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5 Commits

Author SHA1 Message Date
NiccoloN 0f13269040 faster DCPAnalysis on partial graph
Validate Operations / validate-operations (push) Successful in 27m37s
2026-04-21 18:36:16 +02:00
NiccoloN dafc1d15b7 faster pim-simulator 2026-04-21 18:35:51 +02:00
NiccoloN 3fa140be25 Merge branch 'main' of chef.heaplab.deib.polimi.it:nnicolosi/Raptor 2026-04-21 16:23:16 +02:00
NiccoloN 9fa850c140 Merge branch 'main' of chef.heaplab.deib.polimi.it:nnicolosi/Raptor 2026-04-21 15:59:08 +02:00
NiccoloN 25ade1bd63 fix memory allocation in pim codegen
fix crossbar allocation to only consider weights from vmm and mvm
2026-04-21 13:31:10 +02:00
9 changed files with 527 additions and 78 deletions
@@ -19,19 +19,19 @@ pub mod utility;
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub struct CoreInstructionsBuilder { pub struct CoreInstructionsBuilder {
core_instructions: Vec<CoreInstruction>, core_instructions: Vec<CoreInstructions>,
} }
impl CoreInstructionsBuilder { impl CoreInstructionsBuilder {
pub fn new(size: usize) -> Self { pub fn new(size: usize) -> Self {
let mut core_instructions = Vec::with_capacity(size); let mut core_instructions = Vec::with_capacity(size);
for _ in 0..=size { for _ in 0..=size {
core_instructions.push(CoreInstruction::empty()); core_instructions.push(CoreInstructions::empty());
} }
Self { core_instructions } Self { core_instructions }
} }
pub fn build(self) -> Vec<CoreInstruction> { pub fn build(self) -> Vec<CoreInstructions> {
self.core_instructions self.core_instructions
} }
@@ -43,12 +43,12 @@ impl CoreInstructionsBuilder {
} }
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub struct CoreInstruction { pub struct CoreInstructions {
instructions: Instructions, instructions: Instructions,
program_counter: usize, program_counter: usize,
} }
impl CoreInstruction { impl CoreInstructions {
fn new(instructions: Instructions, program_counter: usize) -> Self { fn new(instructions: Instructions, program_counter: usize) -> Self {
Self { Self {
instructions, instructions,
@@ -64,9 +64,9 @@ impl CoreInstruction {
} }
} }
impl From<Instructions> for CoreInstruction { impl From<Instructions> for CoreInstructions {
fn from(value: Instructions) -> Self { fn from(value: Instructions) -> Self {
CoreInstruction { CoreInstructions {
instructions: value, instructions: value,
program_counter: 0, program_counter: 0,
} }
@@ -76,27 +76,27 @@ impl From<Instructions> for CoreInstruction {
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub struct Executable<'a> { pub struct Executable<'a> {
cpu: CPU<'a>, cpu: CPU<'a>,
core_instructions: Vec<CoreInstruction>, core_instructions: Vec<CoreInstructions>,
send_recv: SendRecv, send_recv: SendRecv,
} }
fn print_status(core_instructions: &[CoreInstruction]) { fn print_status(core_instructions: &[CoreInstructions]) {
for (i, core_instruction) in core_instructions.iter().enumerate() { let mut tot_instructions = 0;
println!( let mut progress = 0;
"Core {} : {}% ({}/{}) ", for core_instruction in core_instructions.iter() {
i, tot_instructions += core_instruction.instructions.len();
core_instruction.program_counter as f32 / core_instruction.instructions.len() as f32 progress += core_instruction.program_counter;
* 100.0,
core_instruction.program_counter,
core_instruction.instructions.len()
)
} }
println!(
println!(); "Progress: {}% ({}/{}) ",
progress as f32 / tot_instructions as f32 * 100.0,
progress,
tot_instructions
);
} }
impl<'a> Executable<'a> { impl<'a> Executable<'a> {
pub fn new(cpu: CPU<'a>, core_instructions: Vec<CoreInstruction>) -> Executable<'a> { pub fn new(cpu: CPU<'a>, core_instructions: Vec<CoreInstructions>) -> Executable<'a> {
let num_core = cpu.num_core(); let num_core = cpu.num_core();
let send_recv = SendRecv::new(num_core); let send_recv = SendRecv::new(num_core);
assert_eq!( assert_eq!(
@@ -117,21 +117,21 @@ impl<'a> Executable<'a> {
{ {
let Self { let Self {
cpu, cpu,
core_instructions, core_instructions: cores_instructions,
send_recv, send_recv,
} = self; } = self;
let mut cpu_progressed = 0; let mut cpu_progressed = 0;
let max_core = cpu.num_core(); let max_core = cpu.num_core();
let mut index_unit = 0; let mut cpu_index = 0;
let now = SystemTime::now(); let mut now = SystemTime::now();
while (cpu_progressed > -2) { while (cpu_progressed > -2) {
let mut core_result = InstructionStatus::Completed; let mut core_result = InstructionStatus::Completed;
while core_result.is_completed() while core_result.is_completed()
