mirror of
https://github.com/c64scene-ar/llvm-6502.git
synced 2024-12-14 11:32:34 +00:00
cd52a7a381
Apparently, the style needs to be agreed upon first. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@240390 91177308-0d34-0410-b5e6-96231b3b80d8
760 lines
25 KiB
C++
760 lines
25 KiB
C++
//===- BlockFrequencyImplInfo.cpp - Block Frequency Info Implementation ---===//
|
|
//
|
|
// 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/Analysis/BlockFrequencyInfoImpl.h"
|
|
#include "llvm/ADT/SCCIterator.h"
|
|
#include "llvm/Support/raw_ostream.h"
|
|
#include <numeric>
|
|
|
|
using namespace llvm;
|
|
using namespace llvm::bfi_detail;
|
|
|
|
#define DEBUG_TYPE "block-freq"
|
|
|
|
ScaledNumber<uint64_t> BlockMass::toScaled() const {
|
|
if (isFull())
|
|
return ScaledNumber<uint64_t>(1, 0);
|
|
return ScaledNumber<uint64_t>(getMass() + 1, -64);
|
|
}
|
|
|
|
void BlockMass::dump() const { print(dbgs()); }
|
|
|
|
static char getHexDigit(int N) {
|
|
assert(N < 16);
|
|
if (N < 10)
|
|
return '0' + N;
|
|
return 'a' + N - 10;
|
|
}
|
|
raw_ostream &BlockMass::print(raw_ostream &OS) const {
|
|
for (int Digits = 0; Digits < 16; ++Digits)
|
|
OS << getHexDigit(Mass >> (60 - Digits * 4) & 0xf);
|
|
return OS;
|
|
}
|
|
|
|
namespace {
|
|
|
|
typedef BlockFrequencyInfoImplBase::BlockNode BlockNode;
|
|
typedef BlockFrequencyInfoImplBase::Distribution Distribution;
|
|
typedef BlockFrequencyInfoImplBase::Distribution::WeightList WeightList;
|
|
typedef BlockFrequencyInfoImplBase::Scaled64 Scaled64;
|
|
typedef BlockFrequencyInfoImplBase::LoopData LoopData;
|
|
typedef BlockFrequencyInfoImplBase::Weight Weight;
|
|
typedef BlockFrequencyInfoImplBase::FrequencyData FrequencyData;
|
|
|
|
/// \brief Dithering mass distributer.
|
|
///
|
|
/// This class splits up a single mass into portions by weight, dithering to
|
|
/// spread out error. No mass is lost. The dithering precision depends on the
|
|
/// precision of the product of \a BlockMass and \a BranchProbability.
|
|
///
|
|
/// The distribution algorithm follows.
|
|
///
|
|
/// 1. Initialize by saving the sum of the weights in \a RemWeight and the
|
|
/// mass to distribute in \a RemMass.
|
|
///
|
|
/// 2. For each portion:
|
|
///
|
|
/// 1. Construct a branch probability, P, as the portion's weight divided
|
|
/// by the current value of \a RemWeight.
|
|
/// 2. Calculate the portion's mass as \a RemMass times P.
|
|
/// 3. Update \a RemWeight and \a RemMass at each portion by subtracting
|
|
/// the current portion's weight and mass.
|
|
struct DitheringDistributer {
|
|
uint32_t RemWeight;
|
|
BlockMass RemMass;
|
|
|
|
DitheringDistributer(Distribution &Dist, const BlockMass &Mass);
|
|
|
|
BlockMass takeMass(uint32_t Weight);
|
|
};
|
|
|
|
} // end namespace
|
|
|
|
DitheringDistributer::DitheringDistributer(Distribution &Dist,
|
|
const BlockMass &Mass) {
|
|
Dist.normalize();
|
|
RemWeight = Dist.Total;
|
|
RemMass = Mass;
|
|
}
|
|
|
|
BlockMass DitheringDistributer::takeMass(uint32_t Weight) {
|
|
assert(Weight && "invalid weight");
|
|
assert(Weight <= RemWeight);
|
|
BlockMass Mass = RemMass * BranchProbability(Weight, RemWeight);
|
|
|
|
// Decrement totals (dither).
|
|
RemWeight -= Weight;
|
|
RemMass -= Mass;
|
|
return Mass;
|
|
}
|
|
|
|
void Distribution::add(const BlockNode &Node, uint64_t Amount,
|
|
Weight::DistType Type) {
|
|
assert(Amount && "invalid weight of 0");
|
|
uint64_t NewTotal = Total + Amount;
|
|
|
|
// Check for overflow. It should be impossible to overflow twice.
