simde | SIMD instruction sets for systems

 by   simd-everywhere C Version: v0.7.6 License: MIT

kandi X-RAY | simde Summary

kandi X-RAY | simde Summary

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

The SIMDe header-only library provides fast, portable implementations of SIMD intrinsics on hardware which doesn't natively support them, such as calling SSE functions on ARM. There is no performance penalty if the hardware supports the native implementation (e.g., SSE/AVX runs at full speed on x86, NEON on ARM, etc.).
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            kandi-support Support

              simde has a medium active ecosystem.
              It has 1827 star(s) with 188 fork(s). There are 44 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 104 open issues and 232 have been closed. On average issues are closed in 356 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of simde is v0.7.6

            kandi-Quality Quality

              simde has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              simde 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

              simde releases are available to install and integrate.

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            simde Key Features

            No Key Features are available at this moment for simde.

            simde Examples and Code Snippets

            No Code Snippets are available at this moment for simde.

            Community Discussions

            QUESTION

            Installing LuaJIT LuaRocks Torch7 on Windows 10 with VS2013 x64 or VS2017 x64 (fail at Torch7)
            Asked 2019-Jul-25 at 17:44

            I spent the past 3 days struggling to have Lua with Torch installed on my new Windows 10 laptop. Reading many stack overflow posts on the subject I came to think my best option was to follow very closely Siavash Gorji 's instructions - see: https://libraries.io/github/SiavashGorji/LuaJIT-Luarocks-Torch7.

            LuaJIT and LuaRocks installed fine, but "luarocks install torch" command fails (fails when building torch7 using either VS2013 x64 or VS2017 x64).

            First of, even if both LuaJIT and LuaRocks successfully build and run, here is what the first cmake did output:

            ...

            ANSWER

            Answered 2019-Jul-25 at 17:44

            OK Microsoft Windows 10 Users. I solved this amazing installation/configuration/re-compilation puzzle using VS2013 x64 (one could most likely succeed as well using VS2017 and maybe even VS2019). The solution is based on Siavash Gorji 's instructions - see: https://libraries.io/github/SiavashGorji/LuaJIT-Luarocks-Torch7 that I followed step by step while keeping an exact and detailed log of everything I had to do.

            Today, I must keep going at installing the optional, but important for execution speed, Installing (recompiling) the NVIDIA CUDA software layers (cutorch, cunn, cunnx and cudnn Modules). And I will post in here, these additional steps later today.

            -1) Today, I did installed the full Intel MKL Library for my VS2013 and VS2017 installs

            0) Now, after a reboot, this is an attempt to successfully install LuaJIT-Luarocks-Torch7 using VS2013 x64 Native Tools Command Prompt

            0.5) To have the Intel MKL Library detected this time around, set environment variables for this VS2013 x64 Native Tools Command Prompt as specified by https://software.intel.com/en-us/mkl-windows-developer-guide-setting-environment-variables and Intel MKL Library installation notes at https://software.intel.com/en-us/mkl/choose-download/windows

            Source https://stackoverflow.com/questions/57172776

            QUESTION

            How to speedup multiple broadcasts in Julia
            Asked 2019-Mar-14 at 12:11

            This Julia function seems to be quite inefficient (an order of magnitude slower than the equivalent Pythran / C++ code, even after the Julia warmup)...

            ...

            ANSWER

            Answered 2018-Nov-26 at 21:06

            Broadcast all operations like this:

            Source https://stackoverflow.com/questions/53460980

            QUESTION

            Can't link a simple "hellow world" with Simd Library
            Asked 2017-Apr-20 at 12:46

            I'm trying to compile a simple code wich calls one function of Simd Library:

            ...

            ANSWER

            Answered 2017-Apr-20 at 12:42

            I have built your example with using of the following options:

            Source https://stackoverflow.com/questions/43518352

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

            Vulnerabilities

            No vulnerabilities reported

            Install simde

            You can download it from GitHub.

            Support

            First off, if you're reading this: thank you! Even considering contributing to SIMDe is very much appreciated!. SIMDe is a fairly large undertaking; there are a lot of functions to get through and a lot of opportunities for optimization on different platforms, so we're very happy for any help you can provide. Programmers of all skill levels are welcome, there are lots of tasks which are pretty straightforward and don't require any special expertise. If you're not sure how you'd like to contribute, please consider taking a look at the issue tracker. There is a good first issue tag if you want to ease into a your first contributions, but if you're interested in something else please get in touch via the issue tracker; we're happy to help you get a handle on whatever you are interested in. If you're interested in implementing currently unimplemented functions, there is a guide explaining how to add new functions and how to quickly and easily get a test case in place. It's a bit rough right now, but if anything is unclear please feel free to use the issue tracker to ask about anything you're not clear on.
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            CLONE
          • HTTPS

            https://github.com/simd-everywhere/simde.git

          • CLI

            gh repo clone simd-everywhere/simde

          • sshUrl

            git@github.com:simd-everywhere/simde.git

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