2 Commits

Author SHA1 Message Date
Zhongdi LUO
2d6bf7dd45 fix: configure tensor DPU precision by architecture 2026-07-13 07:48:00 +00:00
Zhongdi LUO
e8f5bab17e feat: add 4-lane NVIDIA-style configurations 2026-07-13 07:20:42 +00:00
4 changed files with 32 additions and 17 deletions

View File

@@ -17,14 +17,14 @@ RADIANCE_VSRC_DIR = $(base_dir)/generators/radiance/src/main/resources/vsrc
ifeq ($(shell echo $(CONFIG) | grep -E "SynConfig$$"),$(CONFIG))
EXTRA_SIM_PREPROC_DEFINES += +define+SYNTHESIS +define+NDEBUG +define+DPI_DISABLE
endif
ifeq ($(shell echo $(CONFIG) | grep -E "FP16Config$$"),$(CONFIG))
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=8
ifeq ($(shell echo $(CONFIG) | grep -E "(FP16|Volta|Ampere)Config$$"),$(CONFIG))
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=1 +define+TENSOR_DPU_FP16
endif
ifeq ($(shell echo $(CONFIG) | grep -E "HopperConfig$$"),$(CONFIG))
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=4 +define+EXT_T_HOPPER
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=1 +define+EXT_T_HOPPER +define+TENSOR_DPU_FP16
endif
ifeq ($(shell echo $(CONFIG) | grep -E "BlackwellConfig$$"),$(CONFIG))
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=1 +define+NUM_WARPS=4 +define+NUM_THREADS=4 +define+NUM_BARRIERS=4 +define+LSUQ_SIZE=32 +define+EXT_T_BLACKWELL
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=1 +define+EXT_T_BLACKWELL +define+TENSOR_DPU_FP16
endif
ifeq ($(shell echo $(CONFIG) | grep -E "FlashConfig$$"),$(CONFIG))
EXTRA_SIM_PREPROC_DEFINES += +define+NUM_CORES=4

View File

@@ -47,8 +47,16 @@ class TensorCoreDecoupled(
val numSourceIds: Int = 16,
val numFPRegs: Int = 32
) extends Module {
require(numLanes == 4 || numLanes == 8,
s"Hopper tensor core supports 4 or 8 lanes, got ${numLanes}")
val tilingParams =
if (half) TensorTilingParams.fp16 else TensorTilingParams.fp32
if (half && numLanes == 4) {
TensorTilingParams(m = 16, n = 16, k = 32, mc = 4, nc = 2, kc = 8)
} else if (half) {
TensorTilingParams.fp16
} else {
TensorTilingParams.fp32
}
val numWarpBits = log2Ceil(numWarps)
val wordSize = if (half) 2 else 4
val wordSizeInBits = wordSize * 8/*bits*/
@@ -127,7 +135,8 @@ class TensorCoreDecoupled(
// or [0,n/2), where 2 is the stride can be read in a single request size.
require(tilingParams.m == tilingParams.n,
"currently only supports square SMEM tile")
val numIndices = tilingParams.m / 2/*FIXME:hardcoded?*/
val fragmentBytes = memWidth / 8
val numIndices = (tilingParams.m * tilingParams.kc * wordSize) / fragmentBytes
val indexBits = log2Ceil(numIndices)
val lastIndex = (1 << indexBits) - 1
@@ -345,8 +354,10 @@ class TensorCoreDecoupled(
// serialize every two B responses into one full 4x4 B tile
// FIXME: do the same for A
val numBFragmentsPerTile =
(tilingParams.nc * tilingParams.kc * wordSize) / fragmentBytes
val fullB = Module(new FillBuffer(
chiselTypeOf(respQueueB.bits.data), 2/*substeps*/
chiselTypeOf(respQueueB.bits.data), numBFragmentsPerTile
))
fullB.io.enq.valid := respQueueB.valid
fullB.io.enq.bits := respQueueB.bits.data
@@ -524,10 +535,13 @@ class TensorCoreDecoupled(
// select the correct 4x4 tile from A operand buffer
val numTilesM = tilingParams.m / tilingParams.mc
val numTilesMBits = log2Ceil(numTilesM)
val numAFragmentsPerTile =
(tilingParams.mc * tilingParams.kc * wordSize) / fragmentBytes
def selectOperandA(buf: Vec[UInt]): UInt = {
require(buf.length == numIndices)
val stepM = stepCompute & ((1 << numTilesMBits) - 1).U
Cat(buf((stepM << 1) + 1.U), buf(stepM << 1))
val base = stepM * numAFragmentsPerTile.U
Cat((0 until numAFragmentsPerTile).reverse.map(i => buf(base + i.U)))
}
val operandA = selectOperandA(fullABuf.io.deq.bits.data)
val operandATag = fullABuf.io.deq.bits.tag

