Paket: examl (3.0.22-6 ve diğerleri)

[ Kaynak: 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 ile İlgili Diğer Paketler

• dep: libc6 (>= 2.38)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: libmpich12 [armel, armhf, i386]

  Shared libraries for MPICH

• dep: libopenmpi40 (>= 5.0.7) [armel, armhf, i386 değil]

  high performance message passing library -- shared library

• dep: mpi-default-bin

  Standard MPI runtime programs (metapackage)

examl indir

Tüm mevcut mimariler için indir

Mimari	Sürüm	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	3.0.22-6+b3	959,8 kB	6.371,0 kB	[dosya listesi]
arm64	3.0.22-6+b3	778,9 kB	1.665,0 kB	[dosya listesi]
armel	3.0.22-6+b2	797,6 kB	2.046,0 kB	[dosya listesi]
armhf	3.0.22-6+b2	785,0 kB	1.598,0 kB	[dosya listesi]
i386	3.0.22-6+b2	1.094,5 kB	7.369,0 kB	[dosya listesi]
mips64el	3.0.22-6+b3	819,7 kB	1.813,0 kB	[dosya listesi]
ppc64el	3.0.22-6+b3	836,8 kB	1.793,0 kB	[dosya listesi]
riscv64	3.0.22-6+b3	835,0 kB	1.577,0 kB	[dosya listesi]
s390x	3.0.22-6+b3	826,1 kB	2.061,0 kB	[dosya listesi]