&& let Some(core_instruction) = core_instructions.get_mut(index_unit) && let Some(core_instruction) = cores_instructions.get_mut(cpu_index)
{ {
core_result = InstructionStatus::NotExecuted; core_result = InstructionStatus::NotExecuted;
let CoreInstruction { let CoreInstructions {
instructions, instructions,
program_counter, program_counter,
} = core_instruction; } = core_instruction;
@@ -144,21 +144,31 @@ impl<'a> Executable<'a> {
cpu_progressed = 0; cpu_progressed = 0;
*program_counter += 1; *program_counter += 1;
} }
if (now.elapsed().unwrap() > Duration::from_secs(1)) {
print_status(&cores_instructions);
now = SystemTime::now();
}
} }
if handle_send_recv(cpu, core_instructions, send_recv, core_result) { handle_wait_sync(cpu, cores_instructions, core_result);
cpu_progressed = 0; match handle_send_recv(cpu, cores_instructions, send_recv, core_result) {
} (true, other_cpu_index) => {
handle_wait_sync(cpu, core_instructions, core_result); cpu_progressed = 0;
index_unit = if index_unit + 1 >= max_core { cpu_index = other_cpu_index;
cpu_progressed -= 1; }
0 (false, 0) => {
} else { cpu_index = if cpu_index + 1 >= cores_instructions.len() {
index_unit + 1 cpu_progressed -= 1;
}; 0
if (now.elapsed().unwrap() > Duration::from_secs(1)) { } else {
print_status(&core_instructions); cpu_index + 1
};
}
(false, other_cpu_index) => {
cpu_index = other_cpu_index;
}
} }
} }
print_status(cores_instructions);
} }
pub fn cpu(&self) -> &CPU<'a> { pub fn cpu(&self) -> &CPU<'a> {
@@ -182,7 +192,7 @@ impl<'a> Executable<'a> {
fn handle_wait_sync<'a, 'b, 'c>( fn handle_wait_sync<'a, 'b, 'c>(
cpu: &'b mut CPU<'a>, cpu: &'b mut CPU<'a>,
core_instructions: &'c mut [CoreInstruction], core_instructions: &'c mut [CoreInstructions],
core_result: InstructionStatus, core_result: InstructionStatus,
) where ) where
'a: 'b, 'a: 'b,
@@ -1,7 +1,7 @@
use anyhow::Context; use anyhow::Context;
use crate::{ use crate::{
CoreInstruction, cpu::CPU, instruction_set::InstructionStatus, tracing::TRACER, CoreInstructions, cpu::CPU, instruction_set::InstructionStatus, tracing::TRACER,
utility::add_offset_rd, utility::add_offset_rd,
}; };
@@ -43,14 +43,14 @@ impl SendRecv {
pub fn handle_send_recv<'a, 'b >( pub fn handle_send_recv<'a, 'b >(
cpu: &'b mut CPU<'a>, cpu: &'b mut CPU<'a>,
core_instructions: & mut [CoreInstruction], core_instructions: & mut [CoreInstructions],
send_recv: & mut SendRecv, send_recv: & mut SendRecv,
core_result: InstructionStatus, core_result: InstructionStatus,
) -> bool ) -> (bool, usize)
where 'a : 'b where 'a : 'b
{ {
let transfer_memory = |cpu: &'b mut CPU<'a>, let transfer_memory = |cpu: &'b mut CPU<'a>,
core_instructions: & mut [CoreInstruction], core_instructions: & mut [CoreInstructions],
sender: Option<SendRecvInfo>, sender: Option<SendRecvInfo>,
receiver: Option<SendRecvInfo>| { receiver: Option<SendRecvInfo>| {
if let Some(sender) = sender if let Some(sender) = sender
@@ -119,7 +119,7 @@ where 'a : 'b
send_recv.sending[sender] = None; send_recv.sending[sender] = None;
send_recv.receiving[receiver] = None; send_recv.receiving[receiver] = None;
} }
transfered (transfered, receiver)
} }
InstructionStatus::Reciving(instruction_data) => { InstructionStatus::Reciving(instruction_data) => {
let (core_idx, imm_core) = instruction_data.get_core_immcore(); let (core_idx, imm_core) = instruction_data.get_core_immcore();
@@ -148,8 +148,8 @@ where 'a : 'b
send_recv.sending[sender] = None; send_recv.sending[sender] = None;
send_recv.receiving[receiver] = None; send_recv.receiving[receiver] = None;
} }
transfered (transfered, sender)
} }
_ => false, _ => (false, 0),
} }
} }
+52 -17
View File
@@ -5,6 +5,7 @@
#include "mlir/IR/BuiltinTypes.h" #include "mlir/IR/BuiltinTypes.h"
#include "llvm/ADT/DenseMap.h" #include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/Support/FileSystem.h" #include "llvm/Support/FileSystem.h"
#include "llvm/Support/JSON.h" #include "llvm/Support/JSON.h"
#include "llvm/Support/raw_ostream.h" #include "llvm/Support/raw_ostream.h"
@@ -33,6 +34,12 @@ MemEntry* PimMemory::gatherMemEntry(mlir::Value value) {
return &memEntries.emplace_back(memEntry, value).first; return &memEntries.emplace_back(memEntry, value).first;
} }
void PimMemory::allocateGatheredMemory() {
llvm::sort(memEntries, [](auto a, auto b) -> bool { return a.first.size > b.first.size; });
for (auto& [memEntry, value] : memEntries)
allocateMemoryForValue(value, memEntry);
}
void PimMemory::allocateMemoryForValue(mlir::Value value, MemEntry& memEntry) { void PimMemory::allocateMemoryForValue(mlir::Value value, MemEntry& memEntry) {
