Missing files for the BlockFrequency analysis added.

llvm-svn: 133767
This commit is contained in:
Jakub Staszak 2011-06-23 21:56:59 +00:00
parent be52acc98a
commit 668c6fae76
3 changed files with 448 additions and 0 deletions

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//========-------- BlockFrequency.h - Block Frequency Analysis -------========//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// Loops should be simplified before this analysis.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_ANALYSIS_BLOCKFREQUENCY_H
#define LLVM_ANALYSIS_BLOCKFREQUENCY_H
#include "llvm/Pass.h"
#include <climits>
namespace llvm {
class BranchProbabilityInfo;
template<class BlockT, class FunctionT, class BranchProbInfoT>
class BlockFrequencyImpl;
/// BlockFrequency pass uses BlockFrequencyImpl implementation to estimate
/// IR basic block frequencies.
class BlockFrequency : public FunctionPass {
BlockFrequencyImpl<BasicBlock, Function, BranchProbabilityInfo> *BFI;
public:
static char ID;
BlockFrequency();
~BlockFrequency();
void getAnalysisUsage(AnalysisUsage &AU) const;
bool runOnFunction(Function &F);
/// getblockFreq - Return block frequency. Never return 0, value must be
/// positive. Please note that initial frequency is equal to 1024. It means
/// that we should not rely on the value itself, but only on the comparison to
/// the other block frequencies. We do this to avoid using of the floating
/// points.
uint32_t getBlockFreq(BasicBlock *BB);
};
}
#endif

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//===---- BlockFrequencyImpl.h - Machine Block Frequency Implementation ---===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// Shared implementation of BlockFrequency for IR and Machine Instructions.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_ANALYSIS_BLOCKFREQUENCYIMPL_H
#define LLVM_ANALYSIS_BLOCKFREQUENCYIMPL_H
#include "llvm/BasicBlock.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/PostOrderIterator.h"
#include "llvm/CodeGen/MachineBasicBlock.h"
#include "llvm/Support/BranchProbability.h"
#include "llvm/Support/Debug.h"
#include <vector>
#include <sstream>
#include <string>
namespace llvm {
class BlockFrequency;
/// BlockFrequencyImpl implements block frequency algorithm for IR and
/// Machine Instructions. Algorithm starts with value 1024 (START_FREQ)
/// for the entry block and then propagates frequencies using branch weights
/// from (Machine)BranchProbabilityInfo. LoopInfo is not required because
/// algorithm can find "backedges" by itself.
template<class BlockT, class FunctionT, class BlockProbInfoT>
class BlockFrequencyImpl {
DenseMap<BlockT *, uint32_t> Freqs;
BlockProbInfoT *BPI;
FunctionT *Fn;
typedef GraphTraits< Inverse<BlockT *> > GT;
static const uint32_t START_FREQ = 1024;
std::string getBlockName(BasicBlock *BB) const {
return BB->getNameStr();
}
std::string getBlockName(MachineBasicBlock *MBB) const {
std::stringstream ss;
ss << "BB#" << MBB->getNumber();
const BasicBlock *BB = MBB->getBasicBlock();
if (BB)
ss << " derived from LLVM BB " << BB->getNameStr();
return ss.str();
}
void setBlockFreq(BlockT *BB, uint32_t Freq) {
Freqs[BB] = Freq;
DEBUG(dbgs() << "Frequency(" << getBlockName(BB) << ") = " << Freq << "\n");
}
/// getEdgeFreq - Return edge frequency based on SRC frequency and Src -> Dst
/// edge probability.
uint32_t getEdgeFreq(BlockT *Src, BlockT *Dst) const {
BranchProbability Prob = BPI->getEdgeProbability(Src, Dst);
uint64_t N = Prob.getNumerator();
uint64_t D = Prob.getDenominator();
uint64_t Res = (N * getBlockFreq(Src)) / D;
assert(Res <= UINT32_MAX);
return (uint32_t) Res;
}
/// incBlockFreq - Increase BB block frequency by FREQ.
///
void incBlockFreq(BlockT *BB, uint32_t Freq) {
Freqs[BB] += Freq;
DEBUG(dbgs() << "Frequency(" << getBlockName(BB) << ") += " << Freq
<< " --> " << Freqs[BB] << "\n");
}
/// divBlockFreq - Divide BB block frequency by PROB. If Prob = 0 do nothing.
///
void divBlockFreq(BlockT *BB, BranchProbability Prob) {
uint64_t N = Prob.getNumerator();
assert(N && "Illegal division by zero!");
uint64_t D = Prob.getDenominator();
uint64_t Freq = (Freqs[BB] * D) / N;
// Should we assert it?
if (Freq > UINT32_MAX)
Freq = UINT32_MAX;
Freqs[BB] = (uint32_t) Freq;
DEBUG(dbgs() << "Frequency(" << getBlockName(BB) << ") /= (" << Prob
<< ") --> " << Freqs[BB] << "\n");
}
// All blocks in postorder.
std::vector<BlockT *> POT;
// Map Block -> Position in reverse-postorder list.
