examl 3.0.22-4 source package in Ubuntu
Changelog
examl (3.0.22-4) unstable; urgency=medium * Packaging update * Standards-Version: 4.6.2 (routine-update) * Fix clean target Closes: #1044839 -- Andreas Tille <email address hidden> Wed, 31 Jan 2024 18:29:57 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
examl_3.0.22-4.dsc | 2.0 KiB | e71608c1ae43229e45cdf6551906201fba20f276d3581dc4e48271b88d641599 |
examl_3.0.22.orig.tar.gz | 919.3 KiB | 802e673b0c2ea83fdbe6b060048d83f22b6978933a04be64fb9b4334fe318ca3 |
examl_3.0.22-4.debian.tar.xz | 26.5 KiB | 5fa0cfad353529e00f26df706a73eaab137e425f7270cac6d68442cc7151a1b8 |
Available diffs
- diff from 3.0.22-3 to 3.0.22-4 (713 bytes)
No changes file available.
Binary packages built by this source
- examl: Exascale Maximum Likelihood (ExaML) code for phylogenetic inference
Exascale Maximum Likelihood (ExaML) is a code for phylogenetic inference
using MPI. This code implements the popular RAxML search algorithm for
maximum likelihood based inference of phylogenetic trees.
.
ExaML is a strapped-down light-weight version of RAxML for phylogenetic
inference on huge datasets. It can only execute some very basic
functions and is intended for computer-savvy users that can write little
perl-scripts and have experience using queue submission scripts for
clusters. ExaML only implements the CAT and GAMMA models of rate
heterogeneity for binary, DNA, and protein data.
.
ExaML uses a radically new MPI parallelization approach that yields
improved parallel efficiency, in particular on partitioned multi-gene or
whole-genome datasets. It also implements a new load balancing algorithm
that yields better parallel efficiency.
.
It is up to 4 times faster than its predecessor RAxML-Light and scales
to a larger number of processors.
- examl-dbgsym: debug symbols for examl