|
|
bool IsOverflow = NewTotal < Total;
|
|
assert(!(DidOverflow && IsOverflow) && "unexpected repeated overflow");
|
|
DidOverflow |= IsOverflow;
|
|
|
|
// Update the total.
|
|
Total = NewTotal;
|
|
|
|
// Save the weight.
|
|
Weights.push_back(Weight(Type, Node, Amount));
|
|
}
|
|
|
|
static void combineWeight(Weight &W, const Weight &OtherW) {
|
|
assert(OtherW.TargetNode.isValid());
|
|
if (!W.Amount) {
|
|
W = OtherW;
|
|
return;
|
|
}
|
|
assert(W.Type == OtherW.Type);
|
|
assert(W.TargetNode == OtherW.TargetNode);
|
|
assert(OtherW.Amount && "Expected non-zero weight");
|
|
if (W.Amount > W.Amount + OtherW.Amount)
|
|
// Saturate on overflow.
|
|
W.Amount = UINT64_MAX;
|
|
else
|
|
W.Amount += OtherW.Amount;
|
|
}
|
|
static void combineWeightsBySorting(WeightList &Weights) {
|
|
// Sort so edges to the same node are adjacent.
|
|
std::sort(Weights.begin(), Weights.end(),
|
|
[](const Weight &L,
|
|
const Weight &R) { return L.TargetNode < R.TargetNode; });
|
|
|
|
// Combine adjacent edges.
|
|
WeightList::iterator O = Weights.begin();
|
|
for (WeightList::const_iterator I = O, L = O, E = Weights.end(); I != E;
|
|
++O, (I = L)) {
|
|
*O = *I;
|
|
|
|
// Find the adjacent weights to the same node.
|
|
for (++L; L != E && I->TargetNode == L->TargetNode; ++L)
|
|
combineWeight(*O, *L);
|
|
}
|
|
|
|
// Erase extra entries.
|
|
Weights.erase(O, Weights.end());
|
|
return;
|
|
}
|
|
static void combineWeightsByHashing(WeightList &Weights) {
|
|
// Collect weights into a DenseMap.
|
|
typedef DenseMap<BlockNode::IndexType, Weight> HashTable;
|
|
HashTable Combined(NextPowerOf2(2 * Weights.size()));
|
|
for (const Weight &W : Weights)
|
|
combineWeight(Combined[W.TargetNode.Index], W);
|
|
|
|
// Check whether anything changed.
|
|
if (Weights.size() == Combined.size())
|
|
return;
|
|
|
|
// Fill in the new weights.
|
|
Weights.clear();
|
|
Weights.reserve(Combined.size());
|
|
for (const auto &I : Combined)
|
|
Weights.push_back(I.second);
|
|
}
|
|
static void combineWeights(WeightList &Weights) {
|
|
// Use a hash table for many successors to keep this linear.
|
|
if (Weights.size() > 128) {
|
|
combineWeightsByHashing(Weights);
|
|
return;
|
|
}
|
|
|
|
combineWeightsBySorting(Weights);
|
|
}
|
|
static uint64_t shiftRightAndRound(uint64_t N, int Shift) {
|
|
assert(Shift >= 0);
|
|
assert(Shift < 64);
|
|
if (!Shift)
|
|
return N;
|
|
return (N >> Shift) + (UINT64_C(1) & N >> (Shift - 1));
|
|
}
|
|
void Distribution::normalize() {
|
|
// Early exit for termination nodes.
|
|
if (Weights.empty())
|
|
return;
|
|
|
|
// Only bother if there are multiple successors.
|
|
if (Weights.size() > 1)
|
|
combineWeights(Weights);
|
|
|
|
// Early exit when combined into a single successor.
|
|
if (Weights.size() == 1) {
|
|
Total = 1;
|
|
Weights.front().Amount = 1;
|
|
return;
|
|
}
|
|
|
|
// Determine how much to shift right so that the total fits into 32-bits.
|
|
//
|
|
// If we shift at all, shift by 1 extra. Otherwise, the lower limit of 1
|
|
// for each weight can cause a 32-bit overflow.
|
|
int Shift = 0;
|
|
if (DidOverflow)
|
|
Shift = 33;
|
|
else if (Total > UINT32_MAX)
|
|
Shift = 33 - countLeadingZeros(Total);
|
|
|
|
// Early exit if nothing needs to be scaled.
