generic-simd | Generic SIMD abstractions for Rust

by calebzulawski Rust Version: Current License: Non-SPDX

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kandi X-RAY | generic-simd Summary

generic-simd is a Rust library typically used in Big Data applications. generic-simd has no bugs, it has no vulnerabilities and it has low support. However generic-simd has a Non-SPDX License. You can download it from GitHub.

[Rust Documentation] generic-simd provides safe and idiomatic zero-cost abstractions for writing explicit cross-platform SIMD operations.

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generic-simd has a low active ecosystem.

It has 38 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of generic-simd is current.

Quality

generic-simd has no bugs reported.

Security

generic-simd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

generic-simd has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

generic-simd releases are not available. You will need to build from source code and install.

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Community Discussions

Trending Discussions on generic-simd

FFTW single-precision library outputs incorrect DFT when using SIMD optimizations

QUESTION

FFTW single-precision library outputs incorrect DFT when using SIMD optimizations

Asked 2020-Jun-13 at 22:31

I'm testing the FFTW 3.3.8 C library for 1D Discrete Fourier Transform (DFT) calculations. The results I get are often incorrect when I use the float (single-precision) version of the libraries, configured with the --enable-generic-simd128 or --enable-generic-simd256 options (and --enable-float for float support). I have tested this in MinGW-w64 as well as Windows Subsystem for Linux, with gcc as the compiler. I also get the same errors when I use the pre-built FFTW package for MinGW-w64, downloaded via pacman in MSYS2.

As a simple test, I'm using an input vector of 1's. The first element of the expected DFT should be equal to the length of the input vector, with all the other elements zero.

Has anyone run into this issue before, or would anyone be willing to try to reproduce it? Am I to make of this that the --enable-generic-simd128 and --enable-generic-simd256 optimizations are not supported when using the float version of the library? My CPU is Intel i7-4720HQ.

Here is a simple test program to demonstrate the issue:

main.c

...

ANSWER

Answered 2020-Jun-13 at 17:21

This appears to be a bug in FFTW 3.3.8.

I built FFTW 3.3.8 with --enable-float on a 2016 15-inch MacBook Pro running macOS 10.14.6 with Clang 11.0.0 and Xcode 11.3.1 and built and executed the code in the question. It displayed output of 21 for element 0 and values near 0 (such as “6.6324e-07 + j -2.0458e-07”) for the other elements. After I rebuilt FFTW with --enable-generic-simd128 added, the program gave the output shown in the question.

Source https://stackoverflow.com/questions/62317362

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No vulnerabilities reported

Install generic-simd

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

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