sse2neon | Intel SSE intrinsics to Arm/Aarch64 NEON implementation

by DLTcollab C++ Version: v1.6.0 License: MIT

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kandi X-RAY | sse2neon Summary

sse2neon is a C++ library typically used in Big Data applications. sse2neon has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

sse2neon is a translator of Intel SSE (Streaming SIMD Extensions) intrinsics to Arm NEON, shortening the time needed to get an Arm working program that then can be used to extract profiles and to identify hot paths in the code. The header file sse2neon.h contains several of the functions provided by Intel intrinsic headers such as , only implemented with NEON-based counterparts to produce the exact semantics of the intrinsics.

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sse2neon has a medium active ecosystem.

It has 940 star(s) with 165 fork(s). There are 30 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 89 have been closed. On average issues are closed in 175 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sse2neon is v1.6.0

Quality

sse2neon has 0 bugs and 0 code smells.

Security

sse2neon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sse2neon code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sse2neon is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sse2neon releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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sse2neon Key Features

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sse2neon Examples and Code Snippets

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Community Discussions

Trending Discussions on sse2neon

Error compiling NEON code under ARM

Adapting CMakeList.txt to run with CUDA

QUESTION

Error compiling NEON code under ARM

Asked 2018-Aug-11 at 15:39

I am trying to port SSE4 optimized code to NEON optimized with following header: https://github.com/jratcliff63367/sse2neon/blob/master/SSE2NEON.h

Got a compilation error during compiling on ODROID-xu4 this code: https://github.com/k06a/creepMiner/tree/feature/neon

...

ANSWER

Answered 2018-Aug-11 at 15:39

-mfpu=neon should solve the problem.

BTW, do you honestly expect just including the header file will do the trick?

NEON has tons of instructions that aren't available on Intel machines, especially in terms of permutation.

What you will get is lots of vtbl instructions that come with nasty latencies here and there that consumes cycles like crazy.

Simply relying on someone else's generic solution cannot be called optimization IMO.

Source https://stackoverflow.com/questions/51797123

QUESTION

Adapting CMakeList.txt to run with CUDA

Asked 2018-Apr-27 at 14:15

I'm working with a slam system, i've install dso, which the code can be seen here::

https://github.com/JakobEngel/dso

Everything works fine, I manage to compile and run without errors. But know I want to parallelize the code, using CUDA. I'm having lot's of trouble adapting it's CMakeLists.txt in order to be able to use CUDA. The original CMakeLists from dso is available here:

dso CMakeLists.txt

I'm trying to adapt it basing my changes on this implementation of another author on another SLAM system:

ORB SLAM 2 CMakeLists.txt using CUDA

Right now my CMakeLists, with my changes (not working), is like this:

...

ANSWER

Answered 2018-Apr-27 at 14:15

Since you are including hello_world.cu file in your main code, then you want to have it compiled with nvcc compiler. To achieve this change name of teste.cpp file to teste.cu (otherwise g++ will be used).

Also remove 'hello_world.cu' from CMakeLists.txt (it is included already in teste file) to have something like this:

Source https://stackoverflow.com/questions/50053198

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

Vulnerabilities

No vulnerabilities reported

Install sse2neon

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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