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tensor: Add two TLRAM config for full throughput test

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This commit is contained in:
Hansung Kim
2024-10-16 22:15:35 -07:00
parent 6cad8edd18
commit 23edc34c7e
1 changed files with 33 additions and 5 deletions
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38
src/main/scala/radiance/core/TensorCoreDecoupled.scala
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@@ -155,8 +155,8 @@ class TensorCoreDecoupled(
val respATagged = Wire(Decoupled(new TensorMemRespWithTag(dataWidth)))
val respBTagged = Wire(Decoupled(new TensorMemRespWithTag(dataWidth)))
Seq((io.reqA, (io.respA, respATagged)),
(io.reqB, (io.respB, respBTagged))).foreach {
case (req, (resp, respTagged)) => {
(io.reqB, (io.respB, respBTagged))).zipWithIndex.foreach {
case ((req, (resp, respTagged)), i) => {
val sourceGen = Module(new SourceGenerator(
log2Ceil(numSourceIds),
metadata = Some(tag)
@@ -165,7 +165,9 @@ class TensorCoreDecoupled(
sourceGen.io.gen := req.fire
sourceGen.io.meta := tag
req.valid := genReq
req.bits.address := 0.U // FIXME
// FIXME: bogus address
// req.bits.address := (if (i == 0) 0.U else 0x100.U) // avoids bank conflict for A and B
req.bits.address := 0.U
req.bits.source := sourceGen.io.id.bits
sourceGen.io.reclaim.valid := resp.fire
@@ -270,7 +272,8 @@ class TensorCoreDecoupled(
fullAQueue.io.deq.ready := dpuFire && (substepCompute === 1.U)
val nextStepExecute = dpuFire && (substepCompute === 1.U)
// make sure to dequeue from response queues only when both A and B valid
// respQueueA output arbitrates to either halfAQueue or fullAQueue depending
// on the substep
respQueueA.ready := MuxCase(false.B,
Seq((substepExecute === 0.U) -> halfAQueue.io.enq.ready,
(substepExecute === 1.U) -> fullAQueue.io.enq.ready))
@@ -446,10 +449,35 @@ class TensorCoreDecoupledTLRAM(implicit p: Parameters) extends LazyModule {
}
}
// two separate TLRAMs for A and B for full throughput
class TensorCoreDecoupledTwoTLRAM(implicit p: Parameters) extends LazyModule {
val tensor = LazyModule(new TensorCoreDecoupledTL)
val xbar = LazyModule(new TLXbar)
val ramA = LazyModule(new TLRAM(
address = AddressSet(0x000, 0xfffeff),
beatBytes = 32 // FIXME: hardcoded
))
val ramB = LazyModule(new TLRAM(
address = AddressSet(0x100, 0xfffeff),
beatBytes = 32 // FIXME: hardcoded
))
xbar.node :=* tensor.node
ramA.node := xbar.node
ramB.node := xbar.node
lazy val module = new Impl
class Impl extends LazyModuleImp(this) with UnitTestModule {
tensor.module.io.start := io.start
io.finished := tensor.module.io.finished
}
}
// unit test harness
class TensorCoreDecoupledTest(timeout: Int = 500000)(implicit p: Parameters)
extends UnitTest(timeout) {
val dut = Module(LazyModule(new TensorCoreDecoupledTLRAM).module)
// val dut = Module(LazyModule(new TensorCoreDecoupledTLRAM).module)
val dut = Module(LazyModule(new TensorCoreDecoupledTwoTLRAM).module)
dut.io.start := io.start
io.finished := dut.io.finished
}