DenseMap<BlockT *, unsigned> RPO;
// Cycle Probability for each bloch.
DenseMap<BlockT *, uint32_t> CycleProb;
// (reverse-)postorder traversal iterators.
typedef typename std::vector<BlockT *>::iterator pot_iterator;
typedef typename std::vector<BlockT *>::reverse_iterator rpot_iterator;
pot_iterator pot_begin() { return POT.begin(); }
pot_iterator pot_end() { return POT.end(); }
rpot_iterator rpot_begin() { return POT.rbegin(); }
rpot_iterator rpot_end() { return POT.rend(); }
rpot_iterator rpot_at(BlockT *BB) {
rpot_iterator I = rpot_begin();
unsigned idx = RPO[BB];
assert(idx);
std::advance(I, idx - 1);
assert(*I == BB);
return I;
}
/// isReachable - Returns if BB block is reachable from the entry.
///
bool isReachable(BlockT *BB) {
return RPO.count(BB);
}
/// isBackedge - Return if edge Src -> Dst is a backedge.
///
bool isBackedge(BlockT *Src, BlockT *Dst) {
assert(isReachable(Src));
assert(isReachable(Dst));
unsigned a = RPO[Src];
unsigned b = RPO[Dst];
return a > b;
}
/// getSingleBlockPred - return single BB block predecessor or NULL if
/// BB has none or more predecessors.
BlockT *getSingleBlockPred(BlockT *BB) {
typename GT::ChildIteratorType
PI = GraphTraits< Inverse<BlockT *> >::child_begin(BB),
PE = GraphTraits< Inverse<BlockT *> >::child_end(BB);
if (PI == PE)
return 0;
BlockT *Pred = *PI;
++PI;
if (PI != PE)
return 0;
return Pred;
}
void doBlock(BlockT *BB, BlockT *LoopHead,
SmallPtrSet<BlockT *, 8> &BlocksInLoop) {
DEBUG(dbgs() << "doBlock(" << getBlockName(BB) << ")\n");
setBlockFreq(BB, 0);
if (BB == LoopHead) {
setBlockFreq(BB, START_FREQ);
return;
}
if(BlockT *Pred = getSingleBlockPred(BB)) {
if (BlocksInLoop.count(Pred))
setBlockFreq(BB, getEdgeFreq(Pred, BB));
// TODO: else? irreducible, ignore it for now.
return;
}
bool isInLoop = false;
bool isLoopHead = false;
for (typename GT::ChildIteratorType
PI = GraphTraits< Inverse<BlockT *> >::child_begin(BB),
PE = GraphTraits< Inverse<BlockT *> >::child_end(BB);
PI != PE; ++PI) {
BlockT *Pred = *PI;
if (isReachable(Pred) && isBackedge(Pred, BB)) {
isLoopHead = true;
} else if (BlocksInLoop.count(Pred)) {
incBlockFreq(BB, getEdgeFreq(Pred, BB));
isInLoop = true;
}
// TODO: else? irreducible.
}
if (!isInLoop)
return;
if (!isLoopHead)
return;
assert(START_FREQ >= CycleProb[BB]);
divBlockFreq(BB, BranchProbability(START_FREQ - CycleProb[BB], START_FREQ));
}
/// doLoop - Propagate block frequency down throught the loop.
void doLoop(BlockT *Head, BlockT *Tail) {
DEBUG(dbgs() << "doLoop(" << getBlockName(Head) << ", "
<< getBlockName(Tail) << ")\n");
SmallPtrSet<BlockT *, 8> BlocksInLoop;
for (rpot_iterator I = rpot_at(Head), E = rpot_end(); I != E; ++I) {
BlockT *BB = *I;
doBlock(BB, Head, BlocksInLoop);
BlocksInLoop.insert(BB);
}
// Compute loop's cyclic probability using backedges probabilities.
for (typename GT::ChildIteratorType
PI = GraphTraits< Inverse<BlockT *> >::child_begin(Head),
PE = GraphTraits< Inverse<BlockT *> >::child_end(Head);
PI != PE; ++PI) {
BlockT *Pred = *PI;
assert(Pred);
if (isReachable(Pred) && isBackedge(Pred, Head)) {
BranchProbability Prob = BPI->getBackEdgeProbability(Pred, Head);
uint64_t N = Prob.getNumerator();
uint64_t D = Prob.getDenominator();
uint64_t Res = (N * START_FREQ) / D;
// CycleProb[Head] += getEdgeFreq(Pred, Head);
assert(Res <= UINT32_MAX);
CycleProb[Head] += (uint32_t) Res;
}
}
}
friend class BlockFrequency;
void doFunction(FunctionT *fn, BlockProbInfoT *bpi) {
Fn = fn;
BPI = bpi;
// Clear everything.