memEntry.address = firstAvailableAddress; memEntry.address = firstAvailableAddress;
firstAvailableAddress += memEntry.size; firstAvailableAddress += memEntry.size;
@@ -44,35 +51,37 @@ void PimMemory::allocateMemoryForValue(mlir::Value value, MemEntry& memEntry) {
} }
void PimMemory::allocateHost(ModuleOp moduleOp, func::FuncOp funcOp) { void PimMemory::allocateHost(ModuleOp moduleOp, func::FuncOp funcOp) {
// More than one SSA value per single global constant: SmallDenseMap<memref::GlobalOp, mlir::Value, 8> globalConstants;
// Cannot call gatherMemEntry for each of them, otherwise memory will be allocated multiple times SmallVector<std::pair<mlir::Value, mlir::Value>, 16> globalAliases;
// Thus, call gatherMemEntry only for the first SSA value and assign the same memEntry to all others
SmallDenseMap<memref::GlobalOp, MemEntry*, 8> globalConstants;
funcOp.walk([&](memref::GetGlobalOp getGlobalOp) { funcOp.walk([&](memref::GetGlobalOp getGlobalOp) {
if (!hasWeightAlways(getGlobalOp)) { if (!hasWeightAlways(getGlobalOp)) {
auto globalMemrefOp = lookupGlobalForGetGlobal(moduleOp, getGlobalOp); auto globalMemrefOp = lookupGlobalForGetGlobal(moduleOp, getGlobalOp);
auto iter = globalConstants.find(globalMemrefOp); auto [iter, inserted] = globalConstants.try_emplace(globalMemrefOp, getGlobalOp.getResult());
if (iter == globalConstants.end()) if (inserted)
globalConstants[globalMemrefOp] = gatherMemEntry(getGlobalOp); gatherMemEntry(getGlobalOp.getResult());
else { else
MemEntry memEntry = *iter->second; globalAliases.push_back({getGlobalOp.getResult(), iter->second});
globalMemEntriesMap[getGlobalOp] = memEntry;
}
} }
}); });
for (mlir::Value arg : funcOp.getArguments()) for (mlir::Value arg : funcOp.getArguments())
gatherMemEntry(arg); gatherMemEntry(arg);
allocateCore(funcOp); funcOp.walk([&](memref::AllocOp allocOp) {
if (!allocOp->getParentOfType<pim::PimCoreOp>())
gatherMemEntry(allocOp.getResult());
});
allocateGatheredMemory();
for (auto [alias, original] : globalAliases)
globalMemEntriesMap[alias] = getMemEntry(original);
} }
void PimMemory::allocateCore(Operation* op) { void PimMemory::allocateCore(Operation* op) {
op->walk([&](memref::AllocOp allocOp) { gatherMemEntry(allocOp); }); op->walk([&](memref::AllocOp allocOp) { gatherMemEntry(allocOp); });
llvm::sort(memEntries, [](auto a, auto b) -> bool { return a.first.size > b.first.size; }); allocateGatheredMemory();
for (auto& [memEntry, value] : memEntries)
allocateMemoryForValue(value, memEntry);
} }
MemEntry PimMemory::getMemEntry(mlir::Value value) const { MemEntry PimMemory::getMemEntry(mlir::Value value) const {
@@ -465,6 +474,19 @@ std::string getMemorySizeAsString(size_t size) {
return std::to_string(size) + " Bytes"; return std::to_string(size) + " Bytes";
} }
static SmallVector<unsigned, 8> getUsedWeightIndices(pim::PimCoreOp coreOp) {
SmallVector<unsigned, 8> indices;
auto addIndex = [&](unsigned weightIndex) {
if (!llvm::is_contained(indices, weightIndex))
indices.push_back(weightIndex);
};
coreOp.walk([&](pim::PimMVMOp mvmOp) { addIndex(mvmOp.getWeightIndex()); });
coreOp.walk([&](pim::PimVMMOp vmmOp) { addIndex(vmmOp.getWeightIndex()); });
llvm::sort(indices);
return indices;
}
/// Write global constant data into a binary memory image at their allocated addresses. /// Write global constant data into a binary memory image at their allocated addresses.
static OnnxMlirCompilerErrorCodes static OnnxMlirCompilerErrorCodes
writeMemoryBinary(ModuleOp moduleOp, func::FuncOp funcOp, PimAcceleratorMemory& memory, StringRef outputDirPath) { writeMemoryBinary(ModuleOp moduleOp, func::FuncOp funcOp, PimAcceleratorMemory& memory, StringRef outputDirPath) {
@@ -478,12 +500,15 @@ writeMemoryBinary(ModuleOp moduleOp, func::FuncOp funcOp, PimAcceleratorMemory&
std::vector<char> memoryBuffer(memory.hostMem.getFirstAvailableAddress(), 0); std::vector<char> memoryBuffer(memory.hostMem.getFirstAvailableAddress(), 0);
SmallPtrSet<Operation*, 16> writtenGlobals;
funcOp.walk([&](memref::GetGlobalOp getGlobalOp) { funcOp.walk([&](memref::GetGlobalOp getGlobalOp) {
if (hasWeightAlways(getGlobalOp)) if (hasWeightAlways(getGlobalOp))
return; return;
auto globalOp = lookupGlobalForGetGlobal(moduleOp, getGlobalOp); auto globalOp = lookupGlobalForGetGlobal(moduleOp, getGlobalOp);
if (!globalOp) if (!globalOp)
return; return;
if (!writtenGlobals.insert(globalOp.getOperation()).second)
return;
auto initialValue = globalOp.getInitialValue(); auto initialValue = globalOp.getInitialValue();
