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MachinePipeliner.cpp
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//===- MachinePipeliner.cpp - Machine Software Pipeliner Pass -------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// An implementation of the Swing Modulo Scheduling (SMS) software pipeliner.
//
// Software pipelining (SWP) is an instruction scheduling technique for loops
// that overlap loop iterations and explioits ILP via a compiler transformation.
//
// Swing Modulo Scheduling is an implementation of software pipelining
// that generates schedules that are near optimal in terms of initiation
// interval, register requirements, and stage count. See the papers:
//
// "Swing Modulo Scheduling: A Lifetime-Sensitive Approach", by J. Llosa,
// A. Gonzalez, E. Ayguade, and M. Valero. In PACT '96 Processings of the 1996
// Conference on Parallel Architectures and Compilation Techiniques.
//
// "Lifetime-Sensitive Modulo Scheduling in a Production Environment", by J.
// Llosa, E. Ayguade, A. Gonzalez, M. Valero, and J. Eckhardt. In IEEE
// Transactions on Computers, Vol. 50, No. 3, 2001.
//
// "An Implementation of Swing Modulo Scheduling With Extensions for
// Superblocks", by T. Lattner, Master's Thesis, University of Illinois at
// Urbana-Chambpain, 2005.
//
//
// The SMS algorithm consists of three main steps after computing the minimal
// initiation interval (MII).
// 1) Analyze the dependence graph and compute information about each
// instruction in the graph.
// 2) Order the nodes (instructions) by priority based upon the heuristics
// described in the algorithm.
// 3) Attempt to schedule the nodes in the specified order using the MII.
//
// This SMS implementation is a target-independent back-end pass. When enabled,
// the pass runs just prior to the register allocation pass, while the machine
// IR is in SSA form. If software pipelining is successful, then the original
// loop is replaced by the optimized loop. The optimized loop contains one or
// more prolog blocks, the pipelined kernel, and one or more epilog blocks. If
// the instructions cannot be scheduled in a given MII, we increase the MII by
// one and try again.
//
// The SMS implementation is an extension of the ScheduleDAGInstrs class. We
// represent loop carried dependences in the DAG as order edges to the Phi
// nodes. We also perform several passes over the DAG to eliminate unnecessary
// edges that inhibit the ability to pipeline. The implementation uses the
// DFAPacketizer class to compute the minimum initiation interval and the check
// where an instruction may be inserted in the pipelined schedule.
//
// In order for the SMS pass to work, several target specific hooks need to be
// implemented to get information about the loop structure and to rewrite
// instructions.
//
//===----------------------------------------------------------------------===//
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/BitVector.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/MapVector.h"
#include "llvm/ADT/PriorityQueue.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/Statistic.h"
#include "llvm/ADT/iterator_range.h"
#include "llvm/Analysis/AliasAnalysis.h"
#include "llvm/Analysis/MemoryLocation.h"
#include "llvm/Analysis/ValueTracking.h"
#include "llvm/CodeGen/DFAPacketizer.h"
#include "llvm/CodeGen/LiveIntervalAnalysis.h"
#include "llvm/CodeGen/MachineBasicBlock.h"
#include "llvm/CodeGen/MachineDominators.h"
#include "llvm/CodeGen/MachineFunction.h"
#include "llvm/CodeGen/MachineFunctionPass.h"
#include "llvm/CodeGen/MachineInstr.h"
#include "llvm/CodeGen/MachineInstrBuilder.h"
#include "llvm/CodeGen/MachineLoopInfo.h"
#include "llvm/CodeGen/MachineMemOperand.h"
#include "llvm/CodeGen/MachineOperand.h"
#include "llvm/CodeGen/MachineRegisterInfo.h"
#include "llvm/CodeGen/RegisterClassInfo.h"
#include "llvm/CodeGen/RegisterPressure.h"
#include "llvm/CodeGen/ScheduleDAG.h"
#include "llvm/CodeGen/ScheduleDAGInstrs.h"
#include "llvm/CodeGen/ScheduleDAGMutation.h"
#include "llvm/CodeGen/TargetInstrInfo.h"
#include "llvm/CodeGen/TargetOpcodes.h"
#include "llvm/CodeGen/TargetRegisterInfo.h"
#include "llvm/CodeGen/TargetSubtargetInfo.h"
#include "llvm/IR/Attributes.h"
#include "llvm/IR/DebugLoc.h"
#include "llvm/IR/Function.h"
#include "llvm/MC/LaneBitmask.h"
#include "llvm/MC/MCInstrDesc.h"
#include "llvm/MC/MCInstrItineraries.h"
#include "llvm/MC/MCRegisterInfo.h"
#include "llvm/Pass.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Compiler.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/MathExtras.h"
#include "llvm/Support/raw_ostream.h"
#include <algorithm>
#include <cassert>
#include <climits>
#include <cstdint>
#include <deque>
#include <functional>
#include <iterator>
#include <map>
#include <memory>
#include <tuple>
#include <utility>
#include <vector>
using namespace llvm;
#define DEBUG_TYPE "pipeliner"
STATISTIC(NumTrytoPipeline, "Number of loops that we attempt to pipeline");
STATISTIC(NumPipelined, "Number of loops software pipelined");
/// A command line option to turn software pipelining on or off.
