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author | David Phillips <david@sighup.nz> | 2017-05-28 18:54:38 +1200 |
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committer | David Phillips <david@sighup.nz> | 2017-05-28 18:54:38 +1200 |
commit | 194f2dd5d0f4de73e73e0621e60ed4b73e09c2be (patch) | |
tree | 5947290ff0b85fd99217bed61fcf362b79f68b5e | |
parent | cc9a95e708ac558dc5c7aebd121d82fd9a59ebcd (diff) | |
download | sand-leek-194f2dd5d0f4de73e73e0621e60ed4b73e09c2be.tar.xz |
Remove SSSE3 note
-rw-r--r-- | README.md | 7 |
1 files changed, 0 insertions, 7 deletions
@@ -29,13 +29,6 @@ that keys are sane. Preliminary benching shows sand leek to be faster than some of the other similar tools out there when pushing work across cores. -I have also written a "slightly parallel" base32 algorithm which uses -SSSE3 if support is given from the compiler and target platform. -Preliminary benchmarks seem to indicate that this gives a performance -benefit of between roughly 3% and 30%. Although, these higher -performance gains seem to be only when running at a reduced worker -thread count. - | CPU(s) | Max throughput | -t | |---------------------------------------------|---------------:|---:| | 2× Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz | 103.3 MH/s | 32 | |