X-Git-Url: http://demsky.eecs.uci.edu/git/?a=blobdiff_plain;f=lib%2FSupport%2FBranchProbability.cpp;h=65878d6e3025b4d87cae9ca06705856e099db5fb;hb=d6039e045ff2323428debd9419770e369b89e5b8;hp=e8b83e59802d167ef45f0d80d612786803e7c1fe;hpb=7102b617bf69ac24928ce551854a907c649800f9;p=oota-llvm.git diff --git a/lib/Support/BranchProbability.cpp b/lib/Support/BranchProbability.cpp index e8b83e59802..65878d6e302 100644 --- a/lib/Support/BranchProbability.cpp +++ b/lib/Support/BranchProbability.cpp @@ -18,19 +18,56 @@ using namespace llvm; -void BranchProbability::print(raw_ostream &OS) const { - OS << N << " / " << D << " = " << format("%g%%", ((double)N / D) * 100.0); +raw_ostream &BranchProbability::print(raw_ostream &OS) const { + return OS << N << " / " << D << " = " + << format("%g%%", ((double)N / D) * 100.0); } -void BranchProbability::dump() const { - dbgs() << *this << '\n'; -} +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; -namespace llvm { + // 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; +} -raw_ostream &operator<<(raw_ostream &OS, const BranchProbability &Prob) { - Prob.print(OS); - return OS; +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); }