if (!initialValue) if (!initialValue)
return; return;
@@ -658,7 +683,12 @@ createAndPopulateWeightFolder(func::FuncOp funcOp, StringRef outputDirPath) {
llvm::DenseMap<memref::GlobalOp, std::string> mapGlobalOpToFileName; llvm::DenseMap<memref::GlobalOp, std::string> mapGlobalOpToFileName;
for (pim::PimCoreOp coreOp : funcOp.getOps<pim::PimCoreOp>()) { for (pim::PimCoreOp coreOp : funcOp.getOps<pim::PimCoreOp>()) {
for (auto [index, weight] : llvm::enumerate(coreOp.getWeights())) { for (unsigned index : getUsedWeightIndices(coreOp)) {
if (index >= coreOp.getWeights().size()) {
coreOp.emitWarning("Weight index " + std::to_string(index) + " is out of range");
assert(index < coreOp.getWeights().size() && "Weight index is out of range");
}
mlir::Value weight = coreOp.getWeights()[index];
auto getGlobalOp = weight.getDefiningOp<memref::GetGlobalOp>(); auto getGlobalOp = weight.getDefiningOp<memref::GetGlobalOp>();
if (!getGlobalOp) { if (!getGlobalOp) {
@@ -855,7 +885,12 @@ OnnxMlirCompilerErrorCodes onnx_mlir::compileToPimJson(ModuleOp& moduleOp, std::
auto& mapWeightToFile = mapCoreWeightToFileName[coreOp]; auto& mapWeightToFile = mapCoreWeightToFileName[coreOp];
json::Array xbarsPerGroup; json::Array xbarsPerGroup;
for (auto [index, weight] : llvm::enumerate(coreOp.getWeights())) { for (unsigned index : getUsedWeightIndices(coreOp)) {
if (index >= coreOp.getWeights().size()) {
coreOp.emitWarning("Weight index " + std::to_string(index) + " is out of range");
assert(index < coreOp.getWeights().size() && "Weight index is out of range");
}
mlir::Value weight = coreOp.getWeights()[index];
xbarsPerGroup.push_back(index); xbarsPerGroup.push_back(index);
assert(mapWeightToFile.contains(weight) && "Weight was not materialized into a file!!"); assert(mapWeightToFile.contains(weight) && "Weight was not materialized into a file!!");
auto& fileName = mapWeightToFile[weight]; auto& fileName = mapWeightToFile[weight];
+1
View File
@@ -24,6 +24,7 @@ class PimMemory {
size_t firstAvailableAddress = 0; size_t firstAvailableAddress = 0;
MemEntry* gatherMemEntry(mlir::Value value); MemEntry* gatherMemEntry(mlir::Value value);
void allocateGatheredMemory();
void allocateMemoryForValue(mlir::Value value, MemEntry& memEntry); void allocateMemoryForValue(mlir::Value value, MemEntry& memEntry);
public: public:
+6
View File
@@ -47,6 +47,12 @@ llvm::cl::opt<long> coresCount("core-count",
llvm::cl::desc("Number of cores in the chip. `-1` to use the minimum amount of cores."), llvm::cl::desc("Number of cores in the chip. `-1` to use the minimum amount of cores."),
llvm::cl::init(-1)); llvm::cl::init(-1));
llvm::cl::opt<size_t> dcpCriticalWindowSize(
"dcp-critical-window-size",
llvm::cl::desc("Number of lowest-slack virtual nodes considered by each DCP coarsening iteration. "
"Use 0 to run the legacy full-graph DCP analysis."),
llvm::cl::init(1024));
llvm::cl::opt<bool> llvm::cl::opt<bool>
ignoreConcatError("ignore-concat-error", ignoreConcatError("ignore-concat-error",
llvm::cl::desc("Ignore ConcatOp corner case: do not assert and do a simplification"), llvm::cl::desc("Ignore ConcatOp corner case: do not assert and do a simplification"),
+1
View File
@@ -29,6 +29,7 @@ extern llvm::cl::opt<bool> useExperimentalConvImpl;
extern llvm::cl::opt<size_t> crossbarSize; extern llvm::cl::opt<size_t> crossbarSize;
extern llvm::cl::opt<size_t> crossbarCountInCore; extern llvm::cl::opt<size_t> crossbarCountInCore;
extern llvm::cl::opt<long> coresCount; extern llvm::cl::opt<long> coresCount;
extern llvm::cl::opt<size_t> dcpCriticalWindowSize;
// This option, by default set to false, will ignore an error when resolving a // This option, by default set to false, will ignore an error when resolving a
// specific tiles of the operands of a concat. This specific case is when the // specific tiles of the operands of a concat. This specific case is when the
@@ -93,15 +93,22 @@ void PimBufferizationPass::runOnOperation() {
} }
void PimBufferizationPass::annotateWeightsMemrefs(ModuleOp moduleOp, func::FuncOp funcOp) const { void PimBufferizationPass::annotateWeightsMemrefs(ModuleOp moduleOp, func::FuncOp funcOp) const {
funcOp.walk([&](memref::GetGlobalOp getGlobalOp) { funcOp.walk([&](PimCoreOp coreOp) {
bool isAlwaysWeight = !getGlobalOp->getUsers().empty() auto annotateWeight = [&](unsigned weightIndex) {
&& all_of(getGlobalOp->getUsers(), [](auto user) -> bool { return isa<PimCoreOp>(user); }); if (weightIndex >= coreOp.getWeights().size())
if (isAlwaysWeight) { return;
