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//===- ICF.cpp ------------------------------------------------------------===//
//
// The LLVM Linker
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// Identical COMDAT Folding is a feature to merge COMDAT sections not by
// name (which is regular COMDAT handling) but by contents. If two COMDAT
// sections have the same data, relocations, attributes, etc., then the two
// are considered identical and merged by the linker. This optimization
// makes outputs smaller.
//
// ICF is theoretically a problem of reducing graphs by merging as many
// identical subgraphs as possible, if we consider sections as vertices and
// relocations as edges. This may be a bit more complicated problem than you
// might think. The order of processing sections matters since merging two
// sections can make other sections, whose relocations now point to the same
// section, mergeable. Graphs may contain cycles, which is common in COFF.
// We need a sophisticated algorithm to do this properly and efficiently.
//
// What we do in this file is this. We split sections into groups. Sections
// in the same group are considered identical.
//
// First, all sections are grouped by their "constant" values. Constant
// values are values that are never changed by ICF, such as section contents,
// section name, number of relocations, type and offset of each relocation,
// etc. Because we do not care about some relocation targets in this step,
// two sections in the same group may not be identical, but at least two
// sections in different groups can never be identical.
//
// Then, we try to split each group by relocation targets. Relocations are
// considered identical if and only if the relocation targets are in the
// same group. Splitting a group may make more groups to be splittable,
// because two relocations that were previously considered identical might
// now point to different groups. We repeat this step until the convergence
// is obtained.
//
// This algorithm is so-called "optimistic" algorithm described in
// http://research.google.com/pubs/pub36912.html.
//
//===----------------------------------------------------------------------===//
#include "Chunks.h"
#include "Symbols.h"
#include "lld/Core/Parallel.h"
#include "llvm/ADT/Hashing.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/raw_ostream.h"
#include <algorithm>
#include <atomic>
#include <vector>
using namespace llvm;
namespace lld {
namespace coff {
typedef std::vector<SectionChunk *>::iterator ChunkIterator;
typedef bool (*Comparator)(const SectionChunk *, const SectionChunk *);
class ICF {
public:
void run(const std::vector<Chunk *> &V);
private:
static uint64_t getHash(SectionChunk *C);
static bool equalsConstant(const SectionChunk *A, const SectionChunk *B);
static bool equalsVariable(const SectionChunk *A, const SectionChunk *B);
bool forEachGroup(std::vector<SectionChunk *> &Chunks, Comparator Eq);
bool segregate(ChunkIterator Begin, ChunkIterator End, Comparator Eq);
std::atomic<uint64_t> NextID = { 1 };
};
// Entry point to ICF.
void doICF(const std::vector<Chunk *> &Chunks) {
ICF().run(Chunks);
}
uint64_t ICF::getHash(SectionChunk *C) {
return hash_combine(C->getPermissions(),
hash_value(C->SectionName),
C->NumRelocs,
C->getAlign(),
uint32_t(C->Header->SizeOfRawData),
C->Checksum);
}
bool ICF::equalsConstant(const SectionChunk *A, const SectionChunk *B) {
if (A->AssocChildren.size() != B->AssocChildren.size() ||
A->NumRelocs != B->NumRelocs) {
return false;
}
// Compare associative sections.
for (size_t I = 0, E = A->AssocChildren.size(); I != E; ++I)
if (A->AssocChildren[I]->GroupID != B->AssocChildren[I]->GroupID)
return false;
// Compare relocations.
auto Eq = [&](const coff_relocation &R1, const coff_relocation &R2) {
if (R1.Type != R2.Type ||
R1.VirtualAddress != R2.VirtualAddress) {
return false;
}
SymbolBody *B1 = A->File->getSymbolBody(R1.SymbolTableIndex)->repl();
SymbolBody *B2 = B->File->getSymbolBody(R2.SymbolTableIndex)->repl();
if (B1 == B2)
return true;
if (auto *D1 = dyn_cast<DefinedRegular>(B1))
if (auto *D2 = dyn_cast<DefinedRegular>(B2))
return D1->getValue() == D2->getValue() &&
D1->getChunk()->GroupID == D2->getChunk()->GroupID;
return false;
};
if (!std::equal(A->Relocs.begin(), A->Relocs.end(), B->Relocs.begin(), Eq))
return false;
// Compare section attributes and contents.