|
|
if (!Shift) {
|
|
// If we didn't overflow then combineWeights() shouldn't have changed the
|
|
// sum of the weights, but let's double-check.
|
|
assert(Total == std::accumulate(Weights.begin(), Weights.end(), UINT64_C(0),
|
|
[](uint64_t Sum, const Weight &W) {
|
|
return Sum + W.Amount;
|
|
}) &&
|
|
"Expected total to be correct");
|
|
return;
|
|
}
|
|
|
|
// Recompute the total through accumulation (rather than shifting it) so that
|
|
// it's accurate after shifting and any changes combineWeights() made above.
|
|
Total = 0;
|
|
|
|
// Sum the weights to each node and shift right if necessary.
|
|
for (Weight &W : Weights) {
|
|
// Scale down below UINT32_MAX. Since Shift is larger than necessary, we
|
|
// can round here without concern about overflow.
|
|
assert(W.TargetNode.isValid());
|
|
W.Amount = std::max(UINT64_C(1), shiftRightAndRound(W.Amount, Shift));
|
|
assert(W.Amount <= UINT32_MAX);
|
|
|
|
// Update the total.
|
|
Total += W.Amount;
|
|
}
|
|
assert(Total <= UINT32_MAX);
|
|
}
|
|
|
|
void BlockFrequencyInfoImplBase::clear() {
|
|
// Swap with a default-constructed std::vector, since std::vector<>::clear()
|
|
// does not actually clear heap storage.
|
|
std::vector<FrequencyData>().swap(Freqs);
|
|
std::vector<WorkingData>().swap(Working);
|
|
Loops.clear();
|
|
}
|
|
|
|
/// \brief Clear all memory not needed downstream.
|
|
///
|
|
/// Releases all memory not used downstream. In particular, saves Freqs.
|
|
static void cleanup(BlockFrequencyInfoImplBase &BFI) {
|
|
std::vector<FrequencyData> SavedFreqs(std::move(BFI.Freqs));
|
|
BFI.clear();
|
|
BFI.Freqs = std::move(SavedFreqs);
|
|
}
|
|
|
|
bool BlockFrequencyInfoImplBase::addToDist(Distribution &Dist,
|
|
const LoopData *OuterLoop,
|
|
const BlockNode &Pred,
|
|
const BlockNode &Succ,
|
|
uint64_t Weight) {
|
|
if (!Weight)
|
|
Weight = 1;
|
|
|
|
auto isLoopHeader = [&OuterLoop](const BlockNode &Node) {
|
|
return OuterLoop && OuterLoop->isHeader(Node);
|
|
};
|
|
|
|
BlockNode Resolved = Working[Succ.Index].getResolvedNode();
|
|
|
|
#ifndef NDEBUG
|
|
auto debugSuccessor = [&](const char *Type) {
|
|
dbgs() << " =>"
|
|
<< " [" << Type << "] weight = " << Weight;
|
|
if (!isLoopHeader(Resolved))
|
|
dbgs() << ", succ = " << getBlockName(Succ);
|
|
if (Resolved != Succ)
|
|
dbgs() << ", resolved = " << getBlockName(Resolved);
|
|
dbgs() << "\n";
|
|
};
|
|
(void)debugSuccessor;
|
|
#endif
|
|
|
|
if (isLoopHeader(Resolved)) {
|
|
DEBUG(debugSuccessor("backedge"));
|
|
Dist.addBackedge(Resolved, Weight);
|
|
return true;
|
|
}
|
|
|
|
if (Working[Resolved.Index].getContainingLoop() != OuterLoop) {
|
|
DEBUG(debugSuccessor(" exit "));
|
|
Dist.addExit(Resolved, Weight);
|
|
return true;
|
|
}
|
|
|
|
if (Resolved < Pred) {
|
|
if (!isLoopHeader(Pred)) {
|
|
// If OuterLoop is an irreducible loop, we can't actually handle this.
|
|
assert((!OuterLoop || !OuterLoop->isIrreducible()) &&
|
|
"unhandled irreducible control flow");
|
|
|
|
// Irreducible backedge. Abort.
|
|
DEBUG(debugSuccessor("abort!!!"));
|
|
return false;
|
|
}
|
|
|
|
// If "Pred" is a loop header, then this isn't really a backedge; rather,
|
|
// OuterLoop must be irreducible. These false backedges can come only from
|
|
// secondary loop headers.