static cl::opt<bool> EnableSWP("enable-pipeliner", cl::Hidden, cl::init(true),
cl::ZeroOrMore,
cl::desc("Enable Software Pipelining"));
/// A command line option to enable SWP at -Os.
static cl::opt<bool> EnableSWPOptSize("enable-pipeliner-opt-size",
cl::desc("Enable SWP at Os."), cl::Hidden,
cl::init(false));
/// A command line argument to limit minimum initial interval for pipelining.
static cl::opt<int> SwpMaxMii("pipeliner-max-mii",
cl::desc("Size limit for the the MII."),
cl::Hidden, cl::init(27));
/// A command line argument to limit the number of stages in the pipeline.
static cl::opt<int>
SwpMaxStages("pipeliner-max-stages",
cl::desc("Maximum stages allowed in the generated scheduled."),
cl::Hidden, cl::init(3));
/// A command line option to disable the pruning of chain dependences due to
/// an unrelated Phi.
static cl::opt<bool>
SwpPruneDeps("pipeliner-prune-deps",
cl::desc("Prune dependences between unrelated Phi nodes."),
cl::Hidden, cl::init(true));
/// A command line option to disable the pruning of loop carried order
/// dependences.
static cl::opt<bool>
SwpPruneLoopCarried("pipeliner-prune-loop-carried",
cl::desc("Prune loop carried order dependences."),
cl::Hidden, cl::init(true));
#ifndef NDEBUG
static cl::opt<int> SwpLoopLimit("pipeliner-max", cl::Hidden, cl::init(-1));
#endif
static cl::opt<bool> SwpIgnoreRecMII("pipeliner-ignore-recmii",
cl::ReallyHidden, cl::init(false),
cl::ZeroOrMore, cl::desc("Ignore RecMII"));
namespace {
class NodeSet;
class SMSchedule;
/// The main class in the implementation of the target independent
/// software pipeliner pass.
class MachinePipeliner : public MachineFunctionPass {
public:
MachineFunction *MF = nullptr;
const MachineLoopInfo *MLI = nullptr;
const MachineDominatorTree *MDT = nullptr;
const InstrItineraryData *InstrItins;
const TargetInstrInfo *TII = nullptr;
RegisterClassInfo RegClassInfo;
#ifndef NDEBUG
static int NumTries;
#endif
/// Cache the target analysis information about the loop.
struct LoopInfo {
MachineBasicBlock *TBB = nullptr;
MachineBasicBlock *FBB = nullptr;
SmallVector<MachineOperand, 4> BrCond;
MachineInstr *LoopInductionVar = nullptr;
MachineInstr *LoopCompare = nullptr;
};
LoopInfo LI;
static char ID;
MachinePipeliner() : MachineFunctionPass(ID) {
initializeMachinePipelinerPass(*PassRegistry::getPassRegistry());
}
bool runOnMachineFunction(MachineFunction &MF) override;
void getAnalysisUsage(AnalysisUsage &AU) const override {
AU.addRequired<AAResultsWrapperPass>();
AU.addPreserved<AAResultsWrapperPass>();
AU.addRequired<MachineLoopInfo>();
AU.addRequired<MachineDominatorTree>();
AU.addRequired<LiveIntervals>();
MachineFunctionPass::getAnalysisUsage(AU);
}
private:
bool canPipelineLoop(MachineLoop &L);
bool scheduleLoop(MachineLoop &L);
bool swingModuloScheduler(MachineLoop &L);
};
/// This class builds the dependence graph for the instructions in a loop,
/// and attempts to schedule the instructions using the SMS algorithm.
class SwingSchedulerDAG : public ScheduleDAGInstrs {
MachinePipeliner &Pass;
/// The minimum initiation interval between iterations for this schedule.
unsigned MII = 0;
/// Set to true if a valid pipelined schedule is found for the loop.
bool Scheduled = false;
MachineLoop &Loop;
LiveIntervals &LIS;
const RegisterClassInfo &RegClassInfo;
/// A toplogical ordering of the SUnits, which is needed for changing
/// dependences and iterating over the SUnits.
ScheduleDAGTopologicalSort Topo;
struct NodeInfo {
int ASAP = 0;
int ALAP = 0;
NodeInfo() = default;
};
/// Computed properties for each node in the graph.
std::vector<NodeInfo> ScheduleInfo;
enum OrderKind { BottomUp = 0, TopDown = 1 };
/// Computed node ordering for scheduling.
