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Source: volk
Section: libdevel
Priority: optional
Maintainer: A. Maitland Bottoms <bottoms@debian.org>
Build-Depends: cmake,
debhelper (>= 9.0.0~),
dh-python,
doxygen,
libboost-filesystem-dev,
libboost-program-options-dev,
libboost-system-dev,
libboost-test-dev,
liborc-0.4-dev,
pkg-config,
python,
python3,
python-mako,
python3-mako,
python-six,
python3-six
Standards-Version: 4.1.4
Homepage: http://libvolk.org
Vcs-Browser: https://salsa.debian.org/bottoms/pkg-volk
Vcs-Git: https://salsa.debian.org/bottoms/pkg-volk.git
Package: libvolk1.4
Section: libs
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}
Multi-Arch: same
Recommends: libvolk1-bin
Suggests: libvolk1-dev
Description: vector optimized functions
Vector-Optimized Library of Kernels is designed to help
applications work with the processor's SIMD instruction sets. These are
very powerful vector operations that can give signal processing a
huge boost in performance.
Package: libvolk1-dev
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: libvolk1.4 (=${binary:Version}), ${misc:Depends}
Breaks: gnuradio-dev (<<3.7.8), libvolk-dev, libvolk1.0-dev
Replaces: gnuradio-dev (<<3.7.8), libvolk-dev, libvolk1.0-dev
Multi-Arch: same
Description: vector optimized function headers
Vector-Optimized Library of Kernels is designed to help
applications work with the processor's SIMD instruction sets. These are
very powerful vector operations that can give signal processing a
huge boost in performance.
.
This package contains the header files.
For documentation, see libvolk-doc.
Package: libvolk1-bin
Section: libs
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: libvolk1.4 (=${binary:Version}),
${misc:Depends},
${python:Depends},
${shlibs:Depends}
Breaks: libvolk-bin, libvolk1.0-bin, gnuradio (<=3.7.2.1)
Replaces: libvolk-bin, libvolk1.0-bin, gnuradio (<=3.7.2.1)
Description: vector optimized runtime tools
Vector-Optimized Library of Kernels is designed to help
applications work with the processor's SIMD instruction sets. These are
very powerful vector operations that can give signal processing a
huge boost in performance.
.
This package includes the volk_profile tool.
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