Files
verilator/src/V3OrderParallel.cpp
T
Geza Lore d4a18d4dfb Fix unordered data hazards in multi-threaded scheduling (#8133)
The OrderGraph used during V3Order step deliberately omits some variable
accesses from the dependency graph. E.g.: a read of a variable that is
in the reading block's own hybrid sensitivity list emits no edge, nor
does a read ignored due to a force/release, nor an access to a variable
marked 'ignoreSchedWrite' and friends. For serial mode that is fine, the
logic runs one block at a time. In parallel mode two such blocks can run
concurrently, and if one writes what the other reads, that is a data
race at runtime.

These accesses cannot be recovered from the graph edges. They are now
collected from the AST while the OrderGraph is built, and held by the
OrderLogicVertex performing them.

FixDataHazards is reworked around these access lists stored in
OrderLogicVertex, so it is now aware of all variable accesses the logic
makes, including those not encoded by the dependency graph edges. The
previous heuristic of fixing data hazards by merging same-rank MTasks is
removed. Additional edges are inserted instead to prescribe a fixed
ordering of conflicting MTasks. To insert edges without unduly
increasing the critical path, or introducing cycles, new edges are
added such that they preserve topological ordering, and they are
inserted between vertices sorted by critical path length. See algorithm
details in the code.

Also add a data hazard checker under '--debug-partition', reporting every
unordered accessor pair left in the final MTask graph.

This fixes the race demonstrated by t_sched_hybrid_hazard (#7913),
which is no longer expected to fail.

Under ThreadSanitizer over the vltmt tests: 17 failing before, 3 after,
with no regressions. The 3 remaining are different defects.
2026-08-18 08:50:50 +02:00