Value weight = coreOp.getWeights()[weightIndex];
auto getGlobalOp = weight.getDefiningOp<memref::GetGlobalOp>();
if (!getGlobalOp)
return;
auto globalMemrefOp = lookupGlobalForGetGlobal(moduleOp, getGlobalOp); auto globalMemrefOp = lookupGlobalForGetGlobal(moduleOp, getGlobalOp);
assert("Weights must be constants" && globalMemrefOp.getConstant()); assert("Weights must be constants" && globalMemrefOp.getConstant());
markWeightAlways(getGlobalOp); markWeightAlways(getGlobalOp);
markWeightAlways(globalMemrefOp); markWeightAlways(globalMemrefOp);
} };
coreOp.walk([&](PimMVMOp mvmOp) { annotateWeight(mvmOp.getWeightIndex()); });
coreOp.walk([&](PimVMMOp vmmOp) { annotateWeight(vmmOp.getWeightIndex()); });
}); });
} }
@@ -6,10 +6,18 @@
#include "llvm/ADT/STLExtras.h" #include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h" #include "llvm/Support/Casting.h"
#include <algorithm>
#include <iterator> #include <iterator>
#include <map>
#include <numeric>
#include <optional>
#include <set>
#include <utility>
#include <vector>
#include "DCPAnalysis.hpp" #include "DCPAnalysis.hpp"
#include "Graph.hpp" #include "Graph.hpp"
#include "src/Accelerators/PIM/Compiler/PimCompilerOptions.hpp"
#include "src/Support/TypeUtilities.hpp" #include "src/Support/TypeUtilities.hpp"
namespace onnx_mlir { namespace onnx_mlir {
@@ -17,6 +25,361 @@ namespace spatial {
using namespace mlir; using namespace mlir;
namespace {
struct VirtualNode {
llvm::SmallVector<size_t, 4> originalComputeIndices;
Weight weight = 0;
CrossbarUsage crossbarUsage = 0;
};
struct VirtualGraph {
std::vector<VirtualNode> nodes;
std::vector<IndexedEdge> edges;
};
struct TimingInfo {
std::vector<Time> aest;
std::vector<Time> alst;
std::vector<size_t> topologicalOrder;
bool valid = false;
};
struct WindowScheduleResult {
std::vector<std::vector<size_t>> mergeGroups;
bool usedAllAvailableCpus = false;
};
std::vector<IndexedEdge> aggregateEdges(llvm::ArrayRef<IndexedEdge> edges) {
std::map<std::pair<size_t, size_t>, Weight> edgeWeights;
for (auto [start, end, weight] : edges) {
size_t startIndex = static_cast<size_t>(start);
size_t endIndex = static_cast<size_t>(end);
if (startIndex == endIndex)
continue;
auto key = std::make_pair(startIndex, endIndex);
Weight edgeWeight = static_cast<Weight>(weight);
auto it = edgeWeights.find(key);
if (it == edgeWeights.end())
edgeWeights.insert({key, edgeWeight});
else
it->second = std::max(it->second, edgeWeight);
}
std::vector<IndexedEdge> aggregatedEdges;
aggregatedEdges.reserve(edgeWeights.size());
for (auto [key, weight] : edgeWeights)
aggregatedEdges.push_back(
{static_cast<int64_t>(key.first), static_cast<int64_t>(key.second), static_cast<int64_t>(weight)});
return aggregatedEdges;
}
VirtualGraph buildInitialVirtualGraph(llvm::ArrayRef<SpatWeightedCompute> spatWeightedComputes,
llvm::ArrayRef<IndexedEdge> edges) {
VirtualGraph graph;
graph.nodes.reserve(spatWeightedComputes.size());
for (auto [index, spatWeightedCompute] : llvm::enumerate(spatWeightedComputes)) {
VirtualNode node;
node.originalComputeIndices.push_back(index);
node.weight = getSpatComputeWeight(spatWeightedCompute);
node.crossbarUsage = getSpatComputeCrossbarUsage(spatWeightedCompute);
graph.nodes.push_back(std::move(node));
}
graph.edges = aggregateEdges(edges);
return graph;
}
TimingInfo computeTiming(const VirtualGraph& graph) {
TimingInfo timing;
size_t nodeCount = graph.nodes.size();
timing.aest.assign(nodeCount, 0);
timing.alst.assign(nodeCount, 0);
timing.topologicalOrder.reserve(nodeCount);
std::vector<std::vector<std::pair<size_t, Weight>>> parents(nodeCount);
std::vector<std::vector<std::pair<size_t, Weight>>> children(nodeCount);
std::vector<size_t> incomingEdgeCount(nodeCount, 0);
for (auto [start, end, weight] : graph.edges) {
size_t startIndex = static_cast<size_t>(start);
size_t endIndex = static_cast<size_t>(end);
Weight edgeWeight = static_cast<Weight>(weight);
assert(startIndex < nodeCount && endIndex < nodeCount && "virtual edge endpoint out of range");
children[startIndex].push_back({endIndex, edgeWeight});
parents[endIndex].push_back({startIndex, edgeWeight});
incomingEdgeCount[endIndex]++;
}
std::vector<size_t> readyNodes;
readyNodes.reserve(nodeCount);
for (size_t i = 0; i < nodeCount; ++i)
if (incomingEdgeCount[i] == 0)
readyNodes.push_back(i);
size_t readyIndex = 0;
while (readyIndex != readyNodes.size()) {
size_t current = readyNodes[readyIndex++];
timing.topologicalOrder.push_back(current);
for (auto [child, weight] : children[current]) {
(void) weight;
assert(incomingEdgeCount[child] > 0 && "incoming edge count underflow");
