cleanup
This commit is contained in:
Richard Yan
@@ -1,7 +1,4 @@
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all: kernel regression opencl riscv unittest
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kernel:
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$(MAKE) -C kernel
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all: regression # opencl
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regression:
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$(MAKE) -C regression
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@@ -11,24 +8,12 @@ ifneq ($(XLEN),64)
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$(MAKE) -C opencl
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endif
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riscv:
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$(MAKE) -C riscv
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unittest:
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$(MAKE) -C unittest
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clean:
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$(MAKE) -C kernel clean
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$(MAKE) -C regression clean
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$(MAKE) -C opencl clean
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$(MAKE) -C riscv clean
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$(MAKE) -C unittest clean
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clean-all:
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$(MAKE) -C kernel clean
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$(MAKE) -C regression clean-all
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$(MAKE) -C opencl clean-all
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$(MAKE) -C riscv clean
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$(MAKE) -C unittest clean
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# $(MAKE) -C opencl clean-all
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.PHONY: all kernel regression opencl riscv unittest
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.PHONY: all regression opencl
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@@ -1,23 +0,0 @@
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all:
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$(MAKE) -C conform
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$(MAKE) -C hello
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$(MAKE) -C fibonacci
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$(MAKE) -C reductions
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run-simx:
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$(MAKE) -C conform run-simx
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$(MAKE) -C hello run-simx
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$(MAKE) -C fibonacci run-simx
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$(MAKE) -C reductions run-simx
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run-rtlsim:
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$(MAKE) -C conform run-rtlsim
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$(MAKE) -C hello run-rtlsim
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$(MAKE) -C fibonacci run-rtlsim
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$(MAKE) -C reductions run-rtlsim
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clean:
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$(MAKE) -C conform clean
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$(MAKE) -C hello clean
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$(MAKE) -C fibonacci clean
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$(MAKE) -C reductions clean
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@@ -1,52 +0,0 @@
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XLEN ?= 32
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TOOLDIR ?= /opt
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ifeq ($(XLEN),64)
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RISCV_TOOLCHAIN_PATH ?= $(TOOLDIR)/riscv64-gnu-toolchain
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CFLAGS += -march=rv64imafd -mabi=lp64d
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else
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RISCV_TOOLCHAIN_PATH ?= $(TOOLDIR)/riscv-gnu-toolchain
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CFLAGS += -march=rv32imaf -mabi=ilp32f
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endif
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RISCV_PREFIX ?= riscv$(XLEN)-unknown-elf
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VORTEX_KN_PATH ?= $(realpath ../../../kernel)
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CC = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-gcc
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AR = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-gcc-ar
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DP = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-objdump
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CP = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-objcopy
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SIM_DIR = ../../../sim
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CFLAGS += -O3 -mcmodel=medany -fno-exceptions -nostartfiles -fdata-sections -ffunction-sections
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CFLAGS += -ffixed-ft0 -ffixed-ft1 -ffixed-ft2 -ffixed-ft3 -ffixed-ft4 -ffixed-ft5 -ffixed-ft6 -ffixed-ft7
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CFLAGS += -ffixed-fs0 -ffixed-fs1 -ffixed-fs2 -ffixed-fs3 -ffixed-fs4 -ffixed-fs5 -ffixed-fs6 -ffixed-fs7
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CFLAGS += -ffixed-fa0 -ffixed-fa1 -ffixed-fa2 -ffixed-fa3 -ffixed-fa4 -ffixed-fa5 -ffixed-fa6 -ffixed-fa7
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CFLAGS += -I$(VORTEX_KN_PATH)/include -I$(VORTEX_KN_PATH)/../hw
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LDFLAGS += -lm -Wl,-Bstatic,--gc-sections,-T,$(VORTEX_KN_PATH)/linker/vx_link$(XLEN).ld,--defsym=STARTUP_ADDR=0x80000000 $(VORTEX_KN_PATH)/libvortexrt.a
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all: $(PROJECT).elf $(PROJECT).bin $(PROJECT).dump
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$(PROJECT).dump: $(PROJECT).elf
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$(DP) -D $(PROJECT).elf > $(PROJECT).dump
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$(PROJECT).bin: $(PROJECT).elf
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$(CP) -O binary $(PROJECT).elf $(PROJECT).bin
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$(PROJECT).elf: $(SRCS) $(DEPS)
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$(CC) $(CFLAGS) $(SRCS) $(LDFLAGS) -o $(PROJECT).elf
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run-rtlsim: $(PROJECT).bin
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$(SIM_DIR)/rtlsim/rtlsim $(PROJECT).bin
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run-simx: $(PROJECT).bin
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$(SIM_DIR)/simx/simx $(PROJECT).bin
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.depend: $(SRCS)
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$(CC) $(CFLAGS) -MM $^ > .depend;
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clean:
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rm -rf *.elf *.bin *.dump .depend
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@@ -1,5 +0,0 @@
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PROJECT = conform
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SRCS = main.cpp tests.cpp
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include ../common.mk
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@@ -1,36 +0,0 @@
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#include "tests.h"
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#include <vx_print.h>
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int main() {
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int errors = 0;
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errors += test_global_memory();
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errors += test_shared_memory();
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errors += test_tmc();
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errors += test_pred();
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errors += test_divergence();
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errors += test_wsapwn();
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errors += test_spawn_tasks();
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errors += test_serial();
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errors += test_tmask();
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errors += test_barrier();
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errors += test_tls();
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if (0 == errors) {
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PRINTF("Passed!\n");
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} else {
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PRINTF("Failed!\n");
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}
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return errors;
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}
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@@ -1,339 +0,0 @@
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#include "tests.h"
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#include <stdio.h>
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#include <algorithm>
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#include <vx_intrinsics.h>
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#include <vx_print.h>
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#include <vx_spawn.h>
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int __attribute__((noinline)) check_error(const int* buffer, int offset, int size) {
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int errors = 0;
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for (int i = offset; i < size; i++) {
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int value = buffer[i];
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int ref_value = 65 + i;
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if (value == ref_value) {
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//PRINTF("[%d] %c\n", i, value);
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} else {
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PRINTF("*** error: [%d] 0x%x, expected 0x%x\n", i, value, ref_value);
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++errors;
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}
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}
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return errors;
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}
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int __attribute__((noinline)) make_select_tmask(int tid) {
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return (1 << tid);
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}
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int __attribute__((noinline)) make_full_tmask(int num_threads) {
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return (1 << num_threads) - 1;
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}
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///////////////////////////////////////////////////////////////////////////////
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#define GLOBAL_MEM_SZ 8
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int global_buffer[GLOBAL_MEM_SZ];
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int test_global_memory() {
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PRINTF("Global Memory Test\n");
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for (int i = 0; i < GLOBAL_MEM_SZ; i++) {
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global_buffer[i] = 65 + i;
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}
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return check_error(global_buffer, 0, GLOBAL_MEM_SZ);
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}
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///////////////////////////////////////////////////////////////////////////////
