xsimd 14.0.0-ok1 source package in openKylin

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xsimd (14.0.0-ok1) huanghe; urgency=medium

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Uploaded by:
openKylinBot
Sponsored by:
Cibot
Uploaded to:
Huanghe V3.0
Original maintainer:
Openkylin Developers
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

Publishing See full publishing history

Series Pocket Published Component Section
Huanghe V3.0 proposed main science

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File Size SHA-256 Checksum
xsimd_14.0.0.orig.tar.gz 299.0 KiB 17de0236954955c10c09d6938d4c5f3a3b92d31be5dadd1d5d09fc1b15490dce
xsimd_14.0.0-ok1.debian.tar.xz 5.3 KiB f651e5eb8c4d5ed5d462ec3df0cd63c421fc1cc33e321901c06b0fbafc2ce4f1
xsimd_14.0.0-ok1.dsc 2.0 KiB ff35eca1eb1f79ba5851cef448e7b027617ddba86a9c77dd2da49edb5da0e6d5

Available diffs

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Binary packages built by this source

libxsimd-dev: C++ wrappers for SIMD intrinsics

 SIMD (Single Instruction, Multiple Data) is a feature of microprocessors
 that has been available for many years. SIMD instructions perform a
 single operation on a batch of values at once, and thus provide a way to
 significantly accelerate code execution. However, these instructions
 differ between microprocessor vendors and compilers.
 .
 xsimd provides a unified means for using these features for library
 authors. Namely, it enables manipulation of batches of numbers with the
 same arithmetic operators as for single values. It also provides
 accelerated implementation of common mathematical functions operating
 on batches.
 .
 This package provides the header-only library.

libxsimd-doc: Documentation for xsimd

 SIMD (Single Instruction, Multiple Data) is a feature of microprocessors
 that has been available for many years. SIMD instructions perform a
 single operation on a batch of values at once, and thus provide a way to
 significantly accelerate code execution. However, these instructions
 differ between microprocessor vendors and compilers.
 .
 xsimd provides a unified means for using these features for library
 authors. Namely, it enables manipulation of batches of numbers with the
 same arithmetic operators as for single values. It also provides
 accelerated implementation of common mathematical functions operating
 on batches.
 .
 This package provides the documentation.