|
|
assert(OuterLoop && OuterLoop->isIrreducible() && !isLoopHeader(Resolved) &&
|
|
"unhandled irreducible control flow");
|
|
}
|
|
|
|
DEBUG(debugSuccessor(" local "));
|
|
Dist.addLocal(Resolved, Weight);
|
|
return true;
|
|
}
|
|
|
|
bool BlockFrequencyInfoImplBase::addLoopSuccessorsToDist(
|
|
const LoopData *OuterLoop, LoopData &Loop, Distribution &Dist) {
|
|
// Copy the exit map into Dist.
|
|
for (const auto &I : Loop.Exits)
|
|
if (!addToDist(Dist, OuterLoop, Loop.getHeader(), I.first,
|
|
I.second.getMass()))
|
|
// Irreducible backedge.
|
|
return false;
|
|
|
|
return true;
|
|
}
|
|
|
|
/// \brief Compute the loop scale for a loop.
|
|
void BlockFrequencyInfoImplBase::computeLoopScale(LoopData &Loop) {
|
|
// Compute loop scale.
|
|
DEBUG(dbgs() << "compute-loop-scale: " << getLoopName(Loop) << "\n");
|
|
|
|
// Infinite loops need special handling. If we give the back edge an infinite
|
|
// mass, they may saturate all the other scales in the function down to 1,
|
|
// making all the other region temperatures look exactly the same. Choose an
|
|
// arbitrary scale to avoid these issues.
|
|
//
|
|
// FIXME: An alternate way would be to select a symbolic scale which is later
|
|
// replaced to be the maximum of all computed scales plus 1. This would
|
|
// appropriately describe the loop as having a large scale, without skewing
|
|
// the final frequency computation.
|
|
const Scaled64 InifiniteLoopScale(1, 12);
|
|
|
|
// LoopScale == 1 / ExitMass
|
|
// ExitMass == HeadMass - BackedgeMass
|
|
BlockMass TotalBackedgeMass;
|
|
for (auto &Mass : Loop.BackedgeMass)
|
|
TotalBackedgeMass += Mass;
|
|
BlockMass ExitMass = BlockMass::getFull() - TotalBackedgeMass;
|
|
|
|
// Block scale stores the inverse of the scale. If this is an infinite loop,
|
|
// its exit mass will be zero. In this case, use an arbitrary scale for the
|
|
// loop scale.
|
|
Loop.Scale =
|
|
ExitMass.isEmpty() ? InifiniteLoopScale : ExitMass.toScaled().inverse();
|
|
|
|
DEBUG(dbgs() << " - exit-mass = " << ExitMass << " (" << BlockMass::getFull()
|
|
<< " - " << TotalBackedgeMass << ")\n"
|
|
<< " - scale = " << Loop.Scale << "\n");
|
|
}
|
|
|
|
/// \brief Package up a loop.
|
|
void BlockFrequencyInfoImplBase::packageLoop(LoopData &Loop) {
|
|
DEBUG(dbgs() << "packaging-loop: " << getLoopName(Loop) << "\n");
|
|
|
|
// Clear the subloop exits to prevent quadratic memory usage.
|
|
for (const BlockNode &M : Loop.Nodes) {
|
|
if (auto *Loop = Working[M.Index].getPackagedLoop())
|
|
Loop->Exits.clear();
|
|
DEBUG(dbgs() << " - node: " << getBlockName(M.Index) << "\n");
|
|
}
|
|
Loop.IsPackaged = true;
|
|
}
|
|
|
|
#ifndef NDEBUG
|
|
static void debugAssign(const BlockFrequencyInfoImplBase &BFI,
|
|
const DitheringDistributer &D, const BlockNode &T,
|
|
const BlockMass &M, const char *Desc) {
|
|
dbgs() << " => assign " << M << " (" << D.RemMass << ")";
|
|
if (Desc)
|
|
dbgs() << " [" << Desc << "]";
|
|
if (T.isValid())
|
|
dbgs() << " to " << BFI.getBlockName(T);
|
|
dbgs() << "\n";
|
|
}
|
|
#endif
|
|
|
|
void BlockFrequencyInfoImplBase::distributeMass(const BlockNode &Source,
|
|
LoopData *OuterLoop,
|
|
Distribution &Dist) {
|
|
BlockMass Mass = Working[Source.Index].getMass();
|
|
DEBUG(dbgs() << " => mass: " << Mass << "\n");
|
|
|
|
// Distribute mass to successors as laid out in Dist.