SetVector<SUnit *> NodeOrder;
using NodeSetType = SmallVector<NodeSet, 8>;
using ValueMapTy = DenseMap<unsigned, unsigned>;
using MBBVectorTy = SmallVectorImpl<MachineBasicBlock *>;
using InstrMapTy = DenseMap<MachineInstr *, MachineInstr *>;
/// Instructions to change when emitting the final schedule.
DenseMap<SUnit *, std::pair<unsigned, int64_t>> InstrChanges;
/// We may create a new instruction, so remember it because it
/// must be deleted when the pass is finished.
SmallPtrSet<MachineInstr *, 4> NewMIs;
/// Ordered list of DAG postprocessing steps.
std::vector<std::unique_ptr<ScheduleDAGMutation>> Mutations;
/// Helper class to implement Johnson's circuit finding algorithm.
class Circuits {
std::vector<SUnit> &SUnits;
SetVector<SUnit *> Stack;
BitVector Blocked;
SmallVector<SmallPtrSet<SUnit *, 4>, 10> B;
SmallVector<SmallVector<int, 4>, 16> AdjK;
unsigned NumPaths;
static unsigned MaxPaths;
public:
Circuits(std::vector<SUnit> &SUs)
: SUnits(SUs), Blocked(SUs.size()), B(SUs.size()), AdjK(SUs.size()) {}
/// Reset the data structures used in the circuit algorithm.
void reset() {
Stack.clear();
Blocked.reset();
B.assign(SUnits.size(), SmallPtrSet<SUnit *, 4>());
NumPaths = 0;
}
void createAdjacencyStructure(SwingSchedulerDAG *DAG);
bool circuit(int V, int S, NodeSetType &NodeSets, bool HasBackedge = false);
void unblock(int U);
};
public:
SwingSchedulerDAG(MachinePipeliner &P, MachineLoop &L, LiveIntervals &lis,
const RegisterClassInfo &rci)
: ScheduleDAGInstrs(*P.MF, P.MLI, false), Pass(P), Loop(L), LIS(lis),
RegClassInfo(rci), Topo(SUnits, &ExitSU) {
P.MF->getSubtarget().getSMSMutations(Mutations);
}
void schedule() override;
void finishBlock() override;
/// Return true if the loop kernel has been scheduled.
bool hasNewSchedule() { return Scheduled; }
/// Return the earliest time an instruction may be scheduled.
int getASAP(SUnit *Node) { return ScheduleInfo[Node->NodeNum].ASAP; }
/// Return the latest time an instruction my be scheduled.
int getALAP(SUnit *Node) { return ScheduleInfo[Node->NodeNum].ALAP; }
/// The mobility function, which the the number of slots in which
/// an instruction may be scheduled.
int getMOV(SUnit *Node) { return getALAP(Node) - getASAP(Node); }
/// The depth, in the dependence graph, for a node.
int getDepth(SUnit *Node) { return Node->getDepth(); }
/// The height, in the dependence graph, for a node.
int getHeight(SUnit *Node) { return Node->getHeight(); }
/// Return true if the dependence is a back-edge in the data dependence graph.
/// Since the DAG doesn't contain cycles, we represent a cycle in the graph
/// using an anti dependence from a Phi to an instruction.
bool isBackedge(SUnit *Source, const SDep &Dep) {
if (Dep.getKind() != SDep::Anti)
return false;
return Source->getInstr()->isPHI() || Dep.getSUnit()->getInstr()->isPHI();
}
/// Return true if the dependence is an order dependence between non-Phis.
static bool isOrder(SUnit *Source, const SDep &Dep) {
if (Dep.getKind() != SDep::Order)
return false;
return (!Source->getInstr()->isPHI() &&
!Dep.getSUnit()->getInstr()->isPHI());
}
bool isLoopCarriedOrder(SUnit *Source, const SDep &Dep, bool isSucc = true);
/// The latency of the dependence.
unsigned getLatency(SUnit *Source, const SDep &Dep) {
// Anti dependences represent recurrences, so use the latency of the
// instruction on the back-edge.
if (Dep.getKind() == SDep::Anti) {
if (Source->getInstr()->isPHI())
return Dep.getSUnit()->Latency;
if (Dep.getSUnit()->getInstr()->isPHI())
return Source->Latency;
return Dep.getLatency();
}
return Dep.getLatency();
}
/// The distance function, which indicates that operation V of iteration I
/// depends on operations U of iteration I-distance.
unsigned getDistance(SUnit *U, SUnit *V, const SDep &Dep) {
// Instructions that feed a Phi have a distance of 1. Computing larger
// values for arrays requires data dependence information.
if (V->getInstr()->isPHI() && Dep.getKind() == SDep::Anti)
return 1;
return 0;
}
/// Set the Minimum Initiation Interval for this schedule attempt.
