Python module to generate highly configurable user-defined jobs on a high-performance cluster
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Updated
Jan 22, 2017 - Python
Python module to generate highly configurable user-defined jobs on a high-performance cluster
Tuxedo suite for up to 4 conditions
MrBayes app w/docker & mpi
portcullis tool by Dan Mapleson - https://github.com/maplesond/portcullis
Beast 2 agave & docker package
RAxML agave app and docker image
Docker task execution for existing schedulers/resource managers. Allowing users to run multiple images/containers in parallel as a task submitted to their cluster
A library of MPI utility functions. (Nothing yet to see here.)
High Performance Tensor Transpose in C++
docker image and Agave app for Trimmomatic software
dave A 2048 AI to work on a high performance computing cluster using CUDA and MPI
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