|
|
DitheringDistributer D(Dist, Mass);
|
|
|
|
for (const Weight &W : Dist.Weights) {
|
|
// Check for a local edge (non-backedge and non-exit).
|
|
BlockMass Taken = D.takeMass(W.Amount);
|
|
if (W.Type == Weight::Local) {
|
|
Working[W.TargetNode.Index].getMass() += Taken;
|
|
DEBUG(debugAssign(*this, D, W.TargetNode, Taken, nullptr));
|
|
continue;
|
|
}
|
|
|
|
// Backedges and exits only make sense if we're processing a loop.
|
|
assert(OuterLoop && "backedge or exit outside of loop");
|
|
|
|
// Check for a backedge.
|
|
if (W.Type == Weight::Backedge) {
|
|
OuterLoop->BackedgeMass[OuterLoop->getHeaderIndex(W.TargetNode)] += Taken;
|
|
DEBUG(debugAssign(*this, D, W.TargetNode, Taken, "back"));
|
|
continue;
|
|
}
|
|
|
|
// This must be an exit.
|
|
assert(W.Type == Weight::Exit);
|
|
OuterLoop->Exits.push_back(std::make_pair(W.TargetNode, Taken));
|
|
DEBUG(debugAssign(*this, D, W.TargetNode, Taken, "exit"));
|
|
}
|
|
}
|
|
|
|
static void convertFloatingToInteger(BlockFrequencyInfoImplBase &BFI,
|
|
const Scaled64 &Min, const Scaled64 &Max) {
|
|
// Scale the Factor to a size that creates integers. Ideally, integers would
|
|
// be scaled so that Max == UINT64_MAX so that they can be best
|
|
// differentiated. However, in the presence of large frequency values, small
|
|
// frequencies are scaled down to 1, making it impossible to differentiate
|
|
// small, unequal numbers. When the spread between Min and Max frequencies
|
|
// fits well within MaxBits, we make the scale be at least 8.
|
|
const unsigned MaxBits = 64;
|
|
const unsigned SpreadBits = (Max / Min).lg();
|
|
Scaled64 ScalingFactor;
|
|
if (SpreadBits <= MaxBits - 3) {
|
|
// If the values are small enough, make the scaling factor at least 8 to
|
|
// allow distinguishing small values.
|
|
ScalingFactor = Min.inverse();
|
|
ScalingFactor <<= 3;
|
|
} else {
|
|
// If the values need more than MaxBits to be represented, saturate small
|
|
// frequency values down to 1 by using a scaling factor that benefits large
|
|
// frequency values.
|
|
ScalingFactor = Scaled64(1, MaxBits) / Max;
|
|
}
|
|
|
|
// Translate the floats to integers.
|
|
DEBUG(dbgs() << "float-to-int: min = " << Min << ", max = " << Max
|
|
<< ", factor = " << ScalingFactor << "\n");
|
|
for (size_t Index = 0; Index < BFI.Freqs.size(); ++Index) {
|
|
Scaled64 Scaled = BFI.Freqs[Index].Scaled * ScalingFactor;
|
|
BFI.Freqs[Index].Integer = std::max(UINT64_C(1), Scaled.toInt<uint64_t>());
|
|
DEBUG(dbgs() << " - " << BFI.getBlockName(Index) << ": float = "
|
|
<< BFI.Freqs[Index].Scaled << ", scaled = " << Scaled
|
|
<< ", int = " << BFI.Freqs[Index].Integer << "\n");
|
|
}
|
|
}
|
|
|
|
/// \brief Unwrap a loop package.
|
|
///
|
|
/// Visits all the members of a loop, adjusting their BlockData according to
|
|
/// the loop's pseudo-node.
|
|
static void unwrapLoop(BlockFrequencyInfoImplBase &BFI, LoopData &Loop) {
|
|
DEBUG(dbgs() << "unwrap-loop-package: " << BFI.getLoopName(Loop)
|
|
<< ": mass = " << Loop.Mass << ", scale = " << Loop.Scale
|
|
<< "\n");
|
|
Loop.Scale *= Loop.Mass.toScaled();
|
|
Loop.IsPackaged = false;
|
|
DEBUG(dbgs() << " => combined-scale = " << Loop.Scale << "\n");
|
|
|
|
// Propagate the head scale through the loop. Since members are visited in
|
|
// RPO, the head scale will be updated by the loop scale first, and then the
|
|
// final head scale will be used for updated the rest of the members.
