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Conducted tests on IceLake server with LAION 512 1M vectors dataset. We can see in the perf profile, that function ‘vector_distance_float’ is consuming majority of the computation time (this profile is captured during upload). Vectorizing this function, leads to about 2.38X speedup in upload time and 1.45X speedup in RPS during search. --------- Co-authored-by: debing.sun <debing.sun@redis.com> Co-authored-by: Omer Shadmi <76992134+oshadmi@users.noreply.github.com> |
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| redisbloom | ||
| redisearch | ||
| redisjson | ||
| redistimeseries | ||
| vector-sets | ||
| common.mk | ||
| Makefile | ||