Source: xsimd Section: science Priority: optional Maintainer: Debian Science Maintainers Uploaders: Julien Lamy Build-Depends: debhelper-compat (= 13), cmake, xtl-dev (>= 0.7.0~), python3-breathe , python3-sphinx , python3-sphinx-rtd-theme , doctest-dev Standards-Version: 4.7.0 Vcs-Browser: https://salsa.debian.org/science-team/xsimd Vcs-Git: https://salsa.debian.org/science-team/xsimd.git Homepage: https://github.com/xtensor-stack/xsimd Rules-Requires-Root: no Package: libxsimd-dev Architecture: any Multi-Arch: same Section: libdevel Depends: xtl-dev (>= 0.7.0~), ${misc:Depends} Suggests: libxsimd-doc Breaks: libxtensor-dev (<< 0.24~), python3-pythran (<< 0.11~) Description: 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. Package: libxsimd-doc Architecture: all Multi-Arch: foreign Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends} Build-Profiles: Description: 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.