|
|
for (const BlockNode &N : Loop.Nodes) {
|
|
const auto &Working = BFI.Working[N.Index];
|
|
Scaled64 &F = Working.isAPackage() ? Working.getPackagedLoop()->Scale
|
|
: BFI.Freqs[N.Index].Scaled;
|
|
Scaled64 New = Loop.Scale * F;
|
|
DEBUG(dbgs() << " - " << BFI.getBlockName(N) << ": " << F << " => " << New
|
|
<< "\n");
|
|
F = New;
|
|
}
|
|
}
|
|
|
|
void BlockFrequencyInfoImplBase::unwrapLoops() {
|
|
// Set initial frequencies from loop-local masses.
|
|
for (size_t Index = 0; Index < Working.size(); ++Index)
|
|
Freqs[Index].Scaled = Working[Index].Mass.toScaled();
|
|
|
|
for (LoopData &Loop : Loops)
|
|
unwrapLoop(*this, Loop);
|
|
}
|
|
|
|
void BlockFrequencyInfoImplBase::finalizeMetrics() {
|
|
// Unwrap loop packages in reverse post-order, tracking min and max
|
|
// frequencies.
|
|
auto Min = Scaled64::getLargest();
|
|
auto Max = Scaled64::getZero();
|
|
for (size_t Index = 0; Index < Working.size(); ++Index) {
|
|
// Update min/max scale.
|
|
Min = std::min(Min, Freqs[Index].Scaled);
|
|
Max = std::max(Max, Freqs[Index].Scaled);
|
|
}
|
|
|
|
// Convert to integers.
|
|
convertFloatingToInteger(*this, Min, Max);
|
|
|
|
// Clean up data structures.
|
|
cleanup(*this);
|
|
|
|
// Print out the final stats.
|
|
DEBUG(dump());
|
|
}
|
|
|
|
BlockFrequency
|
|
BlockFrequencyInfoImplBase::getBlockFreq(const BlockNode &Node) const {
|
|
if (!Node.isValid())
|
|
return 0;
|
|
return Freqs[Node.Index].Integer;
|
|
}
|
|
Scaled64
|
|
BlockFrequencyInfoImplBase::getFloatingBlockFreq(const BlockNode &Node) const {
|
|
if (!Node.isValid())
|
|
return Scaled64::getZero();
|
|
return Freqs[Node.Index].Scaled;
|
|
}
|
|
|
|
std::string
|
|
BlockFrequencyInfoImplBase::getBlockName(const BlockNode &Node) const {
|
|
return std::string();
|
|
}
|
|
std::string
|
|
BlockFrequencyInfoImplBase::getLoopName(const LoopData &Loop) const {
|
|
return getBlockName(Loop.getHeader()) + (Loop.isIrreducible() ? "**" : "*");
|
|
}
|
|
|
|
raw_ostream &
|
|
BlockFrequencyInfoImplBase::printBlockFreq(raw_ostream &OS,
|
|
const BlockNode &Node) const {
|
|
return OS << getFloatingBlockFreq(Node);
|
|
}
|
|
|
|
raw_ostream &
|
|
BlockFrequencyInfoImplBase::printBlockFreq(raw_ostream &OS,
|
|
const BlockFrequency &Freq) const {
|
|
Scaled64 Block(Freq.getFrequency(), 0);
|
|
Scaled64 Entry(getEntryFreq(), 0);
|
|
|
|
return OS << Block / Entry;
|
|
}
|
|
|
|
void IrreducibleGraph::addNodesInLoop(const BFIBase::LoopData &OuterLoop) {
|
|
Start = OuterLoop.getHeader();
|
|
Nodes.reserve(OuterLoop.Nodes.size());
|
|
for (auto N : OuterLoop.Nodes)
|
|
addNode(N);
|
|
indexNodes();
|
|
}
|
|
void IrreducibleGraph::addNodesInFunction() {
|
|
Start = 0;
|
|
for (uint32_t Index = 0; Index < BFI.Working.size(); ++Index)
|
|
if (!BFI.Working[Index].isPackaged())
|
|
addNode(Index);
|
|
indexNodes();
|
|
}
|
|
void IrreducibleGraph::indexNodes() {
|
|
for (auto &I : Nodes)
|
|
Lookup[I.Node.Index] = &I;
|
|
}
|
|
void IrreducibleGraph::addEdge(IrrNode &Irr, const BlockNode &Succ,
|
|
const BFIBase::LoopData *OuterLoop) {
|
|
if (OuterLoop && OuterLoop->isHeader(Succ))
|
|
return;
|
|
auto L = Lookup.find(Succ.Index);
|
|
if (L == Lookup.end())
|
|
return;
|
|
IrrNode &SuccIrr = *L->second;
|
|
Irr.Edges.push_back(&SuccIrr);
|
|
SuccIrr.Edges.push_front(&Irr);
|
|
++SuccIrr.NumIn;
|
|
}
|
|
|
|
namespace llvm {
|
|
template <> struct GraphTraits<IrreducibleGraph> {
|
|
typedef bfi_detail::IrreducibleGraph GraphT;
|
|
|
|
typedef const GraphT::IrrNode NodeType;
|
|
typedef GraphT::IrrNode::iterator ChildIteratorType;
|
|
|
|
static const NodeType *getEntryNode(const GraphT &G) {
|
|
return G.StartIrr;
|
|
}
|
|
static ChildIteratorType child_begin(NodeType *N) { return N->succ_begin(); }
|
|
static ChildIteratorType child_end(NodeType *N) { return N->succ_end(); }
|
|
};
|
|
}
|
|
|
|
/// \brief Find extra irreducible headers.
