Mercurial > hg > Members > tobaru > cbc > CbC_llvm
view lib/Support/BranchProbability.cpp @ 77:54457678186b
LLVM 3.6
author | Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp> |
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date | Mon, 08 Sep 2014 22:06:00 +0900 |
parents | 95c75e76d11b |
children | afa8332a0e37 |
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//===-------------- lib/Support/BranchProbability.cpp -----------*- C++ -*-===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This file implements Branch Probability class. // //===----------------------------------------------------------------------===// #include "llvm/Support/BranchProbability.h" #include "llvm/Support/Debug.h" #include "llvm/Support/Format.h" #include "llvm/Support/raw_ostream.h" using namespace llvm; raw_ostream &BranchProbability::print(raw_ostream &OS) const { return OS << N << " / " << D << " = " << format("%g%%", ((double)N / D) * 100.0); } void BranchProbability::dump() const { print(dbgs()) << '\n'; } static uint64_t scale(uint64_t Num, uint32_t N, uint32_t D) { assert(D && "divide by 0"); // Fast path for multiplying by 1.0. if (!Num || D == N) return Num; // Split Num into upper and lower parts to multiply, then recombine. uint64_t ProductHigh = (Num >> 32) * N; uint64_t ProductLow = (Num & UINT32_MAX) * N; // Split into 32-bit digits. uint32_t Upper32 = ProductHigh >> 32; uint32_t Lower32 = ProductLow & UINT32_MAX; uint32_t Mid32Partial = ProductHigh & UINT32_MAX; uint32_t Mid32 = Mid32Partial + (ProductLow >> 32); // Carry. Upper32 += Mid32 < Mid32Partial; // Check for overflow. if (Upper32 >= D) return UINT64_MAX; uint64_t Rem = (uint64_t(Upper32) << 32) | Mid32; uint64_t UpperQ = Rem / D; // Check for overflow. if (UpperQ > UINT32_MAX) return UINT64_MAX; Rem = ((Rem % D) << 32) | Lower32; uint64_t LowerQ = Rem / D; uint64_t Q = (UpperQ << 32) + LowerQ; // Check for overflow. return Q < LowerQ ? UINT64_MAX : Q; } uint64_t BranchProbability::scale(uint64_t Num) const { return ::scale(Num, N, D); } uint64_t BranchProbability::scaleByInverse(uint64_t Num) const { return ::scale(Num, D, N); }