Artifact libsimde-dev_0.8.2-2_all

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deb_control_files:
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- md5sums
deb_fields:
  Architecture: all
  Description: |-
    Implementations of SIMD instructions for all systems
     SIMDe 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.).
     .
     This makes porting code to other architectures much easier in a few key ways:
     .
     First, instead of forcing you to rewrite everything for each architecture,
     SIMDe lets you get a port up and running almost effortlessly. You can then
     start working on switching the most performance-critical sections to native
     intrinsics, improving performance gradually. SIMDe lets (for example) SSE/AVX
     and NEON code exist side-by-side, in the same implementation.
     .
     Second, SIMDe makes it easier to write code targeting ISA extensions you don't
     have convenient access to. You can run NEON code on your x86 machine without an
     emulator. Obviously you'll eventually want to test on the actual hardware
     you're targeting, but for most development, SIMDe can provide a much easier
     path.
     .
     SIMDe takes a very different approach from most other SIMD abstraction layers
     in that it aims to expose the entire functionality of the underlying
     instruction set. Instead of limiting functionality to the lowest common
     denominator, SIMDe tries to minimize the amount of effort required to port
     while still allowing you the space to optimize as needed.
     .
     The current focus is on writing complete portable implementations, though a
     large number of functions already have accelerated implementations using one
     (or more) of the following:
     .
         SIMD intrinsics from other ISA extensions (e.g., using NEON to implement
     SSE).
         Compiler-specific vector extensions and built-ins such as
     __builtin_shufflevector and __builtin_convertvector
         Compiler auto-vectorization hints, using:
            OpenMP 4 SIMD
            Cilk Plus
            GCC loop-specific pragmas
            clang pragma loop hint directives
  Homepage: https://github.com/simd-everywhere/simde
  Installed-Size: '8382'
  Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
  Multi-Arch: foreign
  Package: libsimde-dev
  Priority: optional
  Section: libdevel
  Source: simde
  Version: 0.8.2-2
srcpkg_name: simde
srcpkg_version: 0.8.2-2

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built-using Source package simde_0.8.2-2

binary package System mirror trixie from https://deb.debian.org/debian - 2 weeks, 2 days ago 0 minutes
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