void setMII(unsigned mii) { MII = mii; }
void applyInstrChange(MachineInstr *MI, SMSchedule &Schedule);
void fixupRegisterOverlaps(std::deque<SUnit *> &Instrs);
/// Return the new base register that was stored away for the changed
/// instruction.
unsigned getInstrBaseReg(SUnit *SU) {
DenseMap<SUnit *, std::pair<unsigned, int64_t>>::iterator It =
InstrChanges.find(SU);
if (It != InstrChanges.end())
return It->second.first;
return 0;
}
void addMutation(std::unique_ptr<ScheduleDAGMutation> Mutation) {
Mutations.push_back(std::move(Mutation));
}
private:
void addLoopCarriedDependences(AliasAnalysis *AA);
void updatePhiDependences();
void changeDependences();
unsigned calculateResMII();
unsigned calculateRecMII(NodeSetType &RecNodeSets);
void findCircuits(NodeSetType &NodeSets);
void fuseRecs(NodeSetType &NodeSets);
void removeDuplicateNodes(NodeSetType &NodeSets);
void computeNodeFunctions(NodeSetType &NodeSets);
void registerPressureFilter(NodeSetType &NodeSets);
void colocateNodeSets(NodeSetType &NodeSets);
void checkNodeSets(NodeSetType &NodeSets);
void groupRemainingNodes(NodeSetType &NodeSets);
void addConnectedNodes(SUnit *SU, NodeSet &NewSet,
SetVector<SUnit *> &NodesAdded);
void computeNodeOrder(NodeSetType &NodeSets);
bool schedulePipeline(SMSchedule &Schedule);
void generatePipelinedLoop(SMSchedule &Schedule);
void generateProlog(SMSchedule &Schedule, unsigned LastStage,
MachineBasicBlock *KernelBB, ValueMapTy *VRMap,
MBBVectorTy &PrologBBs);
void generateEpilog(SMSchedule &Schedule, unsigned LastStage,
MachineBasicBlock *KernelBB, ValueMapTy *VRMap,
MBBVectorTy &EpilogBBs, MBBVectorTy &PrologBBs);
void generateExistingPhis(MachineBasicBlock *NewBB, MachineBasicBlock *BB1,
MachineBasicBlock *BB2, MachineBasicBlock *KernelBB,
SMSchedule &Schedule, ValueMapTy *VRMap,
InstrMapTy &InstrMap, unsigned LastStageNum,
unsigned CurStageNum, bool IsLast);
void generatePhis(MachineBasicBlock *NewBB, MachineBasicBlock *BB1,
MachineBasicBlock *BB2, MachineBasicBlock *KernelBB,
SMSchedule &Schedule, ValueMapTy *VRMap,
InstrMapTy &InstrMap, unsigned LastStageNum,
unsigned CurStageNum, bool IsLast);
void removeDeadInstructions(MachineBasicBlock *KernelBB,
MBBVectorTy &EpilogBBs);
void splitLifetimes(MachineBasicBlock *KernelBB, MBBVectorTy &EpilogBBs,
SMSchedule &Schedule);
void addBranches(MBBVectorTy &PrologBBs, MachineBasicBlock *KernelBB,
MBBVectorTy &EpilogBBs, SMSchedule &Schedule,
ValueMapTy *VRMap);
bool computeDelta(MachineInstr &MI, unsigned &Delta);
void updateMemOperands(MachineInstr &NewMI, MachineInstr &OldMI,
unsigned Num);
MachineInstr *cloneInstr(MachineInstr *OldMI, unsigned CurStageNum,
unsigned InstStageNum);
MachineInstr *cloneAndChangeInstr(MachineInstr *OldMI, unsigned CurStageNum,
unsigned InstStageNum,
SMSchedule &Schedule);
void updateInstruction(MachineInstr *NewMI, bool LastDef,
unsigned CurStageNum, unsigned InstStageNum,
SMSchedule &Schedule, ValueMapTy *VRMap);
MachineInstr *findDefInLoop(unsigned Reg);
unsigned getPrevMapVal(unsigned StageNum, unsigned PhiStage, unsigned LoopVal,
unsigned LoopStage, ValueMapTy *VRMap,
MachineBasicBlock *BB);
void rewritePhiValues(MachineBasicBlock *NewBB, unsigned StageNum,
SMSchedule &Schedule, ValueMapTy *VRMap,
InstrMapTy &InstrMap);
void rewriteScheduledInstr(MachineBasicBlock *BB, SMSchedule &Schedule,
InstrMapTy &InstrMap, unsigned CurStageNum,
unsigned PhiNum, MachineInstr *Phi,
unsigned OldReg, unsigned NewReg,
unsigned PrevReg = 0);
bool canUseLastOffsetValue(MachineInstr *MI, unsigned &BasePos,
unsigned &OffsetPos, unsigned &NewBase,
int64_t &NewOffset);
void postprocessDAG();
};
/// A NodeSet contains a set of SUnit DAG nodes with additional information
/// that assigns a priority to the set.