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int* smem_addr = (int*)SMEM_BASE_ADDR;
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int smem_buffer[8];
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void __attribute__((noinline)) do_smem_wr() {
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unsigned tid = vx_thread_id();
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smem_addr[tid] = 65 + tid;
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}
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void __attribute__((noinline)) do_smem_rd() {
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unsigned tid = vx_thread_id();
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smem_buffer[tid] = smem_addr[tid];
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}
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int test_shared_memory() {
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static const int SHARED_MEM_SZ = 8;
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PRINTF("Shared Memory Test\n");
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int num_threads = std::min(vx_num_threads(), 8);
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int tmask = make_full_tmask(num_threads);
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vx_tmc(tmask);
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do_smem_wr();
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do_smem_rd();
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vx_tmc_one();
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return check_error(smem_buffer, 0, num_threads);
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}
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///////////////////////////////////////////////////////////////////////////////
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int tmc_buffer[8];
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void __attribute__((noinline)) do_tmc() {
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unsigned tid = vx_thread_id();
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tmc_buffer[tid] = 65 + tid;
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}
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int test_tmc() {
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PRINTF("TMC Test\n");
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int num_threads = std::min(vx_num_threads(), 8);
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int tmask = make_full_tmask(num_threads);
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vx_tmc(tmask);
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do_tmc();
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vx_tmc_one();
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return check_error(tmc_buffer, 0, num_threads);
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}
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///////////////////////////////////////////////////////////////////////////////
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int pred_buffer[8];
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void __attribute__((noinline)) do_pred() {
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unsigned tid = vx_thread_id();
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vx_pred((tid == 0), 1);
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pred_buffer[tid] = 65;
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}
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int test_pred() {
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PRINTF("PRED Test\n");
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int num_threads = std::min(vx_num_threads(), 8);
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int tmask = make_full_tmask(num_threads);
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for (int i = 1; i < num_threads; i++) {
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pred_buffer[i] = 65 + i;
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}
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vx_tmc(tmask);
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do_pred();
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vx_tmc_one();
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return check_error(pred_buffer, 0, num_threads);
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}
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///////////////////////////////////////////////////////////////////////////////
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int wspawn_buffer[8];
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void wspawn_kernel() {
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unsigned wid = vx_warp_id();
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wspawn_buffer[wid] = 65 + wid;
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vx_tmc(0 == wid);
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}
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int test_wsapwn() {
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PRINTF("Wspawn Test\n");
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int num_warps = std::min(vx_num_warps(), 8);
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vx_wspawn(num_warps, wspawn_kernel);
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wspawn_kernel();
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return check_error(wspawn_buffer, 0, num_warps);
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}
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///////////////////////////////////////////////////////////////////////////////
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int dvg_buffer[4];
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void __attribute__((noinline)) __attribute__((optimize("O1"))) do_divergence() {
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int tid = vx_thread_id();
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int cond1 = tid < 2;
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int sp1 = vx_split(cond1);
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if (cond1) {
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{
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int cond2 = tid < 1;
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int sp2 = vx_split(cond2);
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if (cond2) {
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dvg_buffer[tid] = 65; // A
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} else {
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dvg_buffer[tid] = 66; // B
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}
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vx_join(sp2);
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}
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{
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int cond3 = tid < 0;
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int sp3 = vx_split(cond3);
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if (cond3) {
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dvg_buffer[tid] = 67; // C
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}
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vx_join(sp3);
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}
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} else {
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{
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int cond2 = tid < 3;
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int sp2 = vx_split(cond2);
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if (cond2) {
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dvg_buffer[tid] = 67; // C
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} else {
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dvg_buffer[tid] = 68; // D
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}
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vx_join(sp2);
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}
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}
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vx_join(sp1);
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}
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int test_divergence() {
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PRINTF("Control Divergence Test\n");
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int num_threads = std::min(vx_num_threads(), 4);
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int tmask = make_full_tmask(num_threads);
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vx_tmc(tmask);
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do_divergence();
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vx_tmc_one();
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return check_error(dvg_buffer, 0, num_threads);
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}
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///////////////////////////////////////////////////////////////////////////////
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#define ST_BUF_SZ 8
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typedef struct {
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int * src;
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int * dst;
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} st_args_t;
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int st_buffer_src[ST_BUF_SZ];
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int st_buffer_dst[ST_BUF_SZ];
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void st_kernel(int task_id, const st_args_t * __UNIFORM__ arg) {
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arg->dst[task_id] = arg->src[task_id];
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}
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int test_spawn_tasks() {
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PRINTF("SpawnTasks Test\n");
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st_args_t arg;
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arg.src = st_buffer_src;
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arg.dst = st_buffer_dst;
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for (int i = 0; i < ST_BUF_SZ; i++) {
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st_buffer_src[i] = 65 + i;
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}
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vx_spawn_tasks(ST_BUF_SZ, (vx_spawn_tasks_cb)st_kernel, &arg);
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return check_error(st_buffer_dst, 0, ST_BUF_SZ);
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}
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|
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///////////////////////////////////////////////////////////////////////////////
|
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|
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typedef struct {
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int * buf;
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} sr_args_t;
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int sr_buffer[8];
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void sr_kernel(const sr_args_t * arg) {
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int tid = vx_thread_id();
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arg->buf[tid] = 65 + tid;
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}
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void __attribute__((noinline)) do_serial() {
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sr_args_t arg;
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arg.buf = sr_buffer;
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vx_serial((vx_serial_cb)sr_kernel, &arg);
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}
|
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|
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int test_serial() {
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PRINTF("Serial Test\n");
|
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int num_threads = std::min(vx_num_threads(), 8);
|
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int tmask = make_full_tmask(num_threads);
|
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vx_tmc(tmask);
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do_serial();