RPO.clear();
POT.clear();
CycleProb.clear();
Freqs.clear();
BlockT *EntryBlock = fn->begin();
copy(po_begin(EntryBlock), po_end(EntryBlock), back_inserter(POT));
unsigned RPOidx = 0;
for (rpot_iterator I = rpot_begin(), E = rpot_end(); I != E; ++I) {
BlockT *BB = *I;
RPO[BB] = ++RPOidx;
DEBUG(dbgs() << "RPO[" << getBlockName(BB) << "] = " << RPO[BB] << "\n");
}
// Travel over all blocks in postorder.
for (pot_iterator I = pot_begin(), E = pot_end(); I != E; ++I) {
BlockT *BB = *I;
BlockT *LastTail = 0;
DEBUG(dbgs() << "POT: " << getBlockName(BB) << "\n");
for (typename GT::ChildIteratorType
PI = GraphTraits< Inverse<BlockT *> >::child_begin(BB),
PE = GraphTraits< Inverse<BlockT *> >::child_end(BB);
PI != PE; ++PI) {
BlockT *Pred = *PI;
if (isReachable(Pred) && isBackedge(Pred, BB)
&& (!LastTail || RPO[Pred] > RPO[LastTail]))
LastTail = Pred;
}
if (LastTail)
doLoop(BB, LastTail);
}
// At the end assume the whole function as a loop, and travel over it once
// again.
doLoop(*(rpot_begin()), *(pot_begin()));
}
public:
/// getBlockFreq - Return block frequency. Never return 0, value must be
/// positive.
uint32_t getBlockFreq(BlockT *BB) const {
typename DenseMap<BlockT *, uint32_t>::const_iterator I = Freqs.find(BB);
if (I != Freqs.end())
return I->second ? I->second : 1;
return 1;
}
void print(raw_ostream &OS) const {
OS << "\n\n---- Block Freqs ----\n";
for (typename FunctionT::iterator I = Fn->begin(), E = Fn->end(); I != E;) {
BlockT *BB = I++;
OS << " " << getBlockName(BB) << " = " << getBlockFreq(BB) << "\n";
for (typename GraphTraits<BlockT *>::ChildIteratorType
SI = GraphTraits<BlockT *>::child_begin(BB),
SE = GraphTraits<BlockT *>::child_end(BB); SI != SE; ++SI) {
BlockT *Succ = *SI;
OS << " " << getBlockName(BB) << " -> " << getBlockName(Succ)
<< " = " << getEdgeFreq(BB, Succ) << "\n";
}
}
}
void dump() const {
print(dbgs());
}
};
}
#endif

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//=======-------- BlockFrequency.cpp - Block Frequency Analysis -------=======//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// Loops should be simplified before this analysis.
//
//===----------------------------------------------------------------------===//
#include "llvm/InitializePasses.h"
#include "llvm/Analysis/BlockFrequencyImpl.h"
#include "llvm/Analysis/BlockFrequency.h"
#include "llvm/Analysis/LoopInfo.h"
#include "llvm/Analysis/Passes.h"
#include "llvm/Analysis/BranchProbabilityInfo.h"
using namespace llvm;
INITIALIZE_PASS_BEGIN(BlockFrequency, "block-freq", "Block Frequency Analysis",
true, true)
INITIALIZE_PASS_DEPENDENCY(BranchProbabilityInfo)
INITIALIZE_PASS_END(BlockFrequency, "block-freq", "Block Frequency Analysis",
true, true)
char BlockFrequency::ID = 0;
BlockFrequency::BlockFrequency() : FunctionPass(ID) {
initializeBlockFrequencyPass(*PassRegistry::getPassRegistry());
BFI = new BlockFrequencyImpl<BasicBlock, Function, BranchProbabilityInfo>();
}
BlockFrequency::~BlockFrequency() {
delete BFI;
}
void BlockFrequency::getAnalysisUsage(AnalysisUsage &AU) const {
AU.addRequired<BranchProbabilityInfo>();
AU.setPreservesAll();
}
bool BlockFrequency::runOnFunction(Function &F) {
BranchProbabilityInfo &BPI = getAnalysis<BranchProbabilityInfo>();
BFI->doFunction(&F, &BPI);
return false;
}
/// getblockFreq - Return block frequency. Never return 0, value must be
/// positive. Please note that initial frequency is equal to 1024. It means that
/// we should not rely on the value itself, but only on the comparison to the
/// other block frequencies. We do this to avoid using of floating points.
///
uint32_t BlockFrequency::getBlockFreq(BasicBlock *BB) {
return BFI->getBlockFreq(BB);
}