incomingEdgeCount[child]--;
if (incomingEdgeCount[child] == 0)
readyNodes.push_back(child);
}
}
if (timing.topologicalOrder.size() != nodeCount)
return timing;
Time dcpl = 0;
for (size_t nodeIndex : timing.topologicalOrder) {
Time maxParentAest = 0;
for (auto [parent, transferCost] : parents[nodeIndex]) {
maxParentAest =
std::max(maxParentAest, addOrMax(addOrMax(timing.aest[parent], graph.nodes[parent].weight), transferCost));
}
timing.aest[nodeIndex] = maxParentAest;
dcpl = std::max(dcpl, addOrMax(maxParentAest, graph.nodes[nodeIndex].weight));
}
for (size_t nodeIndex : llvm::reverse(timing.topologicalOrder)) {
Time minAlst = std::numeric_limits<Time>::max();
if (children[nodeIndex].empty())
minAlst = subtractOrZero(dcpl, graph.nodes[nodeIndex].weight);
for (auto [child, transferCost] : children[nodeIndex]) {
minAlst =
std::min(minAlst, subtractOrZero(timing.alst[child], addOrMax(graph.nodes[nodeIndex].weight, transferCost)));
}
timing.alst[nodeIndex] = minAlst;
}
timing.valid = true;
return timing;
}
std::vector<size_t> selectCriticalWindow(const TimingInfo& timing, size_t windowSize) {
std::vector<size_t> selected(timing.aest.size());
std::iota(selected.begin(), selected.end(), 0);
std::stable_sort(selected.begin(), selected.end(), [&](size_t lhs, size_t rhs) {
Time lhsSlack = slackOrZero(timing.aest[lhs], timing.alst[lhs]);
Time rhsSlack = slackOrZero(timing.aest[rhs], timing.alst[rhs]);
if (lhsSlack != rhsSlack)
return lhsSlack < rhsSlack;
if (timing.aest[lhs] != timing.aest[rhs])
return timing.aest[lhs] < timing.aest[rhs];
return lhs < rhs;
});
selected.resize(std::min(windowSize, selected.size()));
return selected;
}
std::vector<size_t> getOriginalSignature(const VirtualGraph& graph, llvm::ArrayRef<size_t> selectedNodes) {
std::vector<size_t> signature;
for (size_t nodeIndex : selectedNodes) {
const VirtualNode& node = graph.nodes[nodeIndex];
signature.insert(signature.end(), node.originalComputeIndices.begin(), node.originalComputeIndices.end());
}
std::sort(signature.begin(), signature.end());
return signature;
}
std::vector<IndexedEdge> buildWindowEdges(const VirtualGraph& graph, const std::vector<int64_t>& nodeToWindowIndex) {
std::vector<IndexedEdge> windowEdges;
windowEdges.reserve(graph.edges.size());
for (auto [start, end, weight] : graph.edges) {
int64_t mappedStart = nodeToWindowIndex[static_cast<size_t>(start)];
int64_t mappedEnd = nodeToWindowIndex[static_cast<size_t>(end)];
if (mappedStart == -1 || mappedEnd == -1)
continue;
windowEdges.push_back({mappedStart, mappedEnd, weight});
}
return aggregateEdges(windowEdges);
}
WindowScheduleResult
scheduleWindow(const VirtualGraph& graph, llvm::ArrayRef<size_t> selectedNodes, MLIRContext* context) {
std::vector<Weight> windowWeights;
std::vector<CrossbarUsage> windowCrossbarUsage;
std::vector<int64_t> nodeToWindowIndex(graph.nodes.size(), -1);
windowWeights.reserve(selectedNodes.size());
windowCrossbarUsage.reserve(selectedNodes.size());
for (auto [windowIndex, nodeIndex] : llvm::enumerate(selectedNodes)) {
nodeToWindowIndex[nodeIndex] = static_cast<int64_t>(windowIndex);
windowWeights.push_back(graph.nodes[nodeIndex].weight);
windowCrossbarUsage.push_back(graph.nodes[nodeIndex].crossbarUsage);
}
GraphDCP windowGraph(windowWeights, buildWindowEdges(graph, nodeToWindowIndex), windowCrossbarUsage);
if (coresCount.getValue() > 0)
windowGraph.setMaxCpuCount(static_cast<int>(coresCount.getValue()));
windowGraph.setContext(context);
windowGraph.runDcp();
WindowScheduleResult result;
result.usedAllAvailableCpus = windowGraph.cpuCount() >= windowGraph.getMaxCpuCount();
for (CPU cpu = 0; cpu < windowGraph.cpuCount(); ++cpu) {
auto scheduledTasks = windowGraph.getScheduledTasks(cpu);
if (scheduledTasks.size() < 2)
continue;
std::vector<size_t> mergeGroup;
mergeGroup.reserve(scheduledTasks.size());
for (const auto& task : scheduledTasks)
mergeGroup.push_back(selectedNodes[task.nodeIndex]);
std::sort(mergeGroup.begin(), mergeGroup.end());
result.mergeGroups.push_back(std::move(mergeGroup));
}
return result;
}
bool coarsenGraph(const VirtualGraph& graph,
llvm::ArrayRef<std::vector<size_t>> mergeGroups,
VirtualGraph& coarsenedGraph) {
std::vector<int64_t> nodeToMergeGroup(graph.nodes.size(), -1);
for (auto [groupIndex, mergeGroup] : llvm::enumerate(mergeGroups)) {
if (mergeGroup.size() < 2)
continue;
for (size_t nodeIndex : mergeGroup) {
assert(nodeIndex < graph.nodes.size() && "merge group node out of range");
nodeToMergeGroup[nodeIndex] = static_cast<int64_t>(groupIndex);