|
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vx_tmc_one();
|
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|
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return check_error(sr_buffer, 0, num_threads);
|
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}
|
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|
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///////////////////////////////////////////////////////////////////////////////
|
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|
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int tmask_buffer[8];
|
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|
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int __attribute__((noinline)) do_tmask() {
|
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int tid = vx_thread_id();
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int tmask = make_select_tmask(tid);
|
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int cur_tmask = vx_thread_mask();
|
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tmask_buffer[tid] = (cur_tmask == tmask) ? (65 + tid) : 0;
|
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return tid + 1;
|
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}
|
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|
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int test_tmask() {
|
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PRINTF("Thread Mask Test\n");
|
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|
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// activate all thread to populate shared variables
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vx_tmc(-1);
|
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|
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int num_threads = std::min(vx_num_threads(), 8);
|
||||
int tid = 0;
|
||||
|
||||
l_start:
|
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int tmask = make_select_tmask(tid);
|
||||
vx_tmc(tmask);
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tid = do_tmask();
|
||||
if (tid < num_threads)
|
||||
goto l_start;
|
||||
vx_tmc_one();
|
||||
|
||||
return check_error(tmask_buffer, 0, num_threads);
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
int barrier_buffer[8];
|
||||
volatile int barrier_ctr;
|
||||
volatile int barrier_stall;
|
||||
|
||||
void barrier_kernel() {
|
||||
unsigned wid = vx_warp_id();
|
||||
for (int i = 0; i <= (wid * 256); ++i) {
|
||||
++barrier_stall;
|
||||
}
|
||||
barrier_buffer[wid] = 65 + wid;
|
||||
vx_barrier(0, barrier_ctr);
|
||||
vx_tmc(0 == wid);
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||||
}
|
||||
|
||||
int test_barrier() {
|
||||
PRINTF("Barrier Test\n");
|
||||
int num_warps = std::min(vx_num_warps(), 8);
|
||||
barrier_ctr = num_warps;
|
||||
barrier_stall = 0;
|
||||
vx_wspawn(num_warps, barrier_kernel);
|
||||
barrier_kernel();
|
||||
return check_error(barrier_buffer, 0, num_warps);
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
int tls_buffer[8];
|
||||
__thread int tls_var;
|
||||
|
||||
__attribute__((noinline)) void print_tls_var() {
|
||||
unsigned wid = vx_warp_id();
|
||||
tls_buffer[wid] = 65 + tls_var;
|
||||
}
|
||||
|
||||
void tls_kernel() {
|
||||
unsigned wid = vx_warp_id();
|
||||
tls_var = wid;
|
||||
print_tls_var();
|
||||
vx_tmc(0 == wid);
|
||||
}
|
||||
|
||||
int test_tls() {
|
||||
PRINTF("TLS Test\n");
|
||||
int num_warps = std::min(vx_num_warps(), 8);
|
||||
vx_wspawn(num_warps, tls_kernel);
|
||||
tls_kernel();
|
||||
return check_error(tls_buffer, 0, num_warps);
|
||||
}
|
||||
@@ -1,28 +0,0 @@
|
||||
#ifndef TESTS
|
||||
#define TESTS
|
||||
|
||||
#define PRINTF vx_printf
|
||||
|
||||
int test_global_memory();
|
||||
|
||||
int test_shared_memory();
|
||||
|
||||
int test_tmc();
|
||||
|
||||
int test_pred();
|
||||
|
||||
int test_divergence();
|
||||
|
||||
int test_wsapwn();
|
||||
|
||||
int test_spawn_tasks();
|
||||
|
||||
int test_serial();
|
||||
|
||||
int test_tmask();
|
||||
|
||||
int test_barrier();
|
||||
|
||||
int test_tls();
|
||||
|
||||
#endif
|
||||
@@ -1,5 +0,0 @@
|
||||
PROJECT = fibonacci
|
||||
|
||||
SRCS = main.cpp
|
||||
|
||||
include ../common.mk
|
||||
@@ -1,33 +0,0 @@
|
||||
#include <stdio.h>
|
||||
#include <vx_print.h>
|
||||
|
||||
const int Num = 9;
|
||||
const int Ans = 34;
|
||||
|
||||
int fibonacci(int n) {
|
||||
if (n <= 1)
|
||||
return n;
|
||||
return fibonacci(n-1) + fibonacci(n-2);
|
||||
}
|
||||
|
||||
int main() {
|
||||
int errors = 0;
|
||||
|
||||
int fib = fibonacci(Num);
|
||||
|
||||
vx_printf("fibonacci(%d) = %d\n", Num, fib);
|
||||
|
||||
if (fib == Ans) {
|
||||
vx_printf("Passed!\n");
|
||||
} else {
|
||||
vx_printf("Failed! value=%d, expected=%d\n", fib, Ans);
|
||||
errors = 1;
|
||||
}
|
||||
|
||||
return errors;
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -1,54 +0,0 @@
|
||||
XLEN ?= 32
|
||||
|
||||
ifeq ($(XLEN),64)
|
||||
RISCV_TOOLCHAIN_PATH ?= /opt/riscv64-gnu-toolchain
|
||||
CFLAGS += -march=rv64imafd -mabi=lp64d
|
||||
else
|
||||
RISCV_TOOLCHAIN_PATH ?= /opt/riscv-gnu-toolchain
|
||||
CFLAGS += -march=rv32imaf -mabi=ilp32f
|
||||
endif
|
||||
|
||||
RISCV_PREFIX ?= riscv$(XLEN)-unknown-elf
|
||||
|
||||
VORTEX_KN_PATH ?= $(realpath ../../../kernel)
|
||||
|
||||
GEMMINI_SW_PATH ?= $(realpath /scratch/yrh/chipyard/generators/gemmini/software/gemmini-rocc-tests)
|
||||
|
||||
CC = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-gcc
|
||||
AR = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-gcc-ar
|
||||
DP = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-objdump
|
||||
CP = $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-objcopy
|
||||
|
||||
SIM_DIR = ../../../sim
|
||||
|
||||
CFLAGS += -O3 -funroll-loops -v -mcmodel=medany -fno-exceptions -nostartfiles -fdata-sections -ffunction-sections
|
||||
CFLAGS += -I$(VORTEX_KN_PATH)/include -I$(VORTEX_KN_PATH)/../hw -I$(GEMMINI_SW_PATH)
|
||||
|
||||
LDFLAGS += -lm -Wl,-Bstatic,--gc-sections,-T,$(VORTEX_KN_PATH)/linker/vx_link$(XLEN).ld,--defsym=STARTUP_ADDR=0x80000000 $(VORTEX_KN_PATH)/libvortexrt.a
|
||||
|
||||
PROJECT = gemmini_mmio
|
||||
|
||||
SRCS = main.cpp
|
||||
|
||||
all: $(PROJECT).elf $(PROJECT).bin $(PROJECT).dump
|
||||
|
||||
$(PROJECT).dump: $(PROJECT).elf
|
||||
$(DP) -D $(PROJECT).elf > $(PROJECT).dump
|
||||
|
||||
$(PROJECT).bin: $(PROJECT).elf
|
||||
$(CP) -O binary $(PROJECT).elf $(PROJECT).bin
|
||||
|
||||
$(PROJECT).elf: $(SRCS)
|
||||
$(CC) $(CFLAGS) $(SRCS) $(LDFLAGS) -o $(PROJECT).elf
|
||||
|
||||
run-rtlsim: $(PROJECT).bin
|
||||
$(SIM_DIR)/rtlsim/rtlsim $(PROJECT).bin
|
||||
|
||||
run-simx: $(PROJECT).bin
|
||||
$(SIM_DIR)/simx/simx $(PROJECT).bin
|
||||
|
||||
.depend: $(SRCS)
|
||||
$(CC) $(CFLAGS) -MM $^ > .depend;
|
||||
|
||||
clean:
|
||||
rm -rf *.elf *.bin *.dump .depend
|
||||
@@ -1 +0,0 @@
|
||||
../../../kernel/include/gemmini_mmio.h
|
||||
@@ -1,144 +0,0 @@
|
||||
#include <stdio.h>
|
||||
#include <stdint.h>
|
||||
#include <vx_intrinsics.h>
|
||||
#include <vx_print.h>
|
||||
#include <vx_spawn.h>
|
||||
#include "include/gemmini.h"
|
||||
#include "gemmini_mmio.h"
|
||||
|
||||
#define rd_cycles(x) asm volatile ("csrr %0, mcycle" : "=r" (x))
|
||||
|
||||
int main() {
|
||||
|
||||
int cid;
|
||||
asm volatile ("csrr %0, 0xcc2" : "=r" (cid));
|
||||
if (cid > 0) vx_tmc(0);
|
||||
|
||||
vx_tmc(0xff);
|
||||
|
||||
// load up A and B and C
|
||||
const uint32_t spad_A = 0x00000000;
|
||||
const uint32_t spad_B = 0x00000080; // 16B word addressed
|
||||
const uint32_t acc_C = 0x80000000; // accmem + accumulate
|
||||
const uint32_t spad_C = 0x00000100;
|
||||
|
||||
volatile float *smem_A = (float *) SPAD_TO_SMEM(spad_A); // 0xff000000; // byte addressed
|
||||
float *smem_B = (float *) SPAD_TO_SMEM(spad_B); // 0xff000200;
|
||||
float *smem_C = (float *) SPAD_TO_SMEM(spad_C); // 0xff000400;
|
||||
|
||||
int I = 32 / DIM;
|
||||
int J = 32 / DIM;
|
||||
int K = 32 / DIM;
|
||||
|
||||
char *print_buf = (char *) PRINT_BUF;
|
||||
|
||||
// int cid = vx_core_id();
|
||||
int nc = vx_num_cores();
|
||||
int nt = vx_num_threads();
|
||||
int tid = vx_thread_id();
|
||||
|
||||
vx_tmc_one();
|
||||
gemmini_config_ld(0);
|
||||
gemmini_extended_config_ex(WEIGHT_STATIONARY, 0, 0, 1, 0, 0);
|
||||
gemmini_config_st(0);
|
||||
/* sprintf(print_buf, "A spad: 0x%x-0x%x, smem: 0x%x-%x\n", spad_A, spad_A + I * K * DIM, (uint32_t) smem_A, (uint32_t) smem_A + sizeof(float) * I * K * DIM * DIM);
|
||||
sprintf(print_buf, "B spad: 0x%x-0x%x, smem: 0x%x-%x\n", spad_B, spad_B + K * J * DIM, (uint32_t) smem_B, (uint32_t) smem_B + sizeof(float) * K * J * DIM * DIM);
|
||||
sprintf(print_buf, "C spad: 0x%x-0x%x, smem: 0x%x-%x\n", spad_C, spad_C + I * J * DIM, (uint32_t) smem_C, (uint32_t) smem_C + sizeof(float) * I * J * DIM * DIM); */
|
||||
|
||||
sprintf(print_buf, "DIM %d\n", DIM);
|
||||
sprintf(print_buf, "num cores %d\n", nc);
|
||||
sprintf(print_buf, "num threads %d\n", nt);
|
||||
sprintf(print_buf, "thread ids ");
|
||||
vx_tmc(-1);
|
||||
sprintf(print_buf, "%d", tid);
|
||||
|
||||
uint32_t start_cycles, end_cycles;
|
||||
|
||||
rd_cycles(start_cycles);
|
||||
// load A with 128->1 in row-major order
|
||||
for (int t = 0; t < DIM * DIM / nt; t++) {
|
||||
int n = tid + t * nt;
|
||||
int x = n / DIM;
|
||||
int y = n % DIM;
|
||||
for (int k = 0; k < K; k++) {
|
||||
for (int i = 0; i < I; i++) {
|
||||
int tile_byte_offset = (i * K + k) * DIM * DIM;
|
||||
smem_A[tile_byte_offset + n] = (float) ((I * K * DIM * DIM - ((i * DIM + x) * DIM * K + (k * DIM + y))) % 64);
|
||||
// smem_A[tile_byte_offset + x * DIM + y] = (float) ((I * K * DIM * DIM - ((i * DIM + x) * DIM * K + (k * DIM + y))) % 64);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// load B with 0->191 in row-major order
|
||||
for (int t = 0; t < DIM * DIM / nt; t++) {
|
||||
int n = tid + t * nt;
|
||||
int x = n / DIM;
|
||||
int y = n % DIM;
|
||||
for (int k = 0; k < K; k++) {
|
||||
for (int j = 0; j < J; j++) {
|
||||
int tile_byte_offset = (k * J + j) * DIM * DIM;
|
||||
smem_B[tile_byte_offset + n] = (float) (((k * DIM + x) * DIM * J + (j * DIM + y)) % 64);
|
||||
}
|
||||
// smem_B[tile_byte_offset + x * DIM + y] = (float) (((k * DIM + x) * DIM * J + (j * DIM + y)) % 64);
|
||||
}
|
||||
}
|
||||
rd_cycles(end_cycles);
|
||||
|
||||
// for (int i = 0; i < I * J * DIM * DIM; i++) smem_C[i] = 1.f;
|
||||
vx_tmc_one();
|
||||
sprintf(print_buf, "\ndata loading took %d cycles for %d floats\n", end_cycles - start_cycles, DIM * DIM * (I * K + J * K));
|
||||
|
||||
gemmini_fence();
|
||||
|
||||
// sprintf(print_buf, "\nA in\n");
|
||||
// for (int i = 0; i < I * DIM; i++) {
|
||||
// for (int j = 0; j < K * DIM; j++) {
|
||||
// sprintf(print_buf, "%d ", (int) (smem_A[SMEM_MAT_OFFSET(i, j, K * DIM)]));
|
||||
// }
|
||||
// sprintf(print_buf, "\n");
|
||||
// }
|
||||
// sprintf(print_buf, "\nB in\n");
|
||||
// for (int i = 0; i < K * DIM; i++) {
|
||||
// for (int j = 0; j < J * DIM; j++) {
|
||||
// sprintf(print_buf, "%d ", (int) (smem_B[SMEM_MAT_OFFSET(i, j, J * DIM)]));
|
||||
// }
|
||||
// sprintf(print_buf, "\n");
|
||||
// if (i == 2) i = K * DIM - 3;
|
||||
// }
|
||||
|
||||
uint32_t fence_cycles;
|
||||
rd_cycles(start_cycles);
|
||||
sp_tiled_matmul_full_spad_ws(spad_A, spad_B, /*spad_D=*/0, spad_C,
|
||||
/*I=*/I, /*J=*/J, /*K=*/K, /*pad_I=*/0, /*pad_J=*/0, /*pad_K=*/0,
|
||||
/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
|
||||
/*acc=*/0, /*act=*/NO_ACTIVATION);
|
||||
|
||||
rd_cycles(fence_cycles);
|
||||
gemmini_fence();
|
||||
rd_cycles(end_cycles);
|
||||
sprintf(print_buf, "gemmini cycles taken: %d, fence cycles: %d\n", end_cycles - start_cycles, end_cycles - fence_cycles);
|
||||
|
||||
// check results
|
||||
for (int i = 0; i < I * DIM; i++) {
|
||||
for (int j = 0; j < J * DIM; j++) {
|
||||
int sum = 0;
|
||||
for (int k = 0; k < K * DIM; k++) sum += ((I * K * DIM * DIM - i * K * DIM - k) % 64) * ((k * J * DIM + j) % 64);
|
||||
if ((int) (smem_C[SMEM_MAT_OFFSET(i, j, J * DIM)] * 10) != (int) (sum * 10)) {
|
||||
sprintf(print_buf, "TEST FAILED (actual/reference)\n");
|
||||
for (int ii = 0; ii < I * DIM; ii++) {
|
||||
for (int jj = 0; jj < J * DIM; jj++) {
|
||||
sum = 0;
|
||||
for (int k = 0; k < K * DIM; k++) sum += ((I * K * DIM * DIM - ii * K * DIM - k) % 64) * ((k * J * DIM + jj) % 64);
|
||||
sprintf(print_buf, "%d/%d ", (int) (smem_C[SMEM_MAT_OFFSET(ii, jj, J * DIM)]), (int) sum);
|
||||
}
|
||||
sprintf(print_buf, "\n");
|
||||
}
