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config: reduce Radiance shared memory to 32 KiB

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This commit is contained in:
Zhongdi LUO
2026-07-13 08:58:31 +00:00
parent a7b886d1f3
commit 5d9f3633bf
1 changed files with 7 additions and 7 deletions
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14
generators/chipyard/src/main/scala/config/RadianceConfigs.scala
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@@ -58,7 +58,7 @@ class RadianceBaseConfig extends Config(
class RadianceFP16ClusterConfig extends Config(
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 16, accSizeInKB = 32, tileSize = (8, 4, 8), dataType = RadianceGemminiDataType.FP16) ++
new radiance.subsystem.WithRadianceCores(8, location = InCluster(0), tensorCoreFP16 = true, tensorCoreDecoupled = false, useVxCache = false) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 128 << 10, numBanks = 4, numWords = 16) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10, numBanks = 4, numWords = 16) ++
new radiance.subsystem.WithCoalescer(nNewSrcIds = 16) ++
new radiance.subsystem.WithVortexL1Banks(nBanks = 8) ++
new radiance.subsystem.WithRadianceCluster(0) ++
@@ -67,7 +67,7 @@ class RadianceFP16ClusterConfig extends Config(
class Radiance8B8WFP16ClusterConfig extends Config(
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 16, accSizeInKB = 32, tileSize = (8, 4, 8), dataType = RadianceGemminiDataType.FP16) ++
new radiance.subsystem.WithRadianceCores(8, location = InCluster(0), tensorCoreFP16 = true, tensorCoreDecoupled = false, useVxCache = false) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 128 << 10, numBanks = 8, numWords = 8) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10, numBanks = 8, numWords = 8) ++
new radiance.subsystem.WithCoalescer(nNewSrcIds = 16) ++
new radiance.subsystem.WithVortexL1Banks(nBanks = 8) ++
new radiance.subsystem.WithRadianceCluster(0) ++
@@ -76,12 +76,12 @@ class Radiance8B8WFP16ClusterConfig extends Config(
class Radiance4CFP16ClusterConfig extends Config(
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 16, accSizeInKB = 32, tileSize = (8, 4, 8), dataType = RadianceGemminiDataType.FP16) ++
new radiance.subsystem.WithRadianceCores(4, location = InCluster(0), tensorCoreFP16 = true, tensorCoreDecoupled = true, useVxCache = false) ++
// new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 128 << 10, numBanks = 4, numWords = 16,
// new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10, numBanks = 4, numWords = 16,
// memType = radiance.subsystem.TwoReadOneWrite,
// serializeUnaligned = radiance.subsystem.CoreSerialized) ++
// NOTE: Hopper Tensor Core does not work with 16-word config due to the
// address alignment requirement
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 128 << 10, numBanks = 4, numWords = 8) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10, numBanks = 4, numWords = 8) ++
new radiance.subsystem.WithCoalescer(nNewSrcIds = 16) ++
new radiance.subsystem.WithVortexL1Banks(nBanks = 8) ++
new radiance.subsystem.WithRadianceCluster(0) ++
@@ -90,7 +90,7 @@ class Radiance4CFP16ClusterConfig extends Config(
class RadianceBlackwellClusterConfig extends Config(
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 16, accSizeInKB = 32, tileSize = (8, 4, 8), dataType = RadianceGemminiDataType.FP16) ++
new radiance.subsystem.WithRadianceCores(1, location = InCluster(0), tensorCoreFP16 = true, tensorCoreDecoupled = false, tensorCoreBlackwell = true, numTensorWarps = 2, startupAddress = BigInt("80000000", 16), useVxCache = false) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 128 << 10, numBanks = 4, numWords = 8) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10, numBanks = 4, numWords = 8) ++
new radiance.subsystem.WithCoalescer(nNewSrcIds = 16) ++
new radiance.subsystem.WithVortexL1Banks(nBanks = 8) ++
new radiance.subsystem.WithRadianceCluster(0) ++
@@ -102,7 +102,7 @@ class RadianceClusterConfig extends Config(
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 8, accSizeInKB = 16, tileSize = 8) ++
new radiance.subsystem.WithRadianceCores(4, location = InCluster(0), tensorCoreFP16 = false, tensorCoreDecoupled = false, useVxCache = false) ++
// new radiance.subsystem.WithRadianceFrameBuffer(x"ff018000", 16, 0x8000, x"ff011000", "fb0") ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 256 << 10/*KBytes*/, numBanks = 8, numWords = 8,
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10/*KBytes*/, numBanks = 8, numWords = 8,
// memType = radiance.subsystem.TwoReadOneWrite,
serializeUnaligned = radiance.subsystem.CoreSerialized) ++
new radiance.subsystem.WithCoalescer(nNewSrcIds = 16) ++
@@ -135,7 +135,7 @@ class RadianceBigLittleClusterConfig extends Config(
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 4, accSizeInKB = 16, tileSize = 16) ++
new radiance.subsystem.WithRadianceGemmini(location = InCluster(0), dim = 8, accSizeInKB = 16, tileSize = 8) ++
new radiance.subsystem.WithRadianceCores(2, location = InCluster(0), useVxCache = false) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 64 << 10, numBanks = 4, numWords = 8) ++
new radiance.subsystem.WithRadianceSharedMem(address = x"ff000000", size = 32 << 10, numBanks = 4, numWords = 8) ++
new radiance.subsystem.WithCoalescer(nNewSrcIds = 16) ++
new radiance.subsystem.WithVortexL1Banks(nBanks = 8)++
new radiance.subsystem.WithRadianceCluster(0) ++