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I am adding a completely normal amount of trait bounds to the fearless_simd crate, be not afraid
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I mean look at this nonsense. The function does bitpacking of integer types, as long as the scalar's bit width is a clean multiple of the packed width (e.g. pack 16b values into 1 bit/value, or 2 bits/value, or 4 bits/value, ...). The function is generic over vector types, so can pack 8/16/32/64-bit integers, using 128/256/512 bit simd vectors. Due to the layout of the packed words, the loop over
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🔥 Top post: modern compiler optimizers are quite impressive. It's very silly · 13 likes + reposts
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I mean look at this nonsense. The function does bitpacking of integer types, as long as the scalar's bit width is a clean multiple of the packed width (e.g. pack 16b values into 1 bit/value, or 2 bits/value, or 4 bits/value, ...). The func…
If you're wondering wtf is going on, turns out this is what you have to write down to say "this trait is any primitive integer, and with it you can do stuff that all the primitive integer types can do". Yes, it's very silly. But also yes, …
Oh and also that first bound on SimdElement pulls in another 34 additional trait bounds. BE NOT AFRAID
I am adding a completely normal amount of trait bounds to the fearless_simd crate, be not afraid
The simple joy of setting up a new workstation, using ublock to once again make youtube shorts and upsells and recommendations and themed events fuck all the way off to the top of Fuck Off Mountain, since the only other option is "show les…
Finally also getting some sensible bench numbers when I toggle between vector ISAs now.
SSE2 and SSE4.2: ~100GB/s
AVX2: ~150GB/s
AVX512: ~200GB/s
The simd kernel is using only pretty simple instructions (and, shift, or, a few splats), so I…
it's actually quite silly, now that I look at the numbers. The packer runs in 2.66ns, which is around 10-15 cycles on this CPU if I'm measuring right. So that's 30-50 ~feral hogs~ u8s encoded per cycle on average. That is an extremely sill…
That's still a ways off from even the L2 cache's max throughput on this machine, so I suspect this means I'm limited by the availability of vector units and/or data dependencies limiting ILP.
Still, bit twiddling at a couple hundred gigs/s…
ok the interaction between the simd dispatch! macro and the criterion benchmarking machinery is just incredibly fucking fragile. If I do anything other than directly call my simd function within the body of dispatch!, the additional indire…
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