FastNoiseSIMD | C SIMD Noise Library

 by   Auburn C++ Version: 0.7 License: MIT

kandi X-RAY | FastNoiseSIMD Summary

kandi X-RAY | FastNoiseSIMD Summary

FastNoiseSIMD is a C++ library typically used in Big Data applications. FastNoiseSIMD has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

FastNoiseSIMD
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              FastNoiseSIMD has a low active ecosystem.
              It has 550 star(s) with 80 fork(s). There are 34 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 6 open issues and 27 have been closed. On average issues are closed in 84 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of FastNoiseSIMD is 0.7

            kandi-Quality Quality

              FastNoiseSIMD has 0 bugs and 0 code smells.

            kandi-Security Security

              FastNoiseSIMD has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              FastNoiseSIMD code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              FastNoiseSIMD is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              FastNoiseSIMD releases are available to install and integrate.

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            FastNoiseSIMD Key Features

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            FastNoiseSIMD Examples and Code Snippets

            No Code Snippets are available at this moment for FastNoiseSIMD.

            Community Discussions

            Trending Discussions on FastNoiseSIMD

            QUESTION

            Compiling library with SSE2 and AVX2
            Asked 2018-Oct-10 at 18:50

            Using VS2015 and compiling a library that has both SSE2 instructions and AVX2 instructions (that are only used if detected in the CPU), if I compile the library with /arch:AVX2 but only call the SSE2 instructions I get "illegal instruction" (on _mm_set1_epi32 first SSE2 instruction called). However, if I compile the lib with /arch:SSE2 it works fine when calling the SSE2 instructions.

            Are the arch settings mutually exclusive? If not how should this be fixed? I have attempted both as a shared lib and static lib with the same issue.

            this is the lib: https://github.com/Auburns/FastNoiseSIMD and there is an issue about it https://github.com/Auburns/FastNoiseSIMD/issues/20, although I don't think the related it directly to AVX2 being on and calling SSE2 instructions.

            ...

            ANSWER

            Answered 2018-Oct-10 at 18:50

            If you build with /arch:AVX or /arch:AVX2, the primary impact is that all SSE code generated by the compiler will use the VEX prefix encoding which allows for more efficient scheduling of registers. If you run such code on a system without AVX or AVX2 support, it will in fact fault with an illegal instruction.

            In other words, your use of _mm_set1_epi32 is an SSE2 instruction, but because you built with /arch:AVX2 it emitted those instructions using the VEX prefix. The /arch switch impacts explicit intrinsics, compiler-generated floating-point math, the autovectorizer, etc.

            If you want to support both 'stock' SSE/SSE2, AVX, and AVX2 platforms with optimized codepaths using the automatic generation supported by the /arch switch, you need three different binaries (EXEs or DLLs).

            See this blog post as well as this one

            Note the main difference between /arch:AVX and /arch:AVX2 is that the compiler will sometimes emit FMA3 instructions where the scheduler thinks it would be faster than a multiply then an add.

            Source https://stackoverflow.com/questions/52745772

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install FastNoiseSIMD

            You can download it from GitHub.

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            ARM NEONAVX-512FAVX2 - FMA3SSE4.1SSE2
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