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author | Kawrakow <iwankawrakow@gmail.com> | 2024-12-14 09:24:30 +0100 |
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committer | GitHub <noreply@github.com> | 2024-12-14 09:24:30 +0100 |
commit | 20758edcae65213b2f575b6d23dfea67ad9dd0e0 (patch) | |
tree | f9f32d541da8bb945a45bbf473b9295496ec5c2b /examples/quantize/tests.sh | |
parent | 12f962dd2494b743deb1c671974a591fdef1f003 (diff) |
Q8_K_R8: Fastest quantized matrix multiplications (#141)
* q8_k_r8: fastest matrix multiplication known to human kind
We get PP-512(LLaMA-3.1-8B) = 370 t/s on a Ryzen-7950X!
* q8_k_r8: AVX2
I was worried that we don't have enough vector registrers on
AVX2, but it looks like it handles it just fine. We get
PP-512(LLaMA-3.1-8B) = 354 t/s on a Ryzen-5975WX.
Slightly slower than the Zen4 version with double the threads,
but still a huge upgrade compared to Q8_0_R4.
* q8_k_r4: NEON
We get PP-512(LLaMA-3.1-8B) = 159.2 t/s.
Compare this to the 128 t/s we have fr Q8_0_R4.
* q8_k_r4: go to signed ints
Why?
* On AVX2 _mm256_maddubs_epi16() may overflow, so we need to
stay within the signed int range and use _mm256_sign_epi8.
Not yet tested on the AVX2 comp, vut expect major slowdown.
* It is almost 10% faster on ARM_NEON. Somehow the veorrq_u8()
needed tto convert from unsigned to signed seems to be extremely
slow on the M2-Max
* We only lose ~0.5% in oerformance on Zen4 (there the exclusive
or that we now use to convert fro signed to unsigned seems to be
much faster than on M2-Max)
* Shutup useless compiler warnings
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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