MVAPICH
MVAPICH is a standard library for performing parallel processing using a distributed-memory model.
MVAPICH is a standard library for performing parallel processing using a distributed-memory model.
We can improve performace of python calculation by running python in parallel. In this turtorial we will be making use of the multithreading library to run python code in parallel.
The IPython kernel for a Conda/virtual environment must be installed on Jupyter prior to use. This tutorial will walk you though the installation and setup procedure.
OSC will be refreshing the software stack for Owens and Pitzer on May 19, 2020. This will be done in a system-wide downtime. During the software refresh, some default versions will be changed to be more up-to-date. Information about the new default versions, as well as all available versions of each software package will be included on the corresponding OSC software webpage. See https://www.osc.edu/supercomputing/software-list.
Apache Subversion is a full-featured version control system.
If you need to use a MATLAB toolbox that is not provided through our installations. You can follow these instructions, and if you have any difficulties you can contact OSC Help for assistance.
OSC is refreshing the software stack for Owens and Ruby on September 4, 2018. This will be done by a rolling reboot. During the software refresh, some default versions are updated to be more up-to-date. Information about the old and new default versions, as well as all available versions of each software package will be included on the corresponding OSC software webpage. See https://www.osc.edu/supercomputing/software-list.
From julialang.org:
"Julia is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the Jupyter and Julia communities, provides a powerful browser-based graphical notebook interface to Julia."
OSC is refreshing the software stack for Oakley and Ruby on February 22, 2017 (during the scheduled downtime). During the software refresh, some default versions are updated to be more up-to-date and some older versions are removed. Information about the old and new default versions, as well as all available versions of each software package will be included on the corresponding OSC software webpage. See https://www.osc.edu/supercomputing/software-list.