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
sprintf(print_buf, "TEST PASSED\n");
|
||||
|
||||
vx_tmc(0);
|
||||
return 0;
|
||||
}
|
||||
@@ -1,5 +0,0 @@
|
||||
PROJECT = hello
|
||||
|
||||
SRCS = main.cpp
|
||||
|
||||
include ../common.mk
|
||||
@@ -1,9 +0,0 @@
|
||||
#include <stdio.h>
|
||||
#include <vx_print.h>
|
||||
|
||||
int main()
|
||||
{
|
||||
vx_printf("Hello World!\n");
|
||||
|
||||
return 0;
|
||||
}
|
||||
@@ -1,5 +0,0 @@
|
||||
PROJECT = reductions
|
||||
|
||||
SRCS = main.cpp
|
||||
|
||||
include ../common.mk
|
||||
@@ -1,217 +0,0 @@
|
||||
#define RISCV_CUSTOM2 0x5B
|
||||
#define ADD_FUNC7 0b0000000
|
||||
#define ADDU_FUNC7 0b1000000
|
||||
#define MIN_FUNC7 0b0000001
|
||||
#define MINU_FUNC7 0b1000001
|
||||
#define MAX_FUNC7 0b0000010
|
||||
#define MAXU_FUNC7 0b1000010
|
||||
#define AND_FUNC7 0b0000011
|
||||
#define OR_FUNC7 0b0000100
|
||||
#define XOR_FUNC7 0b0000101
|
||||
|
||||
/*
|
||||
6'h0: begin
|
||||
op_type = func7[6] ? `INST_RED_ADDU : `INST_RED_ADD;
|
||||
end
|
||||
6'h1: begin
|
||||
op_type = func7[6] ? `INST_RED_MINU : `INST_RED_MIN;
|
||||
end
|
||||
6'h2: begin
|
||||
op_type = func7[6] ? `INST_RED_MAXU : `INST_RED_MAX;
|
||||
end
|
||||
6'h3: begin
|
||||
op_type = `INST_RED_AND;
|
||||
end
|
||||
6'h4: begin
|
||||
op_type = `INST_RED_OR;
|
||||
end
|
||||
6'h5: begin
|
||||
op_type = `INST_RED_XOR;
|
||||
end
|
||||
*/
|
||||
|
||||
#include <vx_intrinsics.h>
|
||||
#include <stdio.h>
|
||||
#include <vx_print.h>
|
||||
|
||||
int x[4] = {3, 7, 2, 5};
|
||||
int y = -1;
|
||||
|
||||
inline int vx_add_reduce(int v) {
|
||||
int ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(ADD_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
inline int vx_min_reduce(int v) {
|
||||
int ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(MIN_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
inline unsigned vx_minu_reduce(unsigned v) {
|
||||
unsigned ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(MINU_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
inline int vx_max_reduce(int v) {
|
||||
int ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(MAX_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
inline unsigned vx_maxu_reduce(unsigned v) {
|
||||
unsigned ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(MAXU_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
|
||||
inline unsigned vx_and_reduce(unsigned v) {
|
||||
unsigned ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(AND_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
inline unsigned vx_or_reduce(unsigned v) {
|
||||
unsigned ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(OR_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
inline unsigned vx_xor_reduce(unsigned v) {
|
||||
unsigned ret;
|
||||
asm volatile (".insn r %2, 0, %3, %0, %1, x0" : "=r"(ret) : "r"(v), "i"(RISCV_CUSTOM2), "i"(XOR_FUNC7));
|
||||
return ret;
|
||||
}
|
||||
|
||||
void test_add_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
int v = x[tid];
|
||||
int reduced = vx_add_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
unsigned unsigned_vector[4] = {(unsigned)-1, 0, (unsigned)-2, 5};
|
||||
|
||||
void test_min_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
int v = unsigned_vector[tid];
|
||||
int reduced = vx_min_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
void test_max_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
int v = unsigned_vector[tid];
|
||||
int reduced = vx_max_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
void test_minu_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
unsigned v = unsigned_vector[tid];
|
||||
unsigned reduced = vx_minu_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
void test_maxu_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
unsigned v = unsigned_vector[tid];
|
||||
unsigned reduced = vx_maxu_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
// assumes NUM_THREADS == 4
|
||||
unsigned bit_vectors[4] = {0b11010110000111001100010100100110, 0b10010100011010001010000000001110, 0b10001001010111110001110000000010, 0b00010011010100101101110111001111};
|
||||
|
||||
void test_and_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
unsigned v = bit_vectors[tid];
|
||||
unsigned reduced = vx_and_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
void test_or_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
unsigned v = bit_vectors[tid];
|
||||
unsigned reduced = vx_or_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
void test_xor_reduce() {
|
||||
vx_tmc(-1);
|
||||
int tid = vx_thread_id();
|
||||
unsigned v = bit_vectors[tid];
|
||||
unsigned reduced = vx_xor_reduce(v);
|
||||
vx_tmc(1);
|
||||
|
||||
y = reduced;
|
||||
}
|
||||
|
||||
int main()
|
||||
{
|
||||
int expected;
|
||||
|
||||
test_add_reduce();
|
||||
vx_printf("add reduce result: %d\n", y);
|
||||
vx_printf("expected: %d\n", x[0] + x[1] + x[2] + x[3]);
|
||||
|
||||
test_min_reduce();
|
||||
vx_printf("min reduce result: %d\n", y);
|
||||
expected = MIN((int)unsigned_vector[0], MIN((int)unsigned_vector[1], MIN((int)unsigned_vector[2], (int)unsigned_vector[3])));
|
||||
vx_printf("expected: %d\n", expected);
|
||||
|
||||
test_max_reduce();
|
||||
vx_printf("max reduce result: %d\n", y);
|
||||
expected = MAX((int)unsigned_vector[0], MAX((int)unsigned_vector[1], MAX((int)unsigned_vector[2], (int)unsigned_vector[3])));
|
||||
vx_printf("expected: %d\n", expected);
|
||||
|
||||
test_minu_reduce();
|
||||
vx_printf("minu reduce result: %d\n", y);
|
||||
expected = MIN(unsigned_vector[0], MIN(unsigned_vector[1], MIN(unsigned_vector[2], unsigned_vector[3])));
|
||||
vx_printf("expected: %d\n", expected);
|
||||
|
||||
test_maxu_reduce();
|
||||
vx_printf("maxu reduce result: %d\n", y);
|
||||
expected = MAX(unsigned_vector[0], MAX(unsigned_vector[1], MAX(unsigned_vector[2], unsigned_vector[3])));
|
||||
vx_printf("expected: %d\n", expected);
|
||||
|
||||
test_and_reduce();
|
||||
vx_printf("and reduce result: %d\n", y);
|
||||
vx_printf("expected: %d\n", bit_vectors[0] & bit_vectors[1] & bit_vectors[2] & bit_vectors[3]);
|
||||
|
||||
|
||||
test_or_reduce();
|
||||
vx_printf("or reduce result: %d\n", y);
|
||||
vx_printf("expected: %d\n", bit_vectors[0] | bit_vectors[1] | bit_vectors[2] | bit_vectors[3]);
|
||||
|
||||
test_xor_reduce();
|
||||
vx_printf("xor reduce result: %d\n", y);
|
||||
vx_printf("expected: %d\n", bit_vectors[0] ^ bit_vectors[1] ^ bit_vectors[2] ^ bit_vectors[3]);
|
||||
|
||||
|
||||
return 0;
|
||||
}
|
||||
@@ -1,22 +0,0 @@
|
||||
PROJECT = tensor
|
||||
|
||||
SRCS = main.cpp
|
||||
DEPS = a_matrix.h
|
||||
DEPS += b_matrix.h
|
||||
DEPS += c_matrix.h
|
||||
|
||||
include ../common.mk
|
||||
|
||||
OBJCOPY ?= $(RISCV_TOOLCHAIN_PATH)/bin/$(RISCV_PREFIX)-objcopy
|
||||
OBJCOPY_FLAGS ?= "LOAD,ALLOC,DATA,CONTENTS"
|
||||
BINFILES := args.bin input.a.bin input.b.bin
|
||||
$(PROJECT).elf: $(SRCS) $(DEPS)
|
||||
$(CC) $(CFLAGS) $(SRCS) $(LDFLAGS) -o $(PROJECT).elf
|
||||
$(OBJCOPY) --set-section-flags .operand.a=$(OBJCOPY_FLAGS) $@
|
||||
$(OBJCOPY) --set-section-flags .operand.b=$(OBJCOPY_FLAGS) $@
|
||||
$(OBJCOPY) --set-section-flags .operand.c=$(OBJCOPY_FLAGS) $@
|
||||
$(OBJCOPY) --set-section-flags .args=$(OBJCOPY_FLAGS) $@
|
||||
$(OBJCOPY) --update-section .operand.a=input.a.bin $@ || true
|
||||
$(OBJCOPY) --update-section .operand.b=input.b.bin $@ || true
|
||||
$(OBJCOPY) --update-section .operand.c=input.c.bin $@ || true
|
||||
$(OBJCOPY) --update-section .args=args.bin $@ || true
|
||||
@@ -1,14 +0,0 @@
|
||||
tensor
|
||||
======
|
||||
|
||||
Unittest kernel for the tensor core.
|
||||
|
||||
Build
|
||||
-----
|
||||
|
||||
```
|
||||
$ python3 generate_matrix.py
|
||||
$ make
|
||||
```
|
||||
|
||||
The generated ELF binary is run standalone; the argument and input matrix binary are hardcoded into the binary.
|
||||
@@ -1,113 +0,0 @@
|
||||
import numpy as np
|
||||
import struct
|
||||
|
||||
def hex2float(float_hex_str):
|
||||
# print(float_hex_str.strip())
|
||||
return struct.unpack(">f",struct.pack(">i",int(float_hex_str,16)))[0]
|
||||
|
||||
|
||||
def C_index(threadgroup, thread, register):
|
||||
"""
|
||||
col = ((tg % 4) / 2) * 8;
|
||||
row = (tg * 8) % 16;
|
||||
row += (tg / 4) * 4;
|
||||
|
||||
asm volatile ("flw f16, %0" :: "m"(C[row+0][col+0]));
|
||||
asm volatile ("flw f17, %0" :: "m"(C[row+0][col+1]));
|
||||
asm volatile ("flw f18, %0" :: "m"(C[row+2][col+0]));
|
||||
asm volatile ("flw f19, %0" :: "m"(C[row+2][col+1]));
|
||||
asm volatile ("flw f20, %0" :: "m"(C[row+0][col+4]));
|
||||
asm volatile ("flw f21, %0" :: "m"(C[row+0][col+5]));
|
||||
asm volatile ("flw f22, %0" :: "m"(C[row+2][col+4]));
|
||||
asm volatile ("flw f23, %0" :: "m"(C[row+2][col+5]));
|
||||
"""
|
||||
|
||||
col = ((threadgroup % 4) // 2) * 8
|
||||
row = (threadgroup * 8) % 16
|
||||
row += (threadgroup // 4) * 4
|
||||
offsets = [(0, 0), (0, 1), (2, 0), (2, 1), (0, 4), (0, 5), (2, 4), (2, 5)]
|
||||
offset = offsets[register-16]
|
||||
row += offset[0]
|
||||
col += offset[1]
|
||||
thread_offsets = [(0, 0), (1, 0), (0, 2), (1, 2)]
|
||||
thread_offset = thread_offsets[thread % 4]
|
||||
row += thread_offset[0]
|
||||
col += thread_offset[1]
|
||||
if C_array[row, col] != 0:
|
||||
print("bad")
|
||||
return (row, col)
|
||||
|
||||
|
||||
def check_sim_output():
|
||||
file = input("simulator output filename: ")
|
||||
|
||||
M = 8
|
||||
N = 8
|
||||
K = 16
|
||||
|
||||
A_array = np.zeros((M, K))
|
||||
B_array = np.zeros((K, N))
|
||||
C_array = np.zeros((M, N))
|
||||
|
||||
with open(file) as f:
|
||||
for line in f.readlines():
|
||||
line = line.strip()
|
||||
if "warp" in line:
|
||||
a, b, c = line.split(',')
|
||||
_, a = a.split(' ')
|
||||
_, b = b.strip().split(' ')
|
||||
c, d = c.strip().split(':')
|
||||
_, c = c.split(' ')
|
||||
warp = int(a)
|
||||
thread = int(b)
|
||||
register = int(c)
|
||||
value = d.strip()
|
||||
|
||||
if warp != 0:
|
||||
continue
|
||||
if not (32 <= register < 32+24):
|
||||
continue
|
||||
|
||||
register = register - 32
|
||||
|
||||
# threadgroups 0, 4, 1, 5 have all elements of A
|
||||
threadgroup = thread // 4
|
||||
if threadgroup in [0, 4, 1, 5]:
|
||||
row = [0, 4, 1, 5].index(threadgroup) * 4 + thread % 4
|
||||
if 0 <= register < 8:
|
||||
A_array[row, register] = hex2float(value)
|
||||
|
||||
if threadgroup in [0, 4, 2, 6]:
|
||||
col = [0, 4, 2, 6].index(threadgroup) * 4 + thread % 4
|
||||
if 8 <= register < 16:
|
||||
B_array[register-8, col] = hex2float(value)
|
||||
|
||||
if 16 <= register < 24:
|
||||
# print(value)
|
||||
C_array[C_index(threadgroup, thread, register)] = hex2float(value)
|
||||
|
||||
return [A_array, B_array, C_array]
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
expected = np.load("abc.npz")
|
||||
expected_A = expected['A_array']
|
||||
expected_B = expected['B_array']
|
||||
expected_C = expected['C_array']
|
||||
expected_C = expected_C + expected_A @ expected_B
|
||||
print('expected A:')
|
||||
print(expected_A)
|
||||
print('expected B:')
|
||||
print(expected_B)
|
||||
print('expected C:')
|
||||
print(expected_C)
|
||||
expected_C.astype('float32').tofile("c_expected.bin")
|
||||
|
||||
[got_A, got_B, got_C] = check_sim_output()
|
||||
print('got C:')
|
||||
print(C_array)
|
||||
print('diff C:')
|
||||
print(expected_C - C_array)
|
||||
assert np.allclose(expected_A, got_A)
|
||||
assert np.allclose(expected_B, got_B)
|
||||
assert np.allclose(expected_C, got_C)
|
||||
@@ -1,159 +0,0 @@
|
||||
import sys
|
||||
import numpy as np
|
||||
|
||||
def parse_mnk():
|
||||
if len(sys.argv) != 4:
|
||||
print(f"usage: {sys.argv[0]} dimM dimN dimK", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
m = int(sys.argv[1])
|
||||
n = int(sys.argv[2])
|
||||
k = int(sys.argv[3])
|
||||
return (m, n, k)
|
||||
|
||||
|
||||
# Reorder array in a way that groups two adjacent elements along the column to
|
||||
# be now adjacent along the row. This way, when the resulting fp16 array is
|
||||
# read in column-major order with 32-bit granularity, the fp16 elements will be
|
||||
# read in the same order as regular fp32 elements in column-major.
|
||||
#
|
||||
# For example:
|
||||
# [[1 2]
|
||||
# [3 4]
|
||||
# [5 6]
|
||||
# [7 8]]
|
||||
# becomes
|
||||
# [[1 3 2 4]
|
||||
# [5 7 6 8]]
|
||||
def pack_fp16_by_column(array):
|
||||
rows = array.shape[0]
|
||||
cols = array.shape[1]
|
||||
|
||||
T = array.transpose([1, 0])
|
||||
T_packed = T.reshape([cols, -1, 2])
|
||||
result = T_packed.transpose([1, 0, 2])
