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author | Henri Beauchamp <sldevel@users.noreply.github.com> | 2023-01-31 17:42:51 +0100 |
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committer | GitHub <noreply@github.com> | 2023-01-31 18:42:51 +0200 |
commit | 9438ef5f79fdac11080c3fa10c518e335fd7d8d6 (patch) | |
tree | 9a97248bab30408815c4d242f1ce932e822853a3 /indra/newview/skins/default/xui/en/panel_chiclet_bar.xml | |
parent | 21b592865228bacf07ec8a526f1756bae69597e0 (diff) |
SL-19110 Fast hashing classes for use in place of the slow LLMD5, where speed matters. (#64)
This commit adds the HBXX64 and HBXX128 classes for use as a drop-in
replacement for the slow LLMD5 hashing class, where speed matters and
backward compatibility (with standard hashing algorithms) and/or
cryptographic hashing qualities are not required.
It also replaces LLMD5 with HBXX* in a few existing hot (well, ok, just
"warm" for some) paths meeting the above requirements, while paving the way for
future use cases, such as in the DRTVWR-559 and sibling branches where the slow
LLMD5 is used (e.g. to hash materials and vertex buffer cache entries), and
could be use such a (way) faster algorithm with very significant benefits and
no negative impact.
Here is the comment I added in indra/llcommon/hbxx.h:
// HBXXH* classes are to be used where speed matters and cryptographic quality
// is not required (no "one-way" guarantee, though they are likely not worst in
// this respect than MD5 which got busted and is now considered too weak). The
// xxHash code they are built upon is vectorized and about 50 times faster than
// MD5. A 64 bits hash class is also provided for when 128 bits of entropy are
// not needed. The hashes collision rate is similar to MD5's.
// See https://github.com/Cyan4973/xxHash#readme for details.
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