View File

@@ -764,13 +764,14 @@ class RadianceTileModuleImp(outer: RadianceTile)
}
def connectTensor = {
core.io.tc_tmem_C_rdata := DontCare
if (outer.radianceParams.core.tensorCoreDecoupled) {
val tcb0 = new {
val addr = core.io.tc_a_bits_address(31, 0)
val tag = core.io.tc_a_bits_tag(outer.tensorTagWidth - 1, 0)
val write = core.io.tc_a_bits_write(0)
val mask = core.io.tc_a_bits_mask(31, 0)
val data = core.io.tc_a_bits_data(255, 0)
val mask = core.io.tc_a_bits_mask(outer.tcSmemSize - 1, 0)
val data = core.io.tc_a_bits_data(outer.tcSmemSize * 8 - 1, 0)
val aValid = core.io.tc_a_valid(0)
val dReady = core.io.tc_d_ready(0)
}
@@ -778,8 +779,8 @@ class RadianceTileModuleImp(outer: RadianceTile)
val addr = core.io.tc_a_bits_address(63, 32)
val tag = core.io.tc_a_bits_tag(4 + outer.tensorTagWidth - 1, 4)
val write = core.io.tc_a_bits_write(1)
val mask = core.io.tc_a_bits_mask(63, 32)
val data = core.io.tc_a_bits_data(511, 256)
val mask = core.io.tc_a_bits_mask(2 * outer.tcSmemSize - 1, outer.tcSmemSize)
val data = core.io.tc_a_bits_data(2 * outer.tcSmemSize * 8 - 1, outer.tcSmemSize * 8)
val aValid = core.io.tc_a_valid(1)
val dReady = core.io.tc_d_ready(1)
}
@@ -789,8 +790,8 @@ class RadianceTileModuleImp(outer: RadianceTile)
val adapter = Module(
new VortexTLAdapter(
outer.smemSourceWidth,
new VortexBundleA(tagWidth = outer.tensorTagWidth, dataWidth = 32 * 8),
new VortexBundleD(tagWidth = outer.tensorTagWidth, dataWidth = 32 * 8),
new VortexBundleA(tagWidth = outer.tensorTagWidth, dataWidth = outer.tcSmemSize * 8),
new VortexBundleD(tagWidth = outer.tensorTagWidth, dataWidth = outer.tcSmemSize * 8),
client
)
)
@@ -800,7 +801,7 @@ class RadianceTileModuleImp(outer: RadianceTile)
adapter.io.inReq.valid := bundle.aValid
adapter.io.inReq.bits.address := bundle.addr
adapter.io.inReq.bits.source := bundle.tag
adapter.io.inReq.bits.size := 5.U // 256 bits
adapter.io.inReq.bits.size := log2Ceil(outer.tcSmemSize).U
adapter.io.inReq.bits.opcode := Mux(bundle.write.asBool, TLMessages.PutFullData, TLMessages.Get)
adapter.io.inReq.bits.mask := bundle.mask
adapter.io.inReq.bits.data := bundle.data
@@ -812,7 +813,7 @@ class RadianceTileModuleImp(outer: RadianceTile)
}
core.io.tc_a_ready := Cat(0.U(1.W), adapters.last.io.inReq.ready, adapters.head.io.inReq.ready)
core.io.tc_d_valid := Cat(0.U(1.W), adapters.last.io.inResp.valid, adapters.head.io.inResp.valid)
core.io.tc_d_bits_data := Cat(0.U((32 * 8).W), adapters.last.io.inResp.bits.data, adapters.head.io.inResp.bits.data)
core.io.tc_d_bits_data := Cat(0.U((outer.tcSmemSize * 8).W), adapters.last.io.inResp.bits.data, adapters.head.io.inResp.bits.data)
core.io.tc_d_bits_tag := Cat(0.U(outer.tensorTagWidth.W), adapters.last.io.inResp.bits.source, adapters.head.io.inResp.bits.source)
require(core.io.tc_d_bits_data.widthOption.get == adapters.head.io.inResp.bits.data.widthOption.get * 3)
require(core.io.tc_d_bits_tag.widthOption.get == adapters.head.io.inResp.bits.source.widthOption.get * 3)