|
||||
return result
|
||||
|
||||
|
||||
# Do the same as pack_fp16_by_column, but for every two elements along the row.
|
||||
def pack_fp16_by_row(array):
|
||||
rows = array.shape[0]
|
||||
cols = array.shape[1]
|
||||
|
||||
result = array.reshape([rows, -1, 2])
|
||||
return result
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
seqlen, _, headdim = parse_mnk()
|
||||
|
||||
rand = True
|
||||
if not rand:
|
||||
A_array = np.arange(seqlen * headdim).reshape([seqlen, headdim])
|
||||
B_array = np.arange(headdim * seqlen).reshape([headdim, seqlen])
|
||||
C_array = np.arange(seqlen * seqlen).reshape([seqlen, headdim])
|
||||
else:
|
||||
np.random.seed(0)
|
||||
A_array = np.random.rand(seqlen, headdim) - 0.5
|
||||
B_array = np.random.rand(headdim, seqlen) - 0.5
|
||||
C_array = np.random.rand(seqlen, headdim) - 0.5
|
||||
# C_array = np.zeros([M, N])
|
||||
|
||||
fp16 = False
|
||||
if fp16:
|
||||
A_packed = pack_fp16_by_row(A_array)
|
||||
AT_packed = A_packed.transpose([1, 0, 2])
|
||||
AT_array = AT_packed.reshape([-1, seqlen * 2])
|
||||
AT_array.astype('float16').tofile("input.a.col.bin")
|
||||
# print('AT:')
|
||||
# print(AT_array)
|
||||
B_packed = pack_fp16_by_column(B_array)
|
||||
B_array = B_packed.reshape([-1, headdim * 2])
|
||||
B_array.astype('float16').tofile("input.b.row.bin")
|
||||
# print('B:')
|
||||
# print(B_array)
|
||||
else:
|
||||
A_array.astype('float32').tofile("input.a.row.bin")
|
||||
AT_array = A_array.transpose([1, 0])
|
||||
AT_array.astype('float32').tofile("input.a.col.bin")
|
||||
B_array.astype('float32').tofile("input.b.bin")
|
||||
C_array.astype('float32').tofile("input.c.bin")
|
||||
# print('AT:')
|
||||
# print(AT_array)
|
||||
# print('B:')
|
||||
# print(B_array)
|
||||
|
||||
assert((seqlen % 64) == 0)
|
||||
|
||||
Br = 64
|
||||
Bc = Br
|
||||
|
||||
rowmax = np.zeros([Br])
|
||||
rowsum = np.zeros([Br])
|
||||
O = np.zeros([Br, headdim])
|
||||
|
||||
def exp2(x):
|
||||
return (x**2) / 2.0 + x + 1.0
|
||||
|
||||
full_S = A_array @ B_array
|
||||
full_S_T = full_S.transpose([1, 0])
|
||||
full_S.astype('float32').tofile("full_S.bin")
|
||||
|
||||
col_to_save = 0
|
||||
|
||||
for col in range(0, seqlen, Bc):
|
||||
print(f"tile iteration {col}~{col + Bc} ======================================")
|
||||
|
||||
# FIXME: only work with the first 64 rows of Q for now
|
||||
Q_tile = A_array[0:64, :]
|
||||
K_tile = B_array[:, col:col+Bc]
|
||||
|
||||
S = Q_tile @ K_tile
|
||||
if col == col_to_save:
|
||||
print('S_expected:')
|
||||
print(S)
|
||||
S.astype('float32').tofile("S_expected.bin")
|
||||
|
||||
# generate rowmax result in online softmax
|
||||
rowmax_this = np.max(S, axis=1)
|
||||
rowmax_prev = rowmax.copy()
|
||||
rowmax = np.maximum(rowmax, rowmax_this)
|
||||
if col == col_to_save:
|
||||
rowmax.astype('float32').tofile("rowmax.bin")
|
||||
|
||||
# subtrace rowmax from each row by broadcasting
|
||||
# (placeholder for exp)
|
||||
x = S - rowmax[:, np.newaxis]
|
||||
P = exp2(x)
|
||||
# for i in range(3, 4):
|
||||
# P += (x**i) / np.math.factorial(i)
|
||||
# P = np.exp(exp)
|
||||
# print('P error:')
|
||||
# print(P / np.exp(x))
|
||||
if col == col_to_save:
|
||||
print('P_expected:')
|
||||
print(P)
|
||||
P.astype('float32').tofile("P_expected.bin")
|
||||
P.transpose([1, 0]).astype('float32').tofile("P_expected.col.bin")
|
||||
|
||||
rowsum_this = np.sum(P, axis=1)
|
||||
x = rowmax_prev - rowmax_this
|
||||
rowsum = exp2(x) * rowsum + rowsum_this
|
||||
if col == col_to_save:
|
||||
rowsum.astype('float32').tofile("rowsum.bin")
|
||||
|
||||
x = rowmax_prev - rowmax
|
||||
O = O / (exp2(x)[:, np.newaxis])
|
||||
if col == col_to_save:
|
||||
print('O_before_PV:')
|
||||
print(O)
|
||||
O.astype('float32').tofile("O_before_PV.bin")
|
||||
|
||||
V = C_array[col:col+Bc, :]
|
||||
if col == col_to_save:
|
||||
V.astype('float32').tofile("V_expected.bin")
|
||||
# O = P.transpose([1, 0]) @ V
|
||||
O = O + P @ V
|
||||
if col == col_to_save:
|
||||
print('O_after_PV:')
|
||||
print(O)
|
||||
O.astype('float32').tofile("O_after_PV.bin")
|
||||
@@ -1,116 +0,0 @@
|
||||
import sys
|
||||
import numpy as np
|
||||
|
||||
def parse_mnk():
|
||||
if len(sys.argv) != 4:
|
||||
print(f"usage: {sys.argv[0]} dimM dimN dimK", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
m = int(sys.argv[1])
|
||||
n = int(sys.argv[2])
|
||||
k = int(sys.argv[3])
|
||||
return (m, n, k)
|
||||
|
||||
|
||||
# Reorder array in a way that groups two adjacent elements along the column to
|
||||
# be now adjacent along the row. This way, when the resulting fp16 array is
|
||||
# read in column-major order with 32-bit granularity, the fp16 elements will be
|
||||
# read in the same order as regular fp32 elements in column-major.
|
||||
#
|
||||
# For example:
|
||||
# [[1 2]
|
||||
# [3 4]
|
||||
# [5 6]
|
||||
# [7 8]]
|
||||
# becomes
|
||||
# [[1 3 2 4]
|
||||
# [5 7 6 8]]
|
||||
def pack_fp16_by_column(array):
|
||||
rows = array.shape[0]
|
||||
cols = array.shape[1]
|
||||
|
||||
T = array.transpose([1, 0])
|
||||
T_packed = T.reshape([cols, -1, 2])
|
||||
result = T_packed.transpose([1, 0, 2])
|
||||
return result
|
||||
|
||||
|
||||
# Do the same as pack_fp16_by_column, but for every two elements along the row.
|
||||
def pack_fp16_by_row(array):
|
||||
rows = array.shape[0]
|
||||
cols = array.shape[1]
|
||||
|
||||
result = array.reshape([rows, -1, 2])
|
||||
return result
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
M, N, K = parse_mnk()
|
||||
|
||||
rand = True
|
||||
if not rand:
|
||||
A_array = np.arange(M * K).reshape([M, K])
|
||||
B_array = np.arange(K * N).reshape([K, N])
|
||||
# C_array = np.arange(M * N).reshape([M, N])
|
||||
C_array = np.zeros([M, N])
|
||||
else:
|
||||
np.random.seed(0)
|
||||
A_array = np.random.rand(M, K)
|
||||
B_array = np.random.rand(K, N)
|
||||
C_array = np.random.rand(N, K)
|
||||
# C_array = np.zeros([M, N])
|
||||
|
||||
with open('a_matrix.h', 'w') as f:
|
||||
for i in range(A_array.shape[0]):
|
||||
for j in range(A_array.shape[1]):
|
||||
f.write(f'{A_array[i,j]:f}f, ')
|
||||
f.write('\n')
|
||||
with open('b_matrix.h', 'w') as f:
|
||||
for i in range(B_array.shape[0]):
|
||||
for j in range(B_array.shape[1]):
|
||||
f.write(f'{B_array[i,j]:f}f, ')
|
||||
f.write('\n')
|
||||
with open('c_matrix.h', 'w') as f:
|
||||
for i in range(C_array.shape[0]):
|
||||
for j in range(C_array.shape[1]):
|
||||
f.write(f'{C_array[i,j]:f}f, ')
|
||||
f.write('\n')
|
||||
|
||||
np.savez("abc", A_array=A_array, B_array=B_array, C_array=C_array)
|
||||
|
||||
fp16 = True
|
||||
if fp16:
|
||||
A_packed = pack_fp16_by_row(A_array)
|
||||
A_swizzled = A_packed.reshape([-1, M * 2])
|
||||
A_swizzled.astype('float16').tofile("input.a.row.bin")
|
||||
AT_packed = A_packed.transpose([1, 0, 2])
|
||||
AT_swizzled = AT_packed.reshape([-1, M * 2])
|
||||
AT_swizzled.astype('float16').tofile("input.a.col.bin")
|
||||
print('A:')
|
||||
print(A_swizzled)
|
||||
print('AT:')
|
||||
print(AT_swizzled)
|
||||
B_array.astype('float16').tofile("input.b.row.bin")
|
||||
# B_packed_row = pack_fp16_by_row(B_array)
|
||||
# B_packed_row = B_packed_row.reshape([-1, N * 2])
|
||||
# B_packed_row.astype('float16').tofile("input.b.row.bin")
|
||||
B_packed = pack_fp16_by_column(B_array)
|
||||
B_swizzled = B_packed.reshape([-1, N * 2])
|
||||
B_swizzled.astype('float16').tofile("input.b.row.swizzled.bin")
|
||||
print('B:')
|
||||
print(B_swizzled)
|
||||
else:
|
||||
A_array.astype('float32').tofile("input.a.row.bin")
|
||||
AT_array = A_array.transpose([1, 0])
|
||||
AT_array.astype('float32').tofile("input.a.col.bin")
|
||||
B_array.astype('float32').tofile("input.b.bin")
|
||||
C_array.astype('float32').tofile("input.c.bin")
|
||||
print('AT:')
|
||||
print(AT_array)
|
||||
print('B:')
|
||||
print(B_array)
|
||||
|
||||
D_expected = A_array @ B_array
|
||||
D_expected.astype('float32').tofile("d_expected.bin")
|
||||
print('D_expected:')
|
||||
print(D_expected)
|
||||
|
||||
@@ -1,277 +0,0 @@
|
||||
#define RISCV_CUSTOM3 0x7B
|
||||
|
||||
#include <vx_spawn.h>
|
||||
#include <vx_intrinsics.h>
|
||||
#include <stdio.h>
|
||||
#include <vx_print.h>
|
||||
|
||||
constexpr int DIM_M = 8;
|
||||
constexpr int DIM_N = 8;
|
||||
constexpr int DIM_K = 8;
|
||||
|
||||
// #include "test_data.h"
|
||||
const float *A = reinterpret_cast<const float *>(0xa0000000UL);
|
||||
const float *B = reinterpret_cast<const float *>(0xa1000000UL);
|
||||
const float *C = reinterpret_cast<const float *>(0xa2000000UL);
|
||||
|
||||
// single "substep" wmma instruction
|
||||
// use accum buffer 0 (f16-f23)
|
||||
inline void vx_wmma_acc0() {
|
||||
asm volatile (".insn r %0, 0, 0, x0, x0, x0" :: "i"(RISCV_CUSTOM3));
|
||||
}
|
||||
|
||||
// single "substep" wmma instruction
|
||||
// use accum buffer 1 (f24-f31)
|
||||
inline void vx_wmma_acc1() {
|
||||
asm volatile (".insn r %0, 0, 0, x1, x0, x0" :: "i"(RISCV_CUSTOM3));
|
||||
}
|
||||
|
||||
inline constexpr void map_operand_32lanes(const int tid, int &row, int &col) {
|
||||
const int tg = tid / 4;
|
||||
|
||||
// A (row major)
|
||||
// Figure 7(a) in paper
|
||||
// row 0~ 3: threadgroups 0 and 2
|
||||
// row 4~ 7: threadgroups 4 and 6
|
||||
// row 8~11: threadgroups 1 and 3
|
||||
// row 12~15: threadgroups 5 and 7
|
||||
row = tid % 4;
|
||||
row += (tg * 8) % 16;
|
||||
row += (tg / 4) * 4;
|
||||
|
||||
// B (column major)
|
||||
// NOTE: Matrix B mapping in Figure 7(a) is incorrect; below is the
|
||||
// corrected mapping:
|
||||
// col 0~ 3: threadgroups 0 and 1
|
||||
// col 4~ 7: threadgroups 4 and 5
|
||||
// col 8~11: threadgroups 2 and 3
|
||||
// col 12~15: threadgroups 6 and 7
|
||||
col = tid % 4;
|
||||
col += ((tg % 4) / 2) * 8;
|
||||
col += (tg / 4) * 4;
|
||||
}
|
||||
|
||||
inline constexpr void map_operand_8lanes(const int tid, int &row, int &col) {
|
||||
const int tg = tid / 4;
|
||||
|
||||
// A (row major)
|
||||
// row 0~ 3: threadgroup 0
|
||||
// row 4~ 7: threadgroup 1
|
||||
row = tid % 4;
|
||||
row += tg * 4;
|
||||
|
||||
// B (column major)
|
||||
// col 0~ 3: threadgroup 0
|
||||
// col 4~ 7: threadgroup 1
|
||||
col = tid % 4;
|
||||
col += tg * 4;
|
||||
}
|
||||
|
||||
inline constexpr void map_c_32lanes(const int tid, int &row, int &col) {
|
||||
const int tg = tid / 4;
|
||||
|
||||
// C
|
||||
// Figure 7(b), left
|
||||
col = ((tg % 4) / 2) * 8;
|
||||
row = (tg * 8) % 16;
|
||||
row += (tg / 4) * 4;
|
||||
|
||||
// Figure 7(b), right
|
||||
row += (tid % 4) % 2;
|
||||
col += ((tid % 4) / 2) * 2;
|
||||
}
|
||||
|
||||
inline constexpr void map_c_8lanes(const int tid, int &row, int &col) {
|
||||
const int tg = tid / 4;
|
||||
|
||||
// C
|
||||
col = 0;
|
||||
row = tg * 4;
|
||||
|
||||
// Figure 7(b), right
|
||||
row += (tid % 4) % 2;
|
||||
col += ((tid % 4) / 2) * 2;
|
||||
}
|
||||
|
||||
inline constexpr void map_c_rowmajor_8lanes(const int tid, int &row, int &col) {
|
||||
const int tg = tid / 4;
|
||||
|
||||
// A (row major)
|
||||
// row 0~ 3: threadgroup 0
|
||||
// row 4~ 7: threadgroup 1
|
||||
row = tid % 4;
|
||||
row += tg * 4;
|
||||
|
||||
// B (column major)
|
||||
// col 0~ 3: threadgroup 0
|
||||
// col 4~ 7: threadgroup 1
|
||||
col = tid % 4;
|
||||
col += tg * 4;
|
||||
}
|
||||
|
||||
|
||||
void vx_wmma_load() {
|
||||
int tid = vx_thread_id();
|
||||
int tg = tid / 4;
|
||||
|
||||
int row = 0;
|
||||
int col = 0;
|
||||
|
||||
map_operand_8lanes(tid, row, col);
|
||||
|
||||
// load A
|
||||
// A is stored K-major in the memory,
|
||||
// loaded K-major into the RF.