}
}
std::vector<std::optional<size_t>> mergeGroupToNewNode(mergeGroups.size());
std::vector<size_t> oldToNewNode(graph.nodes.size(), 0);
bool mergedAny = false;
coarsenedGraph.nodes.clear();
coarsenedGraph.edges.clear();
coarsenedGraph.nodes.reserve(graph.nodes.size());
for (size_t nodeIndex = 0; nodeIndex < graph.nodes.size(); ++nodeIndex) {
int64_t mergeGroupIndex = nodeToMergeGroup[nodeIndex];
if (mergeGroupIndex == -1) {
oldToNewNode[nodeIndex] = coarsenedGraph.nodes.size();
coarsenedGraph.nodes.push_back(graph.nodes[nodeIndex]);
continue;
}
auto& newNodeIndex = mergeGroupToNewNode[static_cast<size_t>(mergeGroupIndex)];
if (newNodeIndex.has_value()) {
oldToNewNode[nodeIndex] = *newNodeIndex;
continue;
}
VirtualNode mergedNode;
for (size_t memberIndex : mergeGroups[static_cast<size_t>(mergeGroupIndex)]) {
const VirtualNode& memberNode = graph.nodes[memberIndex];
mergedNode.originalComputeIndices.append(memberNode.originalComputeIndices.begin(),
memberNode.originalComputeIndices.end());
mergedNode.weight = addOrMax(mergedNode.weight, memberNode.weight);
mergedNode.crossbarUsage = addOrMax(mergedNode.crossbarUsage, memberNode.crossbarUsage);
}
std::sort(mergedNode.originalComputeIndices.begin(), mergedNode.originalComputeIndices.end());
mergedAny = true;
newNodeIndex = coarsenedGraph.nodes.size();
for (size_t memberIndex : mergeGroups[static_cast<size_t>(mergeGroupIndex)])
oldToNewNode[memberIndex] = *newNodeIndex;
coarsenedGraph.nodes.push_back(std::move(mergedNode));
}
if (!mergedAny)
return false;
std::vector<IndexedEdge> remappedEdges;
remappedEdges.reserve(graph.edges.size());
for (auto [start, end, weight] : graph.edges) {
size_t newStart = oldToNewNode[static_cast<size_t>(start)];
size_t newEnd = oldToNewNode[static_cast<size_t>(end)];
if (newStart == newEnd)
continue;
remappedEdges.push_back({static_cast<int64_t>(newStart), static_cast<int64_t>(newEnd), weight});
}
coarsenedGraph.edges = aggregateEdges(remappedEdges);
return computeTiming(coarsenedGraph).valid;
}
bool coarsenGraphWithFallback(const VirtualGraph& graph,
llvm::ArrayRef<std::vector<size_t>> mergeGroups,
VirtualGraph& coarsenedGraph) {
if (coarsenGraph(graph, mergeGroups, coarsenedGraph))
return true;
std::vector<size_t> orderedGroupIndices(mergeGroups.size());
std::iota(orderedGroupIndices.begin(), orderedGroupIndices.end(), 0);
std::stable_sort(orderedGroupIndices.begin(), orderedGroupIndices.end(), [&](size_t lhs, size_t rhs) {
return mergeGroups[lhs].size() > mergeGroups[rhs].size();
});
std::vector<std::vector<size_t>> acceptedMergeGroups;
acceptedMergeGroups.reserve(mergeGroups.size());
for (size_t groupIndex : orderedGroupIndices) {
std::vector<std::vector<size_t>> candidateMergeGroups = acceptedMergeGroups;
candidateMergeGroups.push_back(mergeGroups[groupIndex]);
VirtualGraph candidateGraph;
if (!coarsenGraph(graph, candidateMergeGroups, candidateGraph))
continue;
acceptedMergeGroups = std::move(candidateMergeGroups);
coarsenedGraph = std::move(candidateGraph);
}
return !acceptedMergeGroups.empty();
}
std::vector<size_t> computeOriginalTopologicalOrder(size_t computeCount, llvm::ArrayRef<IndexedEdge> edges) {
VirtualGraph graph;
graph.nodes.resize(computeCount);
graph.edges = aggregateEdges(edges);
TimingInfo timing = computeTiming(graph);
if (timing.valid)
return timing.topologicalOrder;
std::vector<size_t> fallbackOrder(computeCount);
std::iota(fallbackOrder.begin(), fallbackOrder.end(), 0);
return fallbackOrder;
}
DCPAnalysisResult buildResultFromVirtualGraph(const VirtualGraph& graph,
llvm::ArrayRef<SpatWeightedCompute> spatWeightedComputes,
llvm::ArrayRef<IndexedEdge> originalEdges) {
DCPAnalysisResult result;
std::vector<size_t> originalToVirtualNode(spatWeightedComputes.size(), 0);
for (auto [virtualNodeIndex, virtualNode] : llvm::enumerate(graph.nodes))
for (size_t originalIndex : virtualNode.originalComputeIndices)
originalToVirtualNode[originalIndex] = virtualNodeIndex;
auto dominanceOrder = computeOriginalTopologicalOrder(spatWeightedComputes.size(), originalEdges);
result.dominanceOrderCompute.reserve(dominanceOrder.size());
for (size_t originalIndex : dominanceOrder) {
SpatWeightedCompute spatWeightedCompute = spatWeightedComputes[originalIndex];
size_t cpu = originalToVirtualNode[originalIndex];
result.dominanceOrderCompute.push_back(spatWeightedCompute);
result.computeToCpuMap[spatWeightedCompute] = cpu;
result.cpuToLastComputeMap[cpu] = spatWeightedCompute;
}
for (auto [cpu, lastCompute] : result.cpuToLastComputeMap)
result.isLastComputeOfCpu.insert(lastCompute);