329 lines
15 KiB
C++

// -*- mode: C++; c-file-style: "cc-mode" -*-
//*************************************************************************
// DESCRIPTION: Verilator: Multi-threaded code partitioning and ordering
//
// Code available from: https://verilator.org
//
//*************************************************************************
//
// This program is free software; you can redistribute it and/or modify it
// under the terms of either the GNU Lesser General Public License Version 3
// or the Perl Artistic License Version 2.0.
// SPDX-FileCopyrightText: 2003-2026 Wilson Snyder
// SPDX-License-Identifier: LGPL-3.0-only OR Artistic-2.0
//
//*************************************************************************
//
// Parallel code ordering
//
//*************************************************************************
#include "V3PchAstNoMT.h" // VL_MT_DISABLED_CODE_UNIT
#include "V3Ast.h"
#include "V3AstUserAllocator.h"
#include "V3Control.h"
#include "V3Error.h"
#include "V3ExecGraph.h"
#include "V3Graph.h"
#include "V3GraphStream.h"
#include "V3OrderCFuncEmitter.h"
#include "V3OrderInternal.h"
#include "V3OrderMTaskGraph.h"
#include <map>
#include <memory>
#include <unordered_map>
#include <vector>
VL_DEFINE_DEBUG_FUNCTIONS;
//######################################################################
// Data hazard checker
// Reports read-write and write-write pairs on the same variable that
// are not ordered in the MTask graph.
static void checkDataHazards(OrderMTaskGraph& mTaskGraph) {
// Expensive, so only with '--debug-partition'
if (!mTaskGraph.slowAsserts()) return;
// Order MTasks by their stable ids, so the report is deterministic
struct MTaskIdLessThan final {
bool operator()(const LogicMTask* ap, const LogicMTask* bp) const { return *ap < *bp; }
};
struct VarInfo final {
bool m_seen = false; // Variable already appended to 'vscps'
// How each MTask accesses the variable, merged over the logic within that MTask
std::map<LogicMTask*, VAccess, MTaskIdLessThan> m_byMTask;
};
// AstVarScope::user1 -> VarInfo instance for the variable (via 'varInfos')
const VNUser1InUse user1InUse;
AstUser1Allocator<AstVarScope, VarInfo> varInfos;
// The variables accessed (in enumerated order, for stability).
std::vector<AstVarScope*> vscps;
// Gather how each MTask accesses each variable
for (V3GraphVertex& vtx : mTaskGraph.vertices()) {
LogicMTask& mtask = static_cast<LogicMTask&>(vtx);
for (const OrderMoveVertex& mVtx : mtask.vertexList()) {
const OrderLogicVertex* const lVtxp = mVtx.logicp();
if (!lVtxp) continue; // A variable vertex, which performs no access itself
for (const OrderLogicVertex::VarAccess& acc : lVtxp->varAccesses()) {
AstVarScope* const vscp = acc.m_vscp;
VarInfo& varInfo = varInfos(vscp);
if (!varInfo.m_seen) {
varInfo.m_seen = true;
vscps.push_back(vscp);
}
const auto pair = varInfo.m_byMTask.emplace(&mtask, acc.m_access);
// Merge the access kinds if this MTask already accessed this variable
if (!pair.second && pair.first->second != acc.m_access) {
pair.first->second = VAccess::READWRITE;
}
}
}
}
// Report every unordered pair of accessors where at least one side writes
AstVarScope* firstHazardp = nullptr; // First variable with a hazard, for the error below
for (AstVarScope* const vscp : vscps) {
const auto& byMTask = varInfos(vscp).m_byMTask;
for (auto aIt = byMTask.begin(); aIt != byMTask.end(); ++aIt) {
for (auto bIt = std::next(aIt); bIt != byMTask.end(); ++bIt) {
// Concurrent reads are not a hazard
if (aIt->second.isReadOnly() && bIt->second.isReadOnly()) continue;
LogicMTask* const ap = aIt->first;
LogicMTask* const bp = bIt->first;
if (mTaskGraph.pathExists(ap, bp, nullptr)) continue;
if (mTaskGraph.pathExists(bp, ap, nullptr)) continue;
// LCOV_EXCL_START
if (!firstHazardp) firstHazardp = vscp;
UINFO(0, "Data hazard: " << vscp->name() << " " << aIt->second.ascii() << " by mt"
<< ap->id() << ", " << bIt->second.ascii() << " by mt"
<< bp->id() << " (unordered)");
// LCOV_EXCL_STOP
}
}
}
// Fail if any hazards were found
if (firstHazardp) firstHazardp->v3fatalSrc("Data hazards found"); // LCOV_EXCL_BR_LINE
}
//######################################################################
// Partitioner implementation
// Partitioner takes the fine-grained OrderMoveGraph from V3Order and collapses
// it into a coarse-grained graph of LogicMTask's, each of which contains of set
// of the logic nodes from the fine-grained graph.
static std::unique_ptr<OrderMTaskGraph> partition(OrderMoveGraph& moveGraph) {
