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First, I think having generic SIMD types like `@Vector(T, N)` (#903 or any other syntax) with most arithmetic operations defined on them is really nice and is useful to many people.
However, this w…
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In original , vld1_u8_x3(Load multiple single-element structures to one, two, three, or four registers) are available, and it seems that in arm v7 also available.
see at https://developer.arm.com/…
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We've iteratively exposed support for various levels of hardware intrinsics since .NET Core 3.1. In .NET 7, we exposed the new "cross platform" hardware intrinsics which aim to help simplify the writi…
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Recently .NET Core enabled hardware intrinsics to generate SIMD instructions from SSE to AVX2. And more instructions are added into the .NET Core API interface. The instruction list can be found at ht…
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Compile existing x86 SSE/AVX SIMD code into WASM SIMD is very attractive, developer can reuse existing library without rewrite it.
However currently only 128-bit subset of the AVX intrinsics are supp…
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Please expose REP MOVSB/D in HW intrinsics API to allow use of ERMSB feature to copy memory blocks without use of SSE and later. obvious use case is - transfer of large memory areas, like set of VM pa…
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Hi, I tried to compile a project with your XMath with android's NDK (r12b) and It generated loads of errors. Most of the errors seem related to vector type conversion(uint32x4_t to float32x4_t etc...)…
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Style changes needed to solve part of https://github.com/dotnet/machinelearning/issues/823
## Details
- In `src\Microsoft.ML.CpuMath\SseIntrinsics.cs`, it may make sense to add some `Debug.Assert…
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Related to #813.
Depends on #2310.
In #2434, we found that vectorized `find` and `count` don't build for ARM64EC due to missing intrinsics. The existing attempt to enable `reverse` and `reverse_…
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To:
[core/fpu_ctrl.cpp](https://github.com/kcat/openal-soft/blob/master/core/fpu_ctrl.cpp)
I have seen a place that applies this patch:
[mxcsr.patch](https://pastebin.com/raw/PATTSUYi)
Do you …