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The silicon that supports these more or less directly:
GPUs handle Vec3s (`f32x3` typically) all the time already.
Arm SVE supports 384-bit width vector registers and is available Soon™.
RISCVV wil…
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### What is the issue?
```
$ ollama -v
ollama version is 0.4.1
$ ollama run llama3.2-vision:latest
$ ollama ps
NAME ID SIZE PROCESSOR UNTIL …
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# Summary
I found a project that converts Intel SSE intrinsics to Arm/Aarch64 NEON intrinsics ([sse2neon](https://github.com/DLTcollab/sse2neon)). Would faiss be faster if SSE support added to Arm …
gahoo updated
4 months ago
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```csharp
namespace System.Runtime.Intrinsics.Arm;
/// VectorT Summary
public abstract partial class SveF32mm : AdvSimd /// Feature: FEAT_F32MM
{
public static unsafe Vector MatrixMultiplyA…
a74nh updated
3 months ago
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b1fba568f6d4d824554fa22f43ec0f689a265664 determines the VF from a mangling function by its scalar type size. It works for SVE, but maybe not work for RVV. Since RVV has register group concept, it make…
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### 🐛 Describe the bug
Hi everyone, thanks for your effort on this issue.
I'm trying to build executorch on my OrangePi 5 Pro board equipped with an 8 core ARMv8 CPU, But I encountered a compile …
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Extremely slow in CPU mode
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LLVM has fixed and vscale vectors. Casting between them is generally not allowed. Use of ```llvm.vector.insert.*``` and ```llvm.vector.extract.*``` should be a way to accomplish a zero cost conversion…
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Reported first at https://github.com/fxcoudert/gfortran-for-macOS/issues/65
```
meau /tmp $ gfortran-14 a.f90 -O3 -mtune=native -march=native
f951: Error: unknown value 'apple-m1' fo…
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Hello @AnonymousYWL ,
Can you please provide instructions on how to use the libshalom2 library and also its gemm kernel API's? How to run a basic example code on your novel gemm kernel?