|
|
///
|
|
/// Find entry blocks and other blocks with backedges, which exist when \c G
|
|
/// contains irreducible sub-SCCs.
|
|
static void findIrreducibleHeaders(
|
|
const BlockFrequencyInfoImplBase &BFI,
|
|
const IrreducibleGraph &G,
|
|
const std::vector<const IrreducibleGraph::IrrNode *> &SCC,
|
|
LoopData::NodeList &Headers, LoopData::NodeList &Others) {
|
|
// Map from nodes in the SCC to whether it's an entry block.
|
|
SmallDenseMap<const IrreducibleGraph::IrrNode *, bool, 8> InSCC;
|
|
|
|
// InSCC also acts the set of nodes in the graph. Seed it.
|
|
for (const auto *I : SCC)
|
|
InSCC[I] = false;
|
|
|
|
for (auto I = InSCC.begin(), E = InSCC.end(); I != E; ++I) {
|
|
auto &Irr = *I->first;
|
|
for (const auto *P : make_range(Irr.pred_begin(), Irr.pred_end())) {
|
|
if (InSCC.count(P))
|
|
continue;
|
|
|
|
// This is an entry block.
|
|
I->second = true;
|
|
Headers.push_back(Irr.Node);
|
|
DEBUG(dbgs() << " => entry = " << BFI.getBlockName(Irr.Node) << "\n");
|
|
break;
|
|
}
|
|
}
|
|
assert(Headers.size() >= 2 &&
|
|
"Expected irreducible CFG; -loop-info is likely invalid");
|
|
if (Headers.size() == InSCC.size()) {
|
|
// Every block is a header.
|
|
std::sort(Headers.begin(), Headers.end());
|
|
return;
|
|
}
|
|
|
|
// Look for extra headers from irreducible sub-SCCs.
|
|
for (const auto &I : InSCC) {
|
|
// Entry blocks are already headers.
|
|
if (I.second)
|
|
continue;
|
|
|
|
auto &Irr = *I.first;
|
|
for (const auto *P : make_range(Irr.pred_begin(), Irr.pred_end())) {
|
|
// Skip forward edges.
|
|
if (P->Node < Irr.Node)
|
|
continue;
|
|
|
|
// Skip predecessors from entry blocks. These can have inverted
|
|
// ordering.
|
|
if (InSCC.lookup(P))
|
|
continue;
|
|
|
|
// Store the extra header.
|
|
Headers.push_back(Irr.Node);
|
|
DEBUG(dbgs() << " => extra = " << BFI.getBlockName(Irr.Node) << "\n");
|
|
break;
|
|
}
|
|
if (Headers.back() == Irr.Node)
|
|
// Added this as a header.
|
|
continue;
|
|
|
|
// This is not a header.
|
|
Others.push_back(Irr.Node);
|
|
DEBUG(dbgs() << " => other = " << BFI.getBlockName(Irr.Node) << "\n");
|
|
}
|
|
std::sort(Headers.begin(), Headers.end());
|
|
std::sort(Others.begin(), Others.end());
|
|
}
|
|
|
|
static void createIrreducibleLoop(
|
|
BlockFrequencyInfoImplBase &BFI, const IrreducibleGraph &G,
|
|
LoopData *OuterLoop, std::list<LoopData>::iterator Insert,
|
|
const std::vector<const IrreducibleGraph::IrrNode *> &SCC) {
|
|
// Translate the SCC into RPO.
