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While JAX provides native ARM support for M1 other libraries are not yet there and have to be run under Rosetta. x86 wheels don't work on M1 because Rosetta doesn't emulate AVX. Would it be possible t…
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### Background and motivation
This is basically the AVX-512 version of https://github.com/dotnet/runtime/issues/28868. The pointer overloads were missed for AVX-512 as well since they deviate from t…
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SSE support is renewed, I took benchmark.
method:
```
$ cd LPCNet/build_dir/src
$ cat ../../wav/all.wav | ./lpcnet_enc -s > test.out
$ time cat test.out | ./lpcnet_dec -s > /dev/null
```
re…
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Seems larynx compiled with AVX on amd64. It would be nice to add CPU requirement to documentation!
As example - if you using KVM based VM with kvm64 CPU, you will be surprised - why larynx doesn't …
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Math module in nfCommon uses purely SSE4 code. We need to take into account other CPU extension sets:
- Implement no SSE/AVX version of Math module (should depend on NFE_MATH_USE_SSE macro)
- Implemen…
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| | |
| --- | --- |
| Bugzilla Link | [34542](https://llvm.org/bz34542) |
| Version | trunk |
| OS | All |
| CC | @chriselrod,@RKSimon,@ZviRackover |
## Extended Description
This is the IR…
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**Describe the bug**
Whenever I try to load a model using CUDA as target and backend it throws this runtime error stated in the title.
`
net_.setPreferableBackend(cv::dnn::DNN_BACKEND_CUDA);
net_.se…
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@AttilaFueloep has indicated that the original question's premise, a belief that slow performance on non-AVX processors was due to a non-accelerated GHASH, was in error. @AttilaFueloep indicates the …
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### Background and motivation
This proposal allows to accelerate `FP16` operations through Intel's `FP16` ISAs. Both `F16c` and `AVX512 FP16` are covered.
We use `System.Half` datatype --- the m…
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The instructions in this repo for running SP1 are missing rust compilation flags that give free performance gains on most CPUs. The [AMD EPYC 7713](https://www.techpowerup.com/cpu-specs/epyc-7713.c237…