class NodeSet {
SetVector<SUnit *> Nodes;
bool HasRecurrence = false;
unsigned RecMII = 0;
int MaxMOV = 0;
int MaxDepth = 0;
unsigned Colocate = 0;
SUnit *ExceedPressure = nullptr;
public:
using iterator = SetVector<SUnit *>::const_iterator;
NodeSet() = default;
NodeSet(iterator S, iterator E) : Nodes(S, E), HasRecurrence(true) {}
bool insert(SUnit *SU) { return Nodes.insert(SU); }
void insert(iterator S, iterator E) { Nodes.insert(S, E); }
template <typename UnaryPredicate> bool remove_if(UnaryPredicate P) {
return Nodes.remove_if(P);
}
unsigned count(SUnit *SU) const { return Nodes.count(SU); }
bool hasRecurrence() { return HasRecurrence; };
unsigned size() const { return Nodes.size(); }
bool empty() const { return Nodes.empty(); }
SUnit *getNode(unsigned i) const { return Nodes[i]; };
void setRecMII(unsigned mii) { RecMII = mii; };
void setColocate(unsigned c) { Colocate = c; };
void setExceedPressure(SUnit *SU) { ExceedPressure = SU; }
bool isExceedSU(SUnit *SU) { return ExceedPressure == SU; }
int compareRecMII(NodeSet &RHS) { return RecMII - RHS.RecMII; }
int getRecMII() { return RecMII; }
/// Summarize node functions for the entire node set.
void computeNodeSetInfo(SwingSchedulerDAG *SSD) {
for (SUnit *SU : *this) {
MaxMOV = std::max(MaxMOV, SSD->getMOV(SU));
MaxDepth = std::max(MaxDepth, SSD->getDepth(SU));
}
}
void clear() {
Nodes.clear();
RecMII = 0;
HasRecurrence = false;
MaxMOV = 0;
MaxDepth = 0;
Colocate = 0;
ExceedPressure = nullptr;
}
operator SetVector<SUnit *> &() { return Nodes; }
/// Sort the node sets by importance. First, rank them by recurrence MII,
/// then by mobility (least mobile done first), and finally by depth.
/// Each node set may contain a colocate value which is used as the first
/// tie breaker, if it's set.
bool operator>(const NodeSet &RHS) const {
if (RecMII == RHS.RecMII) {
if (Colocate != 0 && RHS.Colocate != 0 && Colocate != RHS.Colocate)
return Colocate < RHS.Colocate;
if (MaxMOV == RHS.MaxMOV)
return MaxDepth > RHS.MaxDepth;
return MaxMOV < RHS.MaxMOV;
}
return RecMII > RHS.RecMII;
}
bool operator==(const NodeSet &RHS) const {
return RecMII == RHS.RecMII && MaxMOV == RHS.MaxMOV &&
MaxDepth == RHS.MaxDepth;
}
bool operator!=(const NodeSet &RHS) const { return !operator==(RHS); }
iterator begin() { return Nodes.begin(); }
iterator end() { return Nodes.end(); }
void print(raw_ostream &os) const {
os << "Num nodes " << size() << " rec " << RecMII << " mov " << MaxMOV
<< " depth " << MaxDepth << " col " << Colocate << "\n";
for (const auto &I : Nodes)
os << " SU(" << I->NodeNum << ") " << *(I->getInstr());
os << "\n";
}
#if !defined(NDEBUG) || defined(LLVM_ENABLE_DUMP)
LLVM_DUMP_METHOD void dump() const { print(dbgs()); }
#endif
};
/// This class repesents the scheduled code. The main data structure is a
/// map from scheduled cycle to instructions. During scheduling, the
/// data structure explicitly represents all stages/iterations. When
/// the algorithm finshes, the schedule is collapsed into a single stage,
/// which represents instructions from different loop iterations.
///
/// The SMS algorithm allows negative values for cycles, so the first cycle
/// in the schedule is the smallest cycle value.
class SMSchedule {
private:
/// Map from execution cycle to instructions.
DenseMap<int, std::deque<SUnit *>> ScheduledInstrs;
/// Map from instruction to execution cycle.
std::map<SUnit *, int> InstrToCycle;
/// Map for each register and the max difference between its uses and def.
/// The first element in the pair is the max difference in stages. The
/// second is true if the register defines a Phi value and loop value is
/// scheduled before the Phi.
std::map<unsigned, std::pair<unsigned, bool>> RegToStageDiff;
/// Keep track of the first cycle value in the schedule. It starts
/// as zero, but the algorithm allows negative values.
int FirstCycle = 0;
/// Keep track of the last cycle value in the schedule.
int LastCycle = 0;
/// The initiation interval (II) for the schedule.
int InitiationInterval = 0;
/// Target machine information.
const TargetSubtargetInfo &ST;
/// Virtual register information.