// Build the initial MTask graph. Initially, each MTask just wraps one OrderMoveVertex. We will
// merge MTasks together and eventually each MTask will wrap a large number of OrderMoveVertex
// (and the logic nodes therein).
std::unique_ptr<OrderMTaskGraph> mTaskGraphp = OrderMTaskGraph::build(moveGraph);
mTaskGraphp->hashGraphDebug("initial MTask graph");
// Add edges to eliminate data hazards
OrderMTaskGraph::fixDataHazards(*mTaskGraphp);
mTaskGraphp->hashGraphDebug("MTask graph after fixDataHazards()");
// Merge MTask nodes together, repeatedly, until the critical path budget is reached. Coarsens
// the graph, usually by several orders of magnitude. Some tests disable this for stability,
// it should always be enabled in production.
if (v3Global.opt.threadsCoarsen()) {
const int nThreads = v3Global.opt.threads();
UASSERT(nThreads >= 2, "Should not reach Partitioner when --threads <= 1");
// Set critical path limit to roughly totalGraphCost / nThreads. Actually set it slighly
// lower, by a hardcoded fudge factor. This results in a smaller graph, which helps reduce
// fragmentation when scheduling them. TODO: What does this sentence mean?
const uint64_t fudgeNum = 3;
const uint64_t fudgeDen = 5;
const uint64_t limit = (mTaskGraphp->totalCost() * fudgeNum) / (nThreads * fudgeDen);
UINFO(4, "Partitioner set critical path limit = " << limit);
OrderMTaskGraph::contract(*mTaskGraphp, limit);
mTaskGraphp->hashGraphDebug("MTask graph after contract()");
}
// Remove MTasks that have no logic in them, rerouting the edges
mTaskGraphp->removeEmptyMTasks();
mTaskGraphp->hashGraphDebug("MTask graph after removeEmptyMTasks()");
// Note this is OrderMTaskGraph::removeTransitiveEdges, which maintains graph consistency
mTaskGraphp->removeTransitiveEdges();
mTaskGraphp->hashGraphDebug("MTask graph after removeTransitiveEdges()");
// Check for data hazards the partitioning left unordered
checkDataHazards(*mTaskGraphp);
// Set OrderMoveVertex::userp to indicate the mtask it is part of.
moveGraph.userClearVertices();
for (V3GraphVertex* const vtxp : mTaskGraphp->vertices().unlinkable()) {
LogicMTask* const mtaskp = vtxp->as<LogicMTask>();
OrderMoveVertex::List& vertexList = mtaskp->vertexList();
while (OrderMoveVertex* const mVtxp = vertexList.unlinkFront()) mVtxp->userp(mtaskp);
}
// Return the resulting MTask graph
return mTaskGraphp;
}
//######################################################################
// DpiThreadsVisitor - Finds number of threads used by an ExecMTask
class DpiThreadsVisitor final : public VNVisitorConst {
int m_threads = 1; // Max number of threads used by this mtask
// METHODS
void visit(AstCFunc* nodep) override {
m_threads = std::max(m_threads, V3Control::getHierWorkers(nodep->cname()));
iterateChildrenConst(nodep);
}
void visit(AstNodeCCall* nodep) override { iterateConst(nodep->funcp()); }
void visit(AstNode* nodep) override { iterateChildrenConst(nodep); }
// CONSTRUCTORS
explicit DpiThreadsVisitor(AstCFunc* nodep) { iterateConst(nodep); }
~DpiThreadsVisitor() override = default;
VL_UNCOPYABLE(DpiThreadsVisitor);
public:
// Number of threads occupied by the given MTask
static int apply(const ExecMTask* mTaskp) {
return DpiThreadsVisitor{mTaskp->funcp()}.m_threads;
}
};
//######################################################################
// Entry point
AstNodeStmt* V3Order::createParallel(OrderMoveGraph& moveGraph, const std::string& tag,
bool slow) {
UINFO(2, " Constructing parallel code for '" + tag + "'");
// For nondeterminism debugging
moveGraph.hashGraphDebug("V3Order::createParallel input OrderMoveGraph");
moveGraph.orderGraph().hashGraphDebug("V3Order::createParallel input OrderGraph");
// Partition moveGraph into LogicMTask's. The partitioner will set userp() on each logic
// vertex in the moveGraph to the MTask it belongs to.
const std::unique_ptr<OrderMTaskGraph> mTaskGraphp = partition(moveGraph);
if (dumpGraphLevel() >= 9) moveGraph.dumpDotFilePrefixed(tag + "_ordermv_mtasks");
// Some variable OrderMoveVertices are not assigned to an MTask. Reroute and delete these.
for (V3GraphVertex* const vtxp : moveGraph.vertices().unlinkable()) {
OrderMoveVertex* const mVtxp = vtxp->as<OrderMoveVertex>();
if (!mVtxp->userp()) {
UASSERT_OBJ(!mVtxp->logicp(), mVtxp, "Logic OrderMoveVertex not assigned to mtask");
mVtxp->rerouteEdges(&moveGraph);
VL_DO_DANGLING(mVtxp->unlinkDelete(&moveGraph), mVtxp);
}
}
