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I'd love to merge the GVN branch from @ajvondrak, but I'm having a few test failures (focusing only on `resource:core` and `resource:basis` at the moment):
```
$ [gvn*] rlwrap ./factor
IN: scratchpad…
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When using code generator with arguments `l=1` and `d=1` `simint_ostei_worksize(1,1)` returns `59840`,
while using code generator with arguments `l=2` and `d=1` `simint_ostei_worksize(1,1)` returns `…
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I tried this code:
```rust
#![feature(portable_simd)]
use std::simd::{num::SimdFloat, Simd};
#[inline(never)]
pub fn px(xx: [Simd; 8], ax: &[Simd], bx: &[Simd], cx: &[Simd]) {
for a in a…
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[EXL (EVA extended library)](https://eprint.iacr.org/2021/1505) supports general EXL vector sizes that are translated into CKKS ciphertext slots by the following:
* User specifies their arbitrary inp…
asraa updated
2 months ago
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```
libs/QPhiX/include/qphix/blas_new_c.h(893): warning #15552: loop was not vectorized with "simd"
libs/QPhiX/include/qphix/blas_new_c.h(893): warning #15552: loop was not vectorized with "simd"
l…
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Arm (aarch64) cpus are becoming more popular/powerful (e.g. AWS Graviton instances) ... does Tantivy also specialize SIMD for Arm CPUs?
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For the record, the game runs okay but it's not very playable due to it stuttering a lot.
There _are_ some spots in the level where it's full-speed, but that's it.
Disabling Neon SIMD or using Per …
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mentioned in #13 this would be a useful operation to have for (float) operations in cfavml itself. for subnormal or large numbers, computing it directly will lead to underflow or overflow. I'm in the …
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We have observed unexpected loss of vectorization effort by the compiler when compiling the code below. Target was amd64 machine with AVX2 instruction set supported.
```rust
type T = u32;
#[i…
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Discovered on https://github.com/dotnet/runtime/pull/75055
```
+ dotnet /datadisks/disk1/work/A650097C/p/xunit/xunit.console.dll JIT/SIMD/JIT.SIMD.XUnitWrapper.dll JIT/Intrinsics/JIT.Intrinsics.XU…