MachineRegisterInfo &MRI;
std::unique_ptr<DFAPacketizer> Resources;
public:
SMSchedule(MachineFunction *mf)
: ST(mf->getSubtarget()), MRI(mf->getRegInfo()),
Resources(ST.getInstrInfo()->CreateTargetScheduleState(ST)) {}
void reset() {
ScheduledInstrs.clear();
InstrToCycle.clear();
RegToStageDiff.clear();
FirstCycle = 0;
LastCycle = 0;
InitiationInterval = 0;
}
/// Set the initiation interval for this schedule.
void setInitiationInterval(int ii) { InitiationInterval = ii; }
/// Return the first cycle in the completed schedule. This
/// can be a negative value.
int getFirstCycle() const { return FirstCycle; }
/// Return the last cycle in the finalized schedule.
int getFinalCycle() const { return FirstCycle + InitiationInterval - 1; }
/// Return the cycle of the earliest scheduled instruction in the dependence
/// chain.
int earliestCycleInChain(const SDep &Dep);
/// Return the cycle of the latest scheduled instruction in the dependence
/// chain.
int latestCycleInChain(const SDep &Dep);
void computeStart(SUnit *SU, int *MaxEarlyStart, int *MinLateStart,
int *MinEnd, int *MaxStart, int II, SwingSchedulerDAG *DAG);
bool insert(SUnit *SU, int StartCycle, int EndCycle, int II);
/// Iterators for the cycle to instruction map.
using sched_iterator = DenseMap<int, std::deque<SUnit *>>::iterator;
using const_sched_iterator =
DenseMap<int, std::deque<SUnit *>>::const_iterator;
/// Return true if the instruction is scheduled at the specified stage.
bool isScheduledAtStage(SUnit *SU, unsigned StageNum) {
return (stageScheduled(SU) == (int)StageNum);
}
/// Return the stage for a scheduled instruction. Return -1 if
/// the instruction has not been scheduled.
int stageScheduled(SUnit *SU) const {
std::map<SUnit *, int>::const_iterator it = InstrToCycle.find(SU);
if (it == InstrToCycle.end())
return -1;
return (it->second - FirstCycle) / InitiationInterval;
}
/// Return the cycle for a scheduled instruction. This function normalizes
/// the first cycle to be 0.
unsigned cycleScheduled(SUnit *SU) const {
std::map<SUnit *, int>::const_iterator it = InstrToCycle.find(SU);
assert(it != InstrToCycle.end() && "Instruction hasn't been scheduled.");
return (it->second - FirstCycle) % InitiationInterval;
}
/// Return the maximum stage count needed for this schedule.
unsigned getMaxStageCount() {
return (LastCycle - FirstCycle) / InitiationInterval;
}
/// Return the max. number of stages/iterations that can occur between a
/// register definition and its uses.
unsigned getStagesForReg(int Reg, unsigned CurStage) {
std::pair<unsigned, bool> Stages = RegToStageDiff[Reg];
if (CurStage > getMaxStageCount() && Stages.first == 0 && Stages.second)
return 1;
return Stages.first;
}
/// The number of stages for a Phi is a little different than other
/// instructions. The minimum value computed in RegToStageDiff is 1
/// because we assume the Phi is needed for at least 1 iteration.
/// This is not the case if the loop value is scheduled prior to the
/// Phi in the same stage. This function returns the number of stages
/// or iterations needed between the Phi definition and any uses.
unsigned getStagesForPhi(int Reg) {
std::pair<unsigned, bool> Stages = RegToStageDiff[Reg];
if (Stages.second)
return Stages.first;
return Stages.first - 1;
}
/// Return the instructions that are scheduled at the specified cycle.
std::deque<SUnit *> &getInstructions(int cycle) {
return ScheduledInstrs[cycle];
}
bool isValidSchedule(SwingSchedulerDAG *SSD);
void finalizeSchedule(SwingSchedulerDAG *SSD);
bool orderDependence(SwingSchedulerDAG *SSD, SUnit *SU,
std::deque<SUnit *> &Insts);
bool isLoopCarried(SwingSchedulerDAG *SSD, MachineInstr &Phi);
bool isLoopCarriedDefOfUse(SwingSchedulerDAG *SSD, MachineInstr *Inst,
MachineOperand &MO);
void print(raw_ostream &os) const;
void dump() const;
};
} // end anonymous namespace
unsigned SwingSchedulerDAG::Circuits::MaxPaths = 5;
char MachinePipeliner::ID = 0;
#ifndef NDEBUG
int MachinePipeliner::NumTries = 0;
#endif
char &llvm::MachinePipelinerID = MachinePipeliner::ID;
INITIALIZE_PASS_BEGIN(MachinePipeliner, DEBUG_TYPE,
"Modulo Software Pipelining", false, false)
INITIALIZE_PASS_DEPENDENCY(AAResultsWrapperPass)
INITIALIZE_PASS_DEPENDENCY(MachineLoopInfo)
INITIALIZE_PASS_DEPENDENCY(MachineDominatorTree)
INITIALIZE_PASS_DEPENDENCY(LiveIntervals)
INITIALIZE_PASS_END(MachinePipeliner, DEBUG_TYPE,
"Modulo Software Pipelining", false, false)
/// The "main" function for implementing Swing Modulo Scheduling.
