FLflipchart·Jun 4, 2020Submission
Libsimdpp: Portable header-only zero-overhead C++ low level SIMD library
1 points · Open discussionp12tic
libsimdpp
C++2016–2020
p12tic / libsimdpp
libsimdpp
Portable header-only C++ low level SIMD library
5Distinct people
5Mentions
0Explicit recommenders
1.3KGitHub stars
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What it is
Portable header-only C++ low level SIMD library
GitHub
Where it is used
No documented product use has been verified yet.
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.
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HN mentions by year5 dated mentions
Observed mentions: 2016-04-04 06:54:40 UTC to 2020-06-04 14:11:12 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
5 sourcesWe've used libsimdcpp to good effect: https://github.com/p12tic/libsimdpp
"libsimdpp is a portable header-only zero-overhead C++ low level SIMD library." Not yet sure how it compares to the linked library.
In Design of a low-level C++ template SIMD library [pdf]I use SIMDPP [0], which allows you to explicitly write SIMD instructions in a portable way. See the documentation [1] for the available commands. Specifically, I write code to be used on both x86 and ARM systems.
> libsimdpp is a portable header-only zero-overhead C++ wrapper around single-instruction multiple-data (SIMD) intrinsics found in many compilers. The library presents a single interface over several instruction sets in such a way that the same source code may be compiled for different instruction sets. The resulting object files then may be hooked into internal dynamic dispatch mechanism.
> The library resolves differences between instruction sets by implementing the missing functionality as a combination of several intrinsics. Moreover, the library supplies a lot of additional, commonly used functionality, such as various varia
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nts of matrix transpositions, interleaving loads/stores, optimized compile-time shuffling instructions, etc. Each of these are implemented in the most efficient manner for the target instruction set. Finally, it's possible to fall back to native intrinsics when necessary, without compromising maintanability.
[0] https://github.com/p12tic/libsimdpp
[1] http://p12tic.github.io/libsimdpp/v2.0%7Erc2/libsimdpp/
It's possible to do automatically this by using a SIMD library such as libsimdpp (https://github.com/p12tic/libsimdpp). Everything is mostly abstracted away and you just write the SIMDified code once and add a CMake rule that builds the same file for several architectures, sets up dynamic dispatch and links everything together.
In Pillow-SIMD: improving the performance of image processingMentioned just in the parent, here is the link : https://github.com/p12tic/libsimdpp
Reaching 2.0 very soon (in RC phase right now), with support for VS which was lacking before.
In SSE: mind the gap