return A->getPermissions() == B->getPermissions() &&
A->SectionName == B->SectionName &&
A->getAlign() == B->getAlign() &&
A->Header->SizeOfRawData == B->Header->SizeOfRawData &&
A->Checksum == B->Checksum &&
A->getContents() == B->getContents();
}
bool ICF::equalsVariable(const SectionChunk *A, const SectionChunk *B) {
// Compare associative sections.
for (size_t I = 0, E = A->AssocChildren.size(); I != E; ++I)
if (A->AssocChildren[I]->GroupID != B->AssocChildren[I]->GroupID)
return false;
// Compare relocations.
auto Eq = [&](const coff_relocation &R1, const coff_relocation &R2) {
SymbolBody *B1 = A->File->getSymbolBody(R1.SymbolTableIndex)->repl();
SymbolBody *B2 = B->File->getSymbolBody(R2.SymbolTableIndex)->repl();
if (B1 == B2)
return true;
if (auto *D1 = dyn_cast<DefinedRegular>(B1))
if (auto *D2 = dyn_cast<DefinedRegular>(B2))
return D1->getChunk()->GroupID == D2->getChunk()->GroupID;
return false;
};
return std::equal(A->Relocs.begin(), A->Relocs.end(), B->Relocs.begin(), Eq);
}
bool ICF::segregate(ChunkIterator Begin, ChunkIterator End, Comparator Eq) {
bool R = false;
for (auto It = Begin;;) {
SectionChunk *Head = *It;
auto Bound = std::partition(It + 1, End, [&](SectionChunk *SC) {
return Eq(Head, SC);
});
if (Bound == End)
return R;
uint64_t ID = NextID++;
std::for_each(It, Bound, [&](SectionChunk *SC) { SC->GroupID = ID; });
It = Bound;
R = true;
}
}
bool ICF::forEachGroup(std::vector<SectionChunk *> &Chunks, Comparator Eq) {
bool R = false;
for (auto It = Chunks.begin(), End = Chunks.end(); It != End;) {
SectionChunk *Head = *It;
auto Bound = std::find_if(It + 1, End, [&](SectionChunk *SC) {
return SC->GroupID != Head->GroupID;
});
if (segregate(It, Bound, Eq))
R = true;
It = Bound;
}
return R;
}
// Merge identical COMDAT sections.
// Two sections are considered the same if their section headers,
// contents and relocations are all the same.
void ICF::run(const std::vector<Chunk *> &Vec) {
// Collect only mergeable sections and group by hash value.
parallel_for_each(Vec.begin(), Vec.end(), [&](Chunk *C) {
if (auto *SC = dyn_cast<SectionChunk>(C)) {
bool Global = SC->Sym && SC->Sym->isExternal();
bool Writable = SC->getPermissions() & llvm::COFF::IMAGE_SCN_MEM_WRITE;
if (SC->isCOMDAT() && SC->isLive() && Global && !Writable)
SC->GroupID = getHash(SC) | (uint64_t(1) << 63);
}
});
std::vector<SectionChunk *> Chunks;
for (Chunk *C : Vec) {
if (auto *SC = dyn_cast<SectionChunk>(C)) {
if (SC->GroupID) {
Chunks.push_back(SC);
} else {
SC->GroupID = NextID++;
}
}
}
// From now on, sections in Chunks are ordered so that sections in
// the same group are consecutive in the vector.
std::sort(Chunks.begin(), Chunks.end(),
[](SectionChunk *A, SectionChunk *B) {
return A->GroupID < B->GroupID;
});
// Split groups until we get a convergence.
int Cnt = 1;
forEachGroup(Chunks, equalsConstant);
for (;;) {
if (!forEachGroup(Chunks, equalsVariable))
break;
++Cnt;
}
if (Config->Verbose)
llvm::outs() << "\nICF needed " << Cnt << " iterations.\n";
// Merge sections in the same group.
for (auto It = Chunks.begin(), End = Chunks.end(); It != End;) {
SectionChunk *Head = *It++;
auto Bound = std::find_if(It, End, [&](SectionChunk *SC) {
return Head->GroupID != SC->GroupID;
});
if (It == Bound)
continue;
if (Config->Verbose)
llvm::outs() << "Selected " << Head->getDebugName() << "\n";
while (It != Bound) {
SectionChunk *SC = *It++;
if (Config->Verbose)
llvm::outs() << " Removed " << SC->getDebugName() << "\n";
Head->replace(SC);
}
}
}
} // namespace coff
} // namespace lld