|
||||
//
|
||||
// For 32 lanes config, each operand element is read twice by two
|
||||
// threadgroups (Sec. III-B); i.e. 8 regs * 32 lanes = 256 fp32 elements = 2
|
||||
// * (16 * 8) elements
|
||||
asm volatile("flw f0, %0" ::"m"(A[DIM_K * row + 0]));
|
||||
asm volatile("flw f1, %0" ::"m"(A[DIM_K * row + 1]));
|
||||
asm volatile("flw f2, %0" ::"m"(A[DIM_K * row + 2]));
|
||||
asm volatile("flw f3, %0" ::"m"(A[DIM_K * row + 3]));
|
||||
asm volatile("flw f4, %0" ::"m"(A[DIM_K * row + 4]));
|
||||
asm volatile("flw f5, %0" ::"m"(A[DIM_K * row + 5]));
|
||||
asm volatile("flw f6, %0" ::"m"(A[DIM_K * row + 6]));
|
||||
asm volatile("flw f7, %0" ::"m"(A[DIM_K * row + 7]));
|
||||
|
||||
// load B
|
||||
// B is stored N-major in the memory,
|
||||
// loaded K-major into the RF.
|
||||
asm volatile("flw f8 , %0" ::"m"(B[DIM_N * 0 + col]));
|
||||
asm volatile("flw f9 , %0" ::"m"(B[DIM_N * 1 + col]));
|
||||
asm volatile("flw f10, %0" ::"m"(B[DIM_N * 2 + col]));
|
||||
asm volatile("flw f11, %0" ::"m"(B[DIM_N * 3 + col]));
|
||||
asm volatile("flw f12, %0" ::"m"(B[DIM_N * 4 + col]));
|
||||
asm volatile("flw f13, %0" ::"m"(B[DIM_N * 5 + col]));
|
||||
asm volatile("flw f14, %0" ::"m"(B[DIM_N * 6 + col]));
|
||||
asm volatile("flw f15, %0" ::"m"(B[DIM_N * 7 + col]));
|
||||
// B is stored K-major in the memory,
|
||||
// loaded K-major into the RF.
|
||||
// asm volatile("flw f8 , %0" ::"m"(B[DIM_K * row + 0]));
|
||||
// asm volatile("flw f9 , %0" ::"m"(B[DIM_K * row + 1]));
|
||||
// asm volatile("flw f10, %0" ::"m"(B[DIM_K * row + 2]));
|
||||
// asm volatile("flw f11, %0" ::"m"(B[DIM_K * row + 3]));
|
||||
// asm volatile("flw f12, %0" ::"m"(B[DIM_K * row + 4]));
|
||||
// asm volatile("flw f13, %0" ::"m"(B[DIM_K * row + 5]));
|
||||
// asm volatile("flw f14, %0" ::"m"(B[DIM_K * row + 6]));
|
||||
// asm volatile("flw f15, %0" ::"m"(B[DIM_K * row + 7]));
|
||||
|
||||
map_c_8lanes(tid, row, col);
|
||||
|
||||
// load C
|
||||
// accum buffer 0
|
||||
asm volatile("flw f16, %0" ::"m"(C[DIM_N * (row + 0) + col + 0]));
|
||||
asm volatile("flw f17, %0" ::"m"(C[DIM_N * (row + 0) + col + 1]));
|
||||
asm volatile("flw f18, %0" ::"m"(C[DIM_N * (row + 2) + col + 0]));
|
||||
asm volatile("flw f19, %0" ::"m"(C[DIM_N * (row + 2) + col + 1]));
|
||||
asm volatile("flw f20, %0" ::"m"(C[DIM_N * (row + 0) + col + 4]));
|
||||
asm volatile("flw f21, %0" ::"m"(C[DIM_N * (row + 0) + col + 5]));
|
||||
asm volatile("flw f22, %0" ::"m"(C[DIM_N * (row + 2) + col + 4]));
|
||||
asm volatile("flw f23, %0" ::"m"(C[DIM_N * (row + 2) + col + 5]));
|
||||
// accum buffer 1
|
||||
asm volatile("flw f24, %0" ::"m"(C[DIM_N * (row + 0) + col + 0]));
|
||||
asm volatile("flw f25, %0" ::"m"(C[DIM_N * (row + 0) + col + 1]));
|
||||
asm volatile("flw f26, %0" ::"m"(C[DIM_N * (row + 2) + col + 0]));
|
||||
asm volatile("flw f27, %0" ::"m"(C[DIM_N * (row + 2) + col + 1]));
|
||||
asm volatile("flw f28, %0" ::"m"(C[DIM_N * (row + 0) + col + 4]));
|
||||
asm volatile("flw f29, %0" ::"m"(C[DIM_N * (row + 0) + col + 5]));
|
||||
asm volatile("flw f30, %0" ::"m"(C[DIM_N * (row + 2) + col + 4]));
|
||||
asm volatile("flw f31, %0" ::"m"(C[DIM_N * (row + 2) + col + 5]));
|
||||
}
|
||||
|
||||
// hardcoded device address for result
|
||||
float *const results = reinterpret_cast<float *>(0xc0000000UL);
|
||||
|
||||
void store_wmma_result() {
|
||||
int wid = vx_warp_id();
|
||||
int tid = vx_thread_id();
|
||||
int tg = tid / 4;
|
||||
|
||||
int row = 0;
|
||||
int col = 0;
|
||||
|
||||
// map_c_8lanes(tid, row, col);
|
||||
map_c_rowmajor_8lanes(tid, row, col);
|
||||
|
||||
// store C
|
||||
float *const results_wid = results + (DIM_M * DIM_N * wid);
|
||||
|
||||
// asm volatile("fsw f16, %0" ::"m"(results_wid[DIM_N * 0 + col]));
|
||||
// asm volatile("fsw f17, %0" ::"m"(results_wid[DIM_N * 1 + col]));
|
||||
// asm volatile("fsw f18, %0" ::"m"(results_wid[DIM_N * 2 + col]));
|
||||
// asm volatile("fsw f19, %0" ::"m"(results_wid[DIM_N * 3 + col]));
|
||||
// asm volatile("fsw f20, %0" ::"m"(results_wid[DIM_N * 4 + col]));
|
||||
// asm volatile("fsw f21, %0" ::"m"(results_wid[DIM_N * 5 + col]));
|
||||
// asm volatile("fsw f22, %0" ::"m"(results_wid[DIM_N * 6 + col]));
|
||||
// asm volatile("fsw f23, %0" ::"m"(results_wid[DIM_N * 7 + col]));
|
||||
asm volatile("fsw f24, %0" ::"m"(results_wid[DIM_N * 0 + col]));
|
||||
asm volatile("fsw f25, %0" ::"m"(results_wid[DIM_N * 1 + col]));
|
||||
asm volatile("fsw f26, %0" ::"m"(results_wid[DIM_N * 2 + col]));
|
||||
asm volatile("fsw f27, %0" ::"m"(results_wid[DIM_N * 3 + col]));
|
||||
asm volatile("fsw f28, %0" ::"m"(results_wid[DIM_N * 4 + col]));
|
||||
asm volatile("fsw f29, %0" ::"m"(results_wid[DIM_N * 5 + col]));
|
||||
asm volatile("fsw f30, %0" ::"m"(results_wid[DIM_N * 6 + col]));
|
||||
asm volatile("fsw f31, %0" ::"m"(results_wid[DIM_N * 7 + col]));
|
||||
|
||||
|
||||
// 1x2 jagged mapping
|
||||
// asm volatile("fsw f16, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 0)]));
|
||||
// asm volatile("fsw f17, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 1)]));
|
||||
// asm volatile("fsw f18, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 0)]));
|
||||
// asm volatile("fsw f19, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 1)]));
|
||||
// asm volatile("fsw f20, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 4)]));
|
||||
// asm volatile("fsw f21, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 5)]));
|
||||
// asm volatile("fsw f22, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 4)]));
|
||||
// asm volatile("fsw f23, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 5)]));
|
||||
// asm volatile("fsw f24, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 0)]));
|
||||
// asm volatile("fsw f25, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 1)]));
|
||||
// asm volatile("fsw f26, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 0)]));
|
||||
// asm volatile("fsw f27, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 1)]));
|
||||
// asm volatile("fsw f28, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 4)]));
|
||||
// asm volatile("fsw f29, %0" ::"m"(results_wid[DIM_N * (row + 0) + (col + 5)]));
|
||||
// asm volatile("fsw f30, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 4)]));
|
||||
// asm volatile("fsw f31, %0" ::"m"(results_wid[DIM_N * (row + 2) + (col + 5)]));
|
||||
}
|
||||
|
||||
void print_wmma_result() {
|
||||
const int num_threads = vx_num_threads();
|
||||
|
||||
for (int tid = 0; tid < num_threads; tid += 1) {
|
||||
for (int reg = 0; reg < 8; reg += 1) {
|
||||
vx_printf("thread %d, f%d: %x\n", tid, 16 + reg,
|
||||
*((int *)&results[tid * 8 + reg]));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void wmma() {
|
||||
vx_tmc(-1);
|
||||
|
||||
// if (vx_warp_id() == 1) {
|
||||
// for (int i = 0; i < 100; i++) {
|
||||
// asm volatile ("nop");
|
||||
// }
|
||||
// }
|
||||
|
||||
vx_wmma_load();
|
||||
// #pragma GCC unroll 100
|
||||
// for (int i = 0; i < 100; i++) {
|
||||
// vx_wmma_acc0();
|
||||
// }
|
||||
vx_wmma_acc1();
|
||||
|
||||
store_wmma_result();
|
||||
// print_wmma_result();
|
||||
vx_tmc(1);
|
||||
}
|
||||
|
||||
int main() {
|
||||
const int num_warps = vx_num_warps();
|
||||
|
||||
// vx_wspawn(num_warps, wmma);
|
||||
wmma();
|
||||
// vx_wspawn_wait();
|
||||
|
||||
return 0;
|
||||
}
|
||||
@@ -1,11 +0,0 @@
|
||||
float A[16][8] = {
|
||||
#include "a_matrix.h"
|
||||
};
|
||||
|
||||
float B[8][16] = {
|
||||
#include "b_matrix.h"
|
||||
};
|
||||
|
||||
float C[16][16] = {
|
||||
#include "c_matrix.h"
|
||||
};
|
||||
@@ -1,9 +0,0 @@
|
||||
all:
|
||||
|
||||
run-simx:
|
||||
$(MAKE) -C isa run-simx
|
||||
|
||||
run-rtlsim:
|
||||
$(MAKE) -C isa run-rtlsim
|
||||
|
||||
clean:
|
||||
@@ -1,756 +0,0 @@
|
||||
:0200000480007A
|
||||
:1000000093000000130100009301000013020000A0
|
||||
:100010009302000013030000930300001304000088
|
||||
:100020009304000013050000930500001306000070
|
||||
:100030009306000013070000930700001308000058
|
||||
:10004000930800001309000093090000130A000040
|
||||
:10005000930A0000130B0000930B0000130C000028
|
||||