|
|
DEBUG(dbgs() << " - found-scc\n");
|
|
|
|
LoopData::NodeList Headers;
|
|
LoopData::NodeList Others;
|
|
findIrreducibleHeaders(BFI, G, SCC, Headers, Others);
|
|
|
|
auto Loop = BFI.Loops.emplace(Insert, OuterLoop, Headers.begin(),
|
|
Headers.end(), Others.begin(), Others.end());
|
|
|
|
// Update loop hierarchy.
|
|
for (const auto &N : Loop->Nodes)
|
|
if (BFI.Working[N.Index].isLoopHeader())
|
|
BFI.Working[N.Index].Loop->Parent = &*Loop;
|
|
else
|
|
BFI.Working[N.Index].Loop = &*Loop;
|
|
}
|
|
|
|
iterator_range<std::list<LoopData>::iterator>
|
|
BlockFrequencyInfoImplBase::analyzeIrreducible(
|
|
const IrreducibleGraph &G, LoopData *OuterLoop,
|
|
std::list<LoopData>::iterator Insert) {
|
|
assert((OuterLoop == nullptr) == (Insert == Loops.begin()));
|
|
auto Prev = OuterLoop ? std::prev(Insert) : Loops.end();
|
|
|
|
for (auto I = scc_begin(G); !I.isAtEnd(); ++I) {
|
|
if (I->size() < 2)
|
|
continue;
|
|
|
|
// Translate the SCC into RPO.
|
|
createIrreducibleLoop(*this, G, OuterLoop, Insert, *I);
|
|
}
|
|
|
|
if (OuterLoop)
|
|
return make_range(std::next(Prev), Insert);
|
|
return make_range(Loops.begin(), Insert);
|
|
}
|
|
|
|
void
|
|
BlockFrequencyInfoImplBase::updateLoopWithIrreducible(LoopData &OuterLoop) {
|
|
OuterLoop.Exits.clear();
|
|
for (auto &Mass : OuterLoop.BackedgeMass)
|
|
Mass = BlockMass::getEmpty();
|
|
auto O = OuterLoop.Nodes.begin() + 1;
|
|
for (auto I = O, E = OuterLoop.Nodes.end(); I != E; ++I)
|
|
if (!Working[I->Index].isPackaged())
|
|
*O++ = *I;
|
|
OuterLoop.Nodes.erase(O, OuterLoop.Nodes.end());
|
|
}
|
|
|
|
void BlockFrequencyInfoImplBase::adjustLoopHeaderMass(LoopData &Loop) {
|
|
assert(Loop.isIrreducible() && "this only makes sense on irreducible loops");
|
|
|
|
// Since the loop has more than one header block, the mass flowing back into
|
|
// each header will be different. Adjust the mass in each header loop to
|
|
// reflect the masses flowing through back edges.
|
|
//
|
|
// To do this, we distribute the initial mass using the backedge masses
|
|
// as weights for the distribution.
|
|
BlockMass LoopMass = BlockMass::getFull();
|
|
Distribution Dist;
|
|
|
|
DEBUG(dbgs() << "adjust-loop-header-mass:\n");
|
|
for (uint32_t H = 0; H < Loop.NumHeaders; ++H) {
|
|
auto &HeaderNode = Loop.Nodes[H];
|
|
auto &BackedgeMass = Loop.BackedgeMass[Loop.getHeaderIndex(HeaderNode)];
|
|
DEBUG(dbgs() << " - Add back edge mass for node "
|
|
<< getBlockName(HeaderNode) << ": " << BackedgeMass << "\n");
|
|
Dist.addLocal(HeaderNode, BackedgeMass.getMass());
|
|
}
|
|
|
|
DitheringDistributer D(Dist, LoopMass);
|
|
|
|
DEBUG(dbgs() << " Distribute loop mass " << LoopMass
|
|
<< " to headers using above weights\n");
|
|
for (const Weight &W : Dist.Weights) {
|
|
BlockMass Taken = D.takeMass(W.Amount);
|
|
assert(W.Type == Weight::Local && "all weights should be local");
|
|
Working[W.TargetNode.Index].getMass() = Taken;
|
|
DEBUG(debugAssign(*this, D, W.TargetNode, Taken, nullptr));
|
|
}
|
|
}
|