diff options
author | Martin Ankerl <martin.ankerl@gmail.com> | 2018-05-06 13:55:33 +0200 |
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committer | Martin Ankerl <martin.ankerl@gmail.com> | 2018-05-06 13:55:33 +0200 |
commit | 9aac9f90d5e56752cc6cbfac48063ad29a01143c (patch) | |
tree | d31c9257dcb47c522d20b2859c87e164dd7eb8ca /src/bloom.cpp | |
parent | 66cc47be982aa431b72494f5d655c20eea17a0f5 (diff) |
replace modulus with FastMod
Replaces the slow modulo operation with a much faster 32bit multiplication & shift. This works
because the hash should be uniformly distributed between 0 and 2^32-1. This speeds up the benchmark
by a factor of about 1.3:
RollingBloom, 5, 1500000, 3.73733, 4.97569e-07, 4.99002e-07, 4.98372e-07 # before
RollingBloom, 5, 1500000, 2.86842, 3.81630e-07, 3.83730e-07, 3.82473e-07 # FastMod
Be aware that this changes the position of the bits that are toggled, so this should probably
not be used for CBloomFilter which is serialized.
Diffstat (limited to 'src/bloom.cpp')
-rw-r--r-- | src/bloom.cpp | 13 |
1 files changed, 11 insertions, 2 deletions
diff --git a/src/bloom.cpp b/src/bloom.cpp index f07b5b6066..f8e28edded 100644 --- a/src/bloom.cpp +++ b/src/bloom.cpp @@ -245,6 +245,14 @@ static inline uint32_t RollingBloomHash(unsigned int nHashNum, uint32_t nTweak, return MurmurHash3(nHashNum * 0xFBA4C795 + nTweak, vDataToHash); } + +// A replacement for x % n. This assumes that x and n are 32bit integers, and x is a uniformly random distributed 32bit value +// which should be the case for a good hash. +// See https://lemire.me/blog/2016/06/27/a-fast-alternative-to-the-modulo-reduction/ +static inline uint32_t FastMod(uint32_t x, size_t n) { + return ((uint64_t)x * (uint64_t)n) >> 32; +} + void CRollingBloomFilter::insert(const std::vector<unsigned char>& vKey) { if (nEntriesThisGeneration == nEntriesPerGeneration) { @@ -268,7 +276,8 @@ void CRollingBloomFilter::insert(const std::vector<unsigned char>& vKey) for (int n = 0; n < nHashFuncs; n++) { uint32_t h = RollingBloomHash(n, nTweak, vKey); int bit = h & 0x3F; - uint32_t pos = (h >> 6) % data.size(); + /* FastMod works with the upper bits of h, so it is safe to ignore that the lower bits of h are already used for bit. */ + uint32_t pos = FastMod(h, data.size()); /* The lowest bit of pos is ignored, and set to zero for the first bit, and to one for the second. */ data[pos & ~1] = (data[pos & ~1] & ~(((uint64_t)1) << bit)) | ((uint64_t)(nGeneration & 1)) << bit; data[pos | 1] = (data[pos | 1] & ~(((uint64_t)1) << bit)) | ((uint64_t)(nGeneration >> 1)) << bit; @@ -286,7 +295,7 @@ bool CRollingBloomFilter::contains(const std::vector<unsigned char>& vKey) const for (int n = 0; n < nHashFuncs; n++) { uint32_t h = RollingBloomHash(n, nTweak, vKey); int bit = h & 0x3F; - uint32_t pos = (h >> 6) % data.size(); + uint32_t pos = FastMod(h, data.size()); /* If the relevant bit is not set in either data[pos & ~1] or data[pos | 1], the filter does not contain vKey */ if (!(((data[pos & ~1] | data[pos | 1]) >> bit) & 1)) { return false; |