:10006000930C0000130D0000930D0000130E000010
|
||||
:10007000930E0000130F0000930F0000B7E2010081
|
||||
:1000800073A00230930210009392F20163CA02003F
|
||||
:10009000130510009712000023A6A2F66FF05FFF71
|
||||
:1000A00097020000938242047390523097510000EF
|
||||
:1000B0009381413F177200001302B244137202FC95
|
||||
:1000C000732540F1930510006370B500130115000E
|
||||
:1000D0001311110133014100131615013302C2003F
|
||||
:1000E0006F209041130101EF2322110023242100EE
|
||||
:1000F0002326310023284100232A5100232C6100AC
|
||||
:10010000232E710023208102232291022324A102A5
|
||||
:100110002326B1022328C102232AD102232CE10283
|
||||
:10012000232EF1022320010523221105232421057A
|
||||
:100130002326310523284105232A5105232C610557
|
||||
:10014000232E710523208107232291072324A10751
|
||||
:100150002326B1072328C107232AD107232CE1072F
|
||||
:10016000232EF10773252034F325103413060100E4
|
||||
:10017000EF20901173101534B72200009382028093
|
||||
:1001800073A0023083204100032181008321C1003C
|
||||
:100190000322010183224101032381018323C10141
|
||||
:1001A0000324010283244102032581028325C10225
|
||||
:1001B0000326010383264103032781038327C10309
|
||||
:1001C0000328010483284104032981048329C104ED
|
||||
:1001D000032A0105832A4105032B8105832BC105D1
|
||||
:1001E000032C0106832C4106032D8106832DC106B5
|
||||
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:10401800C6020000CB01000029000000FD000000DE
|
||||
:1040280079010000FC010000BC0200005C030000F4
|
||||
:10403800E0010000E5020000F3010000C5020000F5
|
||||
:10404800310000007301000069030000B1030000A3
|
||||
:10405800E00300000E020000D1020000B3010000DE
|
||||
:10406800E8000000F1010000B90200001E00000095
|
||||
:104078005C010000FA0000005E010000FA00000088
|
||||
:104088003D02000010030000ED020000F6010000F0
|
||||
:10409800370300003A030000AA000000A000000057
|
||||
:1040A800C60100004F01000001000000DD03000010
|
||||
:1040B8006D0100003C020000400000009900000073
|
||||
:1040C800D80000008C000000D20000003C02000074
|
||||
:1040D800530100005102000082030000E4000000C8
|
||||
:1040E8000C00000073030000EE02000086020000CE
|
||||
:1040F800F4010000B4010000BD0200002C03000020
|
||||
:10410800D503000096000000B80200003402000049
|
||||
:10411800100100000201000087020000FD010000FC
|
||||
:1041280058000000BF0200009D0200007701000057
|
||||
:1041380027020000A8030000500200003902000016
|
||||
:10414800B8030000200300004802000083020000BA
|
||||
:1041580070010000E9010000480100003901000079
|
||||
:1041680050020000840100001F02000089020000C4
|
||||
:10417800D3030000E50300002E0300004F000000F9
|
||||
:10418800D0000000E6030000750200004F030000A5
|
||||
:10419800C0020000E5030000FD000000CB020000A3
|
||||
:1041A800AE0100009F0100001A020000BC020000DE
|
||||
:1041B80004000000EE01000064000000600300003D
|
||||
:1041C800B5020000A0010000280100001D01000048
|
||||
:1041D8006C0200004E0000005F0100001C0200009D
|
||||
:1041E80086020000A90000000F0200002101000063
|
||||
:1041F8001C03000021030000D0020000F6020000AA
|
||||
:10420800E90200005C000000DD0300000F0100006F
|
||||
:10421800550300001403000013020000DE00000034
|
||||
:10422800CD010000F1000000660100004C01000013
|
||||
:10423800AC020000E4020000BE01000037010000EB
|
||||
:10424800E70200002D020000DF0100002D0200003F
|
||||
:104258009D0300001C030000650100007B030000B3
|
||||
:104268009A020000020200002D020000660300000E
|
||||
:1042780055030000B80100003D000000A602000040
|
||||
:104288008C0100000900000011000000AA000000D5
|
||||
:10429800230100007C01000018020000B9000000A2
|
||||
:1042A800950300001B020000D703000077030000FD
|
||||
:1042B8003600000064020000B7030000DF010000C0
|
||||
:1042C8009700000007000000810200004F01000075
|
||||
:1042D800DA0200005F000000D802000018010000A8
|
||||
:1042E8008B010000B00200008F030000DC01000019
|
||||
:1042F8002F030000D9020000090100007F00000020
|
||||
:10430800EC000000D6000000B40000000600000029
|
||||
:10431800F701000054020000AD0000008302000015
|
||||
:104328005A01000057020000440000005103000039
|
||||
:10433800920200006B020000790000008300000078
|
||||
:104348003C0300009B020000B1010000E7010000EF
|
||||
:10435800F10200007D000000720200000E00000063
|
||||
:104368000A000000930100006A000000BF0200007C
|
||||
:1043780032030000C4030000960100006A03000035
|
||||
:1043880058030000560000003C00000094020000A2
|
||||
:104398009B02000099000000790000006200000004
|
||||
:1043A8009C010000EC0000000C000000A7010000C8
|
||||
:1043B800C5030000D80000006D020000690100007C
|
||||
:1043C80099030000CB020000870200002B010000C7
|
||||
:1043D80076030000AA02000024000000ED0100009E
|
||||
:1043E8002702000019020000C90300008302000030
|
||||
:1043F800B20100009F0100002F010000B60100007B
|
||||
:104408005C030000CB000000DE010000DC030000BC
|
||||
:10441800A3020000CF020000DE03000052010000EA
|
||||
:10442800C2010000790200009B0000008602000023
|
||||
:10443800C4010000AB010000FD010000DC03000026
|
||||
:10444800AA0100000C000000E30100008E0000003B
|
||||
:10445800530100008601000032000000AB0000009C
|
||||
:104468005902000069000000C8030000790000003C
|
||||
:104478006F030000510000006603000058020000AE
|
||||
:104488005B0200006703000077030000620200007F
|
||||
:1044980094010000EA000000E90200000E0200009A
|
||||
:1044A80013010000B9010000E2000000F002000062
|
||||
:1044B800AF030000D6020000C5020000C9000000DA
|
||||
:1044C80036000000F6020000350000008D010000F3
|
||||
:1044D800290000008D000000A0010000EB02000090
|
||||
:1044E800DB000000DE01000002030000B400000051
|
||||
:1044F800E2010000B3020000D5020000AD00000098
|
||||
:10450800BA0000009203000001000000C30300008D
|
||||
:10451800F7000000D00100006A0100000902000055
|
||||
:10452800E900000078000000280000000B030000EC
|
||||
:10453800C3000000A1000000E7020000B70100006E
|
||||
:1045480063010000930100008D0000007902000063
|
||||
:10455800EF010000900400003502000098040000FC
|
||||
:104568005A0400009A030000C40000004E04000032
|
||||
:1045780020030000B10300003F03000042020000D6
|
||||
:10458800F6040000CB0500000A0500009A030000AD
|
||||
:10459800CD030000E103000062030000AE03000049
|
||||
:1045A8009E030000EE0200005005000032060000E5
|
||||
:1045B800140500003C03000023060000AC030000C3
|
||||
:1045C800EA020000AC040000A20400003604000067
|
||||
:1045D80023010000D703000094050000D503000064
|
||||
:1045E8002604000039060000130300008A020000B8
|
||||
:1045F800C30400000504000099030000330600000E
|
||||
:10460800F6040000DA020000D90400007304000078
|
||||
:10461800F50500005D050000E20200004906000003
|
||||
:104628000906000043050000B7050000E00200008D
|
||||
:104638008501000055040000D0050000900300002B
|
||||
:10464800E0030000420500008A0100005406000053
|
||||
:1046580024050000A70200005A0400008F0600008D
|
||||
:10466800FD020000DF0200004202000053050000C6
|
||||
:10467800480400007E020000E4020000EE0300008F
|
||||
:10468800100500008B0100003F020000C505000076
|
||||
:10469800A603000020010000760400007F0300004C
|
||||
:1046A800A104000080040000970400000C0400002E
|
||||
:1046B80058040000C2010000250600004D0100005A
|
||||
:1046C8002E070000A70400006D030000E3020000AD
|
||||
:1046D800FC0300007D0400006D0400004B02000094
|
||||
:1046E800B60500003A0500004D0200005801000020
|
||||
:1046F80064030000DA050000840500004C05000092
|
||||
:10470800C6050000CB040000ED03000033070000DD
|
||||
:10471800B9030000150200005E020000BC0300009F
|
||||
:10472800B403000071030000880200000C050000BB
|
||||
:104738000A0300002101000039030000750400008D
|
||||
:1047480056040000D4020000DA030000B902000099
|
||||
:104758005A07000076030000FF060000E906000083
|
||||
:104768004F02000016060000740600004303000014
|
||||
:10477800CE020000820300009702000087030000B9
|
||||
:1047880073050000060200008A040000B60100005C
|
||||
:104798008D01000004030000860400000D020000E3
|
||||
:1047A800E2040000F10500006E040000650200004C
|
||||
:1047B8008A02000047020000D80200000C02000034
|
||||
:1047C8006F050000FE040000C90100008B03000013
|
||||
:1047D8004D03000079030000C50300002804000011
|
||||
:1047E8006D0500001B050000740100009503000022
|
||||
:1047F80067050000C9030000C103000007040000AA
|
||||
:104808003304000030040000910300004603000058
|
||||
:104818003A010000A7040000470300007E060000DC
|
||||
:10482800A004000096060000BC0200003907000042
|
||||
:10483800E505000042030000970000000E04000098
|
||||
:1048480004030000FF000000F6010000ED02000074
|
||||
:10485800D504000034040000700100003B02000091
|
||||
:10486800FB0300006401000028060000C0020000ED