// Remove all edges from the move graph that cross between MTasks. Add logic to MTask lists.
for (V3GraphVertex& vtx : moveGraph.vertices()) {
OrderMoveVertex* const mVtxp = vtx.as<OrderMoveVertex>();
LogicMTask* const mtaskp = static_cast<LogicMTask*>(mVtxp->userp());
// Add to list in MTask, in MoveGraph order. This should not be necessary, but see #4993.
mtaskp->vertexList().linkBack(mVtxp);
// Remove edges crossing between MTasks
for (V3GraphEdge* const edgep : mVtxp->outEdges().unlinkable()) {
const OrderMoveVertex* const toMVtxp = edgep->top()->as<OrderMoveVertex>();
if (mtaskp != toMVtxp->userp()) VL_DO_DANGLING(edgep->unlinkDelete(), edgep);
}
}
if (dumpGraphLevel() >= 9) moveGraph.dumpDotFilePrefixed(tag + "_ordermv_pruned");
// Create the AstExecGraph node which represents the execution of the MTask graph.
FileLine* const flp = v3Global.rootp()->fileline();
AstScope* const scopep = v3Global.rootp()->topScopep()->scopep();
AstExecGraph* const execGraphp = new AstExecGraph{flp, tag};
V3Graph* const depGraphp = execGraphp->depGraphp();
// Translate the LogicMTask graph into the corresponding ExecMTask graph,
// which will outlive ordering.
std::unordered_map<const LogicMTask*, ExecMTask*> logicMTaskToExecMTask;
OrderMoveGraphSerializer serializer{moveGraph};
V3OrderCFuncEmitter emitter{tag, slow};
// Sort LogicMTask vertices by their serial IDs.
struct MTaskVxIdLessThan final {
bool operator()(const V3GraphVertex* lhsp, const V3GraphVertex* rhsp) const {
return lhsp->as<LogicMTask>()->id() < rhsp->as<LogicMTask>()->id();
}
};
GraphStream<MTaskVxIdLessThan> mtaskStream{mTaskGraphp.get()};
while (const V3GraphVertex* const vtxp = mtaskStream.nextp()) {
const LogicMTask* const cMTaskp = vtxp->as<LogicMTask>();
LogicMTask* const mTaskp = const_cast<LogicMTask*>(cMTaskp);
// The entry and exit vertices only anchor the graph, they hold no logic and
// must not become ExecMTasks.
if (mTaskp == mTaskGraphp->entryp() || mTaskp == mTaskGraphp->exitp()) {
UASSERT_OBJ(mTaskp->vertexList().empty(), mTaskp,
"Entry and exit vertices should have no logic");
continue;
}
// Add initially ready vertices within this MTask to the serializer as seeds,
// and unlink them from the vertex list in the MTask as we go. (The serializer
// uses the list links in the vertex, so must unlink it here.)
while (OrderMoveVertex* const mVtxp = mTaskp->vertexList().unlinkFront()) {
if (mVtxp->inEmpty()) serializer.addSeed(mVtxp);
}
// Emit all logic within the MTask as they become ready
OrderMoveDomScope* prevDomScopep = nullptr;
while (OrderMoveVertex* const mVtxp = serializer.getNext()) {
// We only really care about logic vertices
if (OrderLogicVertex* const logicp = mVtxp->logicp()) {
// Force a new function if the domain or scope changed, for better combining.
OrderMoveDomScope* const domScopep = &mVtxp->domScope();
if (domScopep != prevDomScopep) emitter.forceNewFunction();
prevDomScopep = domScopep;
// Emit the logic under this vertex
emitter.emitLogic(logicp);
}
// Can delete the vertex now
VL_DO_DANGLING(mVtxp->unlinkDelete(&moveGraph), mVtxp);
}
// Create the ExecMTask
ExecMTask* const execMTaskp = new ExecMTask{execGraphp, scopep, emitter.getStmts()};
if (!v3Global.opt.hierBlocks().empty()) {
execMTaskp->threads(DpiThreadsVisitor::apply(execMTaskp));
}
const bool newEntry = logicMTaskToExecMTask.emplace(mTaskp, execMTaskp).second;
UASSERT_OBJ(newEntry, mTaskp, "LogicMTasks should be processed in dependencyorder");
UINFO(3, "Final '" << tag << "' LogicMTask " << mTaskp->id() << " maps to ExecMTask"
<< execMTaskp->id());
// For code analysis purposes, we can pretend the AstExecGraph runs the
// MTasks sequentially, in some topological order that respects edges.
// The order they are created here happens to be just such an order.
AstCCall* const callp = new AstCCall{flp, execMTaskp->funcp()};
callp->dtypeSetVoid();
execGraphp->addStmtsp(callp->makeStmt());
// Add the dependency edges between ExecMTasks
for (const V3GraphEdge& edge : mTaskp->inEdges()) {
const V3GraphVertex* fromVxp = edge.fromp();
const LogicMTask* const fromp = fromVxp->as<const LogicMTask>();
// Skip the entry vertex, which has no ExecMTask
if (fromp == mTaskGraphp->entryp()) continue;
new V3GraphEdge{depGraphp, logicMTaskToExecMTask.at(fromp), execMTaskp, 1};
}
}
// Delete the remaining variable vertices
for (V3GraphVertex* const vtxp : moveGraph.vertices().unlinkable()) {
if (!vtxp->as<OrderMoveVertex>()->logicp()) {
VL_DO_DANGLING(vtxp->unlinkDelete(&moveGraph), vtxp);
}
}
return execGraphp;
}