libhmsbeagle 2.1.2+20160831-5 source package in Ubuntu

Changelog

libhmsbeagle (2.1.2+20160831-5) unstable; urgency=medium

  * Restrict Architecture to those where beignet-opencl-icd|mesa-opencl-icd
    is available (mesa-opencl-icd exists for 4 architectures)
    Closes: #842639

 -- Andreas Tille <email address hidden>  Wed, 02 Nov 2016 15:12:30 +0100

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Uploaded by:
Debian Med on 2016-11-02
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
linux-any
Section:
libs
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
libhmsbeagle_2.1.2+20160831-5.dsc 2.4 KiB 4e90613b3bdaf07cbaa174b3de569531a5bf084a1da3a3c2d28f0a006ca98bf4
libhmsbeagle_2.1.2+20160831.orig.tar.xz 243.1 KiB 476fd0a17f2b6ea9560cd0f0c9105936f5da77b9c85717cfaa6042a861a9782f
libhmsbeagle_2.1.2+20160831-5.debian.tar.xz 35.3 KiB 0fa4e81a41cf12e6e959fbcf715216df29339094c9933e410f6a15e41334dc78

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Binary packages built by this source

libhmsbeagle-dev: High-performance lib for Bayesian and Maximum Likelihood phylogenetics (devel)

 BEAGLE is a high-performance library that can perform the core calculations at
 the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It
 can make use of highly-parallel processors such as those in graphics cards
 (GPUs) found in many PCs.
 .
 The project involves an open API and fast implementations of a library for
 evaluating phylogenetic likelihoods (continuous time Markov processes) of
 biomolecular sequence evolution.
 .
 The aim is to provide high performance evaluation 'services' to a wide range
 of phylogenetic software, both Bayesian samplers and Maximum Likelihood
 optimizers. This allows these packages to make use of implementations that
 make use of optimized hardware such as graphics processing units.
 .
 This package contains development files needed to build against Beagle library.

libhmsbeagle-java: High-performance lib for Bayesian and Maximum Likelihood phylogenetics (java)

 BEAGLE is a high-performance library that can perform the core calculations at
 the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It
 can make use of highly-parallel processors such as those in graphics cards
 (GPUs) found in many PCs.
 .
 The project involves an open API and fast implementations of a library for
 evaluating phylogenetic likelihoods (continuous time Markov processes) of
 biomolecular sequence evolution.
 .
 The aim is to provide high performance evaluation 'services' to a wide range
 of phylogenetic software, both Bayesian samplers and Maximum Likelihood
 optimizers. This allows these packages to make use of implementations that
 make use of optimized hardware such as graphics processing units.
 .
 This package contains the Java interface.

libhmsbeagle1v5: High-performance lib for Bayesian and Maximum Likelihood phylogenetics

 BEAGLE is a high-performance library that can perform the core calculations at
 the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It
 can make use of highly-parallel processors such as those in graphics cards
 (GPUs) found in many PCs.
 .
 The project involves an open API and fast implementations of a library for
 evaluating phylogenetic likelihoods (continuous time Markov processes) of
 biomolecular sequence evolution.
 .
 The aim is to provide high performance evaluation 'services' to a wide range
 of phylogenetic software, both Bayesian samplers and Maximum Likelihood
 optimizers. This allows these packages to make use of implementations that
 make use of optimized hardware such as graphics processing units.

libhmsbeagle1v5-dbgsym: debug symbols for package libhmsbeagle1v5

 BEAGLE is a high-performance library that can perform the core calculations at
 the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It
 can make use of highly-parallel processors such as those in graphics cards
 (GPUs) found in many PCs.
 .
 The project involves an open API and fast implementations of a library for
 evaluating phylogenetic likelihoods (continuous time Markov processes) of
 biomolecular sequence evolution.
 .
 The aim is to provide high performance evaluation 'services' to a wide range
 of phylogenetic software, both Bayesian samplers and Maximum Likelihood
 optimizers. This allows these packages to make use of implementations that
 make use of optimized hardware such as graphics processing units.