bool MachinePipeliner::runOnMachineFunction(MachineFunction &mf) {
if (skipFunction(*mf.getFunction()))
return false;
if (!EnableSWP)
return false;
if (mf.getFunction()->getAttributes().hasAttribute(
AttributeList::FunctionIndex, Attribute::OptimizeForSize) &&
!EnableSWPOptSize.getPosition())
return false;
MF = &mf;
MLI = &getAnalysis<MachineLoopInfo>();
MDT = &getAnalysis<MachineDominatorTree>();
TII = MF->getSubtarget().getInstrInfo();
RegClassInfo.runOnMachineFunction(*MF);
for (auto &L : *MLI)
scheduleLoop(*L);
return false;
}
/// Attempt to perform the SMS algorithm on the specified loop. This function is
/// the main entry point for the algorithm. The function identifies candidate
/// loops, calculates the minimum initiation interval, and attempts to schedule
/// the loop.
bool MachinePipeliner::scheduleLoop(MachineLoop &L) {
bool Changed = false;
for (auto &InnerLoop : L)
Changed |= scheduleLoop(*InnerLoop);
#ifndef NDEBUG
// Stop trying after reaching the limit (if any).
int Limit = SwpLoopLimit;
if (Limit >= 0) {
if (NumTries >= SwpLoopLimit)
return Changed;
NumTries++;
}
#endif
if (!canPipelineLoop(L))
return Changed;
++NumTrytoPipeline;
Changed = swingModuloScheduler(L);
return Changed;
}
/// Return true if the loop can be software pipelined. The algorithm is
/// restricted to loops with a single basic block. Make sure that the
/// branch in the loop can be analyzed.
bool MachinePipeliner::canPipelineLoop(MachineLoop &L) {
if (L.getNumBlocks() != 1)
return false;
// Check if the branch can't be understood because we can't do pipelining
// if that's the case.
LI.TBB = nullptr;
LI.FBB = nullptr;
LI.BrCond.clear();
if (TII->analyzeBranch(*L.getHeader(), LI.TBB, LI.FBB, LI.BrCond))
return false;
LI.LoopInductionVar = nullptr;
LI.LoopCompare = nullptr;
if (TII->analyzeLoop(L, LI.LoopInductionVar, LI.LoopCompare))
return false;
if (!L.getLoopPreheader())
return false;
// If any of the Phis contain subregs, then we can't pipeline
// because we don't know how to maintain subreg information in the
// VMap structure.
MachineBasicBlock *MBB = L.getHeader();
for (MachineBasicBlock::iterator BBI = MBB->instr_begin(),
BBE = MBB->getFirstNonPHI();
BBI != BBE; ++BBI)
for (unsigned i = 1; i != BBI->getNumOperands(); i += 2)
if (BBI->getOperand(i).getSubReg() != 0)
return false;
return true;
}
/// The SMS algorithm consists of the following main steps:
/// 1. Computation and analysis of the dependence graph.
/// 2. Ordering of the nodes (instructions).
/// 3. Attempt to Schedule the loop.
bool MachinePipeliner::swingModuloScheduler(MachineLoop &L) {
assert(L.getBlocks().size() == 1 && "SMS works on single blocks only.");
SwingSchedulerDAG SMS(*this, L, getAnalysis<LiveIntervals>(), RegClassInfo);
MachineBasicBlock *MBB = L.getHeader();
// The kernel should not include any terminator instructions. These
// will be added back later.