return result;
}
DCPAnalysisResult runLegacyDcp(llvm::ArrayRef<SpatWeightedCompute> spatWeightedComputes,
llvm::ArrayRef<IndexedEdge> edges,
MLIRContext* context) {
GraphDCP graphDCP(spatWeightedComputes, edges);
if (coresCount.getValue() > 0)
graphDCP.setMaxCpuCount(static_cast<int>(coresCount.getValue()));
graphDCP.setContext(context);
graphDCP.runDcp();
return graphDCP.getResult();
}
} // namespace
SpatWeightedCompute getOriginalSpatWeightedCompute(Operation* op) { SpatWeightedCompute getOriginalSpatWeightedCompute(Operation* op) {
if (!op) if (!op)
return {}; return {};
@@ -31,8 +394,8 @@ SpatWeightedCompute getOriginalSpatWeightedCompute(Operation* op) {
} }
DCPAnalysisResult DCPAnalysis::run() { DCPAnalysisResult DCPAnalysis::run() {
llvm::SmallVector<SpatWeightedCompute, 10> spatWeightedComputes; SmallVector<SpatWeightedCompute, 10> spatWeightedComputes;
llvm::SmallVector<IndexedEdge, 10> edges; SmallVector<IndexedEdge, 10> edges;
for (auto& region : entryOp->getRegions()) for (auto& region : entryOp->getRegions())
for (SpatWeightedCompute spatWeightedCompute : region.getOps<SpatWeightedCompute>()) for (SpatWeightedCompute spatWeightedCompute : region.getOps<SpatWeightedCompute>())
spatWeightedComputes.push_back(spatWeightedCompute); spatWeightedComputes.push_back(spatWeightedCompute);
@@ -53,10 +416,37 @@ DCPAnalysisResult DCPAnalysis::run() {
} }
} }
} }
GraphDCP graphDCP(spatWeightedComputes, edges);
graphDCP.setContext(entryOp->getContext()); if (dcpCriticalWindowSize.getValue() == 0)
graphDCP.runDcp(); return runLegacyDcp(spatWeightedComputes, edges, entryOp->getContext());
return graphDCP.getResult();
VirtualGraph virtualGraph = buildInitialVirtualGraph(spatWeightedComputes, edges);
std::set<std::vector<size_t>> seenCriticalWindows;
while (virtualGraph.nodes.size() > 1) {
TimingInfo timing = computeTiming(virtualGraph);
if (!timing.valid)
break;
auto selectedNodes = selectCriticalWindow(timing, dcpCriticalWindowSize.getValue());
if (selectedNodes.size() < 2)
break;
if (!seenCriticalWindows.insert(getOriginalSignature(virtualGraph, selectedNodes)).second)
break;
WindowScheduleResult windowSchedule = scheduleWindow(virtualGraph, selectedNodes, entryOp->getContext());
if (windowSchedule.mergeGroups.empty())
break;
VirtualGraph coarsenedGraph;
if (!coarsenGraphWithFallback(virtualGraph, windowSchedule.mergeGroups, coarsenedGraph))
break;
virtualGraph = std::move(coarsenedGraph);
if (windowSchedule.usedAllAvailableCpus)
break;
}
return buildResultFromVirtualGraph(virtualGraph, spatWeightedComputes, edges);
} }
} // namespace spatial } // namespace spatial
@@ -6,7 +6,7 @@
// consumer land on different CPUs. // consumer land on different CPUs.
// //
// Output: an assignment of every task to a CPU and an order within that CPU, // Output: an assignment of every task to a CPU and an order within that CPU,
// aiming to minimise the overall critical-path length (DCPL). // aiming to minimize the overall critical-path length (DCPL).
// //
// Every task keeps two timing estimates: // Every task keeps two timing estimates:
// AEST - earliest start time, driven by parent completions + transfers. // AEST - earliest start time, driven by parent completions + transfers.
@@ -16,9 +16,9 @@
// Main loop (runDcp): // Main loop (runDcp):
// 1. Build a topological order and seed AEST/ALST from the unscheduled DAG. // 1. Build a topological order and seed AEST/ALST from the unscheduled DAG.
// 2. While there are ready tasks (all dependency parents scheduled): // 2. While there are ready tasks (all dependency parents scheduled):
// a. Pick the candidate with tightest slack (earliest AEST breaks ties). // a. Pick the candidate with the tightest slack (earliest AEST breaks ties).
// b. selectProcessor() tries every candidate CPU and picks the one that // b. selectProcessor() tries every candidate CPU and picks the one that
// minimises a composite cost (own slot + smallest unscheduled child). // minimizes a composite cost (own slot + the smallest unscheduled child).
// c. Commit the placement and refresh AEST/ALST. // c. Commit the placement and refresh AEST/ALST.
// d. Release any child whose dependency parents are now all scheduled. // d. Release any child whose dependency parents are now all scheduled.
// //
@@ -43,7 +43,6 @@
#include <cassert> #include <cassert>
#include <chrono> #include <chrono>
#include <cstdio> #include <cstdio>
#include <cstdlib>
#include <vector> #include <vector>
#include "DCPAnalysis.hpp" #include "DCPAnalysis.hpp"