|
||||
:10487800AE050000C00500009004000070040000B0
|
||||
:10488800C6050000B7020000D10000002C0200009D
|
||||
:10489800A00200009E020000BF060000F70300000F
|
||||
:1048A80069050000C6010000B001000024020000F4
|
||||
:1048B800AB06000080020000DD020000E9040000F1
|
||||
:1048C8003C040000430500006D050000770300006C
|
||||
:1048D800B3040000AD040000460100009902000086
|
||||
:1048E8009B040000A0030000060500000704000068
|
||||
:1048F8009B0400005D000000AD020000E30300001F
|
||||
:10490800EC0100007E040000970100005A0400003A
|
||||
:10491800F3050000B1010000B805000033020000F3
|
||||
:1049280073050000D20200007A0400006A05000046
|
||||
:10493800CC020000B1060000020700007503000069
|
||||
:10494800810200000A010000F9050000430400008C
|
||||
:1049580078020000DC04000015040000DF050000F8
|
||||
:10496800C70400002B0300008F0400008F02000022
|
||||
:10497800FC020000C10400005E0000008A02000082
|
||||
:10498800A2010000890200005C0400004706000044
|
||||
:10499800BB020000C3040000F50400007903000016
|
||||
:1049A80013020000260400003E0600005E0400001A
|
||||
:1049B8009A040000A0050000D2020000760500005D
|
||||
:1049C800DF010000C10300002304000027020000EB
|
||||
:1049D8004502000072010000860100000504000085
|
||||
:1049E80000030000B1030000D4050000AD0300007F
|
||||
:1049F8009A040000CD0400003701000019030000EC
|
||||
:040000058000000077
|
||||
:00000001FF
|
||||
@@ -1,92 +0,0 @@
|
||||
# TODO: Missing features
|
||||
# - unaligned LD/ST (RTL)
|
||||
# - 64-bit float extension (RTL)
|
||||
# - 64-bit double extension (RTL)
|
||||
# - compressed extension
|
||||
# - fence extension
|
||||
# - atomics extension
|
||||
# - vector extension
|
||||
|
||||
XLEN ?= 32
|
||||
|
||||
SIM_DIR = ../../../sim
|
||||
|
||||
TESTS_32I := $(filter-out rv32ui-p-ma_data.hex rv32ui-p-fence_i.hex, $(wildcard rv32ui-p-*.hex))
|
||||
TESTS_32M := $(wildcard rv32um-p-*.hex)
|
||||
TESTS_32A := $(wildcard rv32ua-p-*.hex)
|
||||
TESTS_32F := $(wildcard rv32uf-p-*.hex)
|
||||
TESTS_32D := $(wildcard rv32ud-p-*.hex)
|
||||
|
||||
TESTS_64I := $(filter-out rv64ui-p-ma_data.hex rv64ui-p-fence_i.hex, $(wildcard rv64ui-p-*.hex))
|
||||
TESTS_64M := $(wildcard rv64um-p-*.hex)
|
||||
TESTS_64A := $(wildcard rv64ua-p-*.hex)
|
||||
TESTS_64F := $(wildcard rv64uf-p-*.hex)
|
||||
TESTS_64FX := $(filter-out rv64uf-p-fcvt.hex rv64uf-p-fcvt_w.hex, $(wildcard rv64uf-p-*.hex))
|
||||
TESTS_64D := $(wildcard rv64ud-p-*.hex)
|
||||
|
||||
all:
|
||||
|
||||
run-simx-32imafd:
|
||||
$(foreach test, $(TESTS_32I) $(TESTS_32M) $(TESTS_32F) $(TESTS_32D) $(TESTS_32A), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-64imafd:
|
||||
$(foreach test, $(TESTS_64I) $(TESTS_64M) $(TESTS_64F) $(TESTS_64D) $(TESTS_64A), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-32im:
|
||||
$(foreach test, $(TESTS_32I) $(TESTS_32M), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-32f:
|
||||
$(foreach test, $(TESTS_32F), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-32d:
|
||||
$(foreach test, $(TESTS_32D), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-64im:
|
||||
$(foreach test, $(TESTS_64I) $(TESTS_64M), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-64f:
|
||||
$(foreach test, $(TESTS_64F), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-64fx:
|
||||
$(foreach test, $(TESTS_64FX), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-64d:
|
||||
$(foreach test, $(TESTS_64D), $(SIM_DIR)/simx/simx -r $(test) || exit;)
|
||||
|
||||
run-simx-32: run-simx-32imafd
|
||||
|
||||
run-simx-64: run-simx-32imafd run-simx-64imafd
|
||||
|
||||
run-simx: run-simx-$(XLEN)
|
||||
|
||||
run-rtlsim-32imf:
|
||||
$(foreach test, $(TESTS_32I) $(TESTS_32M) $(TESTS_32F), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-64imf:
|
||||
$(foreach test, $(TESTS_64I) $(TESTS_64M) $(TESTS_64F), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-32im:
|
||||
$(foreach test, $(TESTS_32I) $(TESTS_32M), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-32f:
|
||||
$(foreach test, $(TESTS_32F), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-64im:
|
||||
$(foreach test, $(TESTS_64I) $(TESTS_64M), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-64f:
|
||||
$(foreach test, $(TESTS_64F), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-64fx:
|
||||
$(foreach test, $(TESTS_64FX), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-64d:
|
||||
$(foreach test, $(TESTS_64D), $(SIM_DIR)/rtlsim/rtlsim -r $(test) || exit;)
|
||||
|
||||
run-rtlsim-32: run-rtlsim-32imf
|
||||
|
||||
run-rtlsim-64: run-rtlsim-32imf run-rtlsim-64imf
|
||||
|
||||
run-rtlsim: run-rtlsim-$(XLEN)
|
||||
|
||||
clean:
|
||||
@@ -1,57 +0,0 @@
|
||||
:0200000480007A
|
||||
:100000006F004005732F2034930F8000630AFF03B5
|
||||
:10001000930F90006306FF03930FB0006302FF038A
|
||||
:10002000170F0000130F0F2B63040F0067000F0062
|
||||
:10003000732F203463540F006F00400093E19153FD
|
||||
:10004000171F000023203FFC171F0000232E0FFA6C
|
||||
:100050006FF01FFF930000001301000093010000E8
|
||||
:10006000130200009302000013030000930300003A
|
||||
:100070001304000093040000130500009305000022
|
||||
:10008000130600009306000013070000930700000A
|
||||
:1000900013080000930800001309000093090000F2
|
||||
:1000A000130A0000930A0000130B0000930B0000DA
|
||||
:1000B000130C0000930C0000130D0000930D0000C2
|
||||
:1000C000130E0000930E0000130F0000930F0000AA
|
||||
:1000D000732540F16310050097020000938202012E
|
||||
:1000E000739052307350447497020000938202015F
|
||||
:1000F00073905230735000189702000093820202EE
|
||||
:1001000073905230B70200809382F2FF7390023BEB
|
||||
:100110009302F0017390023A73504030970200004E
|
||||
:1001200093824201739052307350203073503030BC
|
||||
:100130009301000097020000938202ED7390523009
|
||||
:10014000130510001315F501634C05000F00F00FA7
|
||||
:10015000930110009308D005130500007300000000
|
||||
:1001600093020000638A020073905210B7B200003D
|
||||
:100170009382921073902230735000303725000024
|
||||
:100180001305058073200530970200009382420119
|
||||
:1001900073901234732540F17300203093012000D6
|
||||
:1001A00017050000130545017315553093058000B0
|
||||
:1001B00073A0557A731055307310007AF325007AC6
|
||||
:1001C000631EB00E17060000130606027310267A8F
|
||||
:1001D00037050020130545047310157AF325107AAE
|
||||
:1001E0006318B500630E000A930130000325060072
|
||||
:1001F0009301400037050020130515047310157A8C
|
||||
:10020000F325107A6310B50217260000130686DF67
|
||||
:100210007310267A03260600630406089301500033
|
||||
:1002200023200600930160003705002013052504F4
|
||||
:100230007310157AF325107A6312B5062320C600D1
|
||||
:100240009301700003260600631C060413051000CA
|
||||
:100250007310057AF325007A6312B506370500207E
|
||||
:10026000130515047310157A972600009386C6D9D6
|
||||
:100270007390267A9301800083A6060063820602AB
|
||||
:100280009301A000172600001306C6D72320C6003E
|
||||
:100290009301B000032606006314060063103002C9
|
||||
:1002A0000F00F00F638001009391110093E11100A2
|
||||
:1002B0009308D00513850100730000000F00F00FB4
|
||||
:1002C000930110009308D00513050000730000008F
|
||||
:1002D00093F21100E39602FC930230007323203462
|
||||
:1002E000E39062FCF3221034938242007390123444
|
||||
:1002F00073002030731000C00000000000000000F8
|
||||
:1010000000000000000000000000000000000000E0
|
||||
:1010100000000000000000000000000000000000D0
|
||||
:1010200000000000000000000000000000000000C0
|
||||
:1010300000000000000000000000000000000000B0
|
||||
:081040000000000000000000A8
|
||||
:1020000000000000000000000000000000000000D0
|
||||
:040000058000000077
|
||||
:00000001FF
|
||||
@@ -1,77 +0,0 @@
|
||||
:0200000480007A
|
||||
:100000006F004005732F2034930F8000630AFF03B5
|
||||
:10001000930F90006306FF03930FB0006302FF038A
|
||||
:10002000170F0000130F8F3963040F0067000F00D4
|
||||
:10003000732F203463540F006F00400093E19153FD
|
||||
:10004000171F000023203FFC171F0000232E0FFA6C
|
||||
:100050006FF01FFF930000001301000093010000E8
|
||||
:10006000130200009302000013030000930300003A
|
||||
:100070001304000093040000130500009305000022
|
||||
:10008000130600009306000013070000930700000A
|
||||
:1000900013080000930800001309000093090000F2
|
||||
:1000A000130A0000930A0000130B0000930B0000DA
|
||||
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Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user