SMS.startBlock(MBB);
// Compute the number of 'real' instructions in the basic block by
// ignoring terminators.
unsigned size = MBB->size();
for (MachineBasicBlock::iterator I = MBB->getFirstTerminator(),
E = MBB->instr_end();
I != E; ++I, --size)
;
SMS.enterRegion(MBB, MBB->begin(), MBB->getFirstTerminator(), size);
SMS.schedule();
SMS.exitRegion();
SMS.finishBlock();
return SMS.hasNewSchedule();
}
/// We override the schedule function in ScheduleDAGInstrs to implement the
/// scheduling part of the Swing Modulo Scheduling algorithm.
void SwingSchedulerDAG::schedule() {
AliasAnalysis *AA = &Pass.getAnalysis<AAResultsWrapperPass>().getAAResults();
buildSchedGraph(AA);
addLoopCarriedDependences(AA);
updatePhiDependences();
Topo.InitDAGTopologicalSorting();
postprocessDAG();
changeDependences();
DEBUG({
for (unsigned su = 0, e = SUnits.size(); su != e; ++su)
SUnits[su].dumpAll(this);
});
NodeSetType NodeSets;
findCircuits(NodeSets);
// Calculate the MII.
unsigned ResMII = calculateResMII();
unsigned RecMII = calculateRecMII(NodeSets);
fuseRecs(NodeSets);
// This flag is used for testing and can cause correctness problems.
if (SwpIgnoreRecMII)
RecMII = 0;
MII = std::max(ResMII, RecMII);
DEBUG(dbgs() << "MII = " << MII << " (rec=" << RecMII << ", res=" << ResMII
<< ")\n");
// Can't schedule a loop without a valid MII.
if (MII == 0)
return;
// Don't pipeline large loops.
if (SwpMaxMii != -1 && (int)MII > SwpMaxMii)
return;
computeNodeFunctions(NodeSets);
registerPressureFilter(NodeSets);
colocateNodeSets(NodeSets);
checkNodeSets(NodeSets);
DEBUG({
for (auto &I : NodeSets) {
dbgs() << " Rec NodeSet ";
I.dump();
}
});
std::sort(NodeSets.begin(), NodeSets.end(), std::greater<NodeSet>());
groupRemainingNodes(NodeSets);
removeDuplicateNodes(NodeSets);
DEBUG({
for (auto &I : NodeSets) {
dbgs() << " NodeSet ";
I.dump();
}
});
computeNodeOrder(NodeSets);
SMSchedule Schedule(Pass.MF);
Scheduled = schedulePipeline(Schedule);
if (!Scheduled)
return;
unsigned numStages = Schedule.getMaxStageCount();
// No need to generate pipeline if there are no overlapped iterations.
if (numStages == 0)
return;
// Check that the maximum stage count is less than user-defined limit.
if (SwpMaxStages > -1 && (int)numStages > SwpMaxStages)
return;
generatePipelinedLoop(Schedule);
++NumPipelined;
}
/// Clean up after the software pipeliner runs.
void SwingSchedulerDAG::finishBlock() {
for (MachineInstr *I : NewMIs)
MF.DeleteMachineInstr(I);
NewMIs.clear();
// Call the superclass.
ScheduleDAGInstrs::finishBlock();
}
/// Return the register values for the operands of a Phi instruction.
/// This function assume the instruction is a Phi.
static void getPhiRegs(MachineInstr &Phi, MachineBasicBlock *Loop,
unsigned &InitVal, unsigned &LoopVal) {
assert(Phi.isPHI() && "Expecting a Phi.");
InitVal = 0;
LoopVal = 0;
for (unsigned i = 1, e = Phi.getNumOperands(); i != e; i += 2)
if (Phi.getOperand(i + 1).getMBB() != Loop)
InitVal = Phi.getOperand(i).getReg();
else
LoopVal = Phi.getOperand(i).getReg();
assert(InitVal != 0 && LoopVal != 0 && "Unexpected Phi structure.");
}
/// Return the Phi register value that comes from the incoming block.
static unsigned getInitPhiReg(MachineInstr &Phi, MachineBasicBlock *LoopBB) {
for (unsigned i = 1, e = Phi.getNumOperands(); i != e; i += 2)
if (Phi.getOperand(i + 1).getMBB() != LoopBB)
return Phi.getOperand(i).getReg();
return 0;
}
/// Return the Phi register value that comes the the loop block.
static unsigned getLoopPhiReg(MachineInstr &Phi, MachineBasicBlock *LoopBB) {
for (unsigned i = 1, e = Phi.getNumOperands(); i != e; i += 2)
if (Phi.getOperand(i + 1).getMBB() == LoopBB)
return Phi.getOperand(i).getReg();
return 0;
}
/// Return true if SUb can be reached from SUa following the chain edges.
static bool isSuccOrder(SUnit *SUa, SUnit *SUb) {
SmallPtrSet<SUnit *, 8> Visited;
SmallVector<SUnit *, 8> Worklist;
Worklist.push_back(SUa);
while (!Worklist.empty()) {
const SUnit *SU = Worklist.pop_back_val();
for (auto &SI : SU->Succs) {
SUnit *SuccSU = SI.getSUnit();
if (SI.getKind() == SDep::Order) {
if (Visited.count(SuccSU))
continue;
if (SuccSU == SUb)
return true;
Worklist.push_back(SuccSU);
Visited.insert(SuccSU);
}
}