Ascend

OpenMPI

MPI is a standard library for performing parallel processing using a distributed memory model. The Ruby, Owens, and Pitzer clusters at OSC can use the OpenMPI implementation of the Message Passing Interface (MPI).

GNU Compilers

Fortran, C and C++ compilers produced by the GNU Project. 

Availability and Restrictions

Versions

The GNU Compiler Collection (GCC) are available on all our clusters. These are the versions currently available:

Boost

Boost is a set of C++ libraries that provide helpful data structures and numerous support functions in a wide range of aspects of programming, such as, image processing, gpu programming, concurrent programming, along with many algorithms.  Boost is portable and performs well on a wide variety of platforms.

Training

OSC offers online and in-person training for new and advanced users on a variety of high performance supercomputing topics.

New! Online Training Courses

OSC has partnered with The Ohio State University to offer online training courses that clients can complete at their own pace at any time on the ScarletCanvas platform, Ohio State's public learning management system.

The first two available courses are:

Python

Python is a high-level, multi-paradigm programming language that is both easy to learn and useful in a wide variety of applications.  Python has a large standard library as well as a large number of third-party extensions, most of which are completely free and open source. 

ScaLAPACK

ScaLAPACK is a library of high-performance linear algebra routines for clusters supporting MPI. It contains routines for solving systems of linear equations, least squares problems, and eigenvalue problems.

This page documents usage of the ScaLAPACK library installed by OSC from source. An optimized implementation of ScaLAPACK is included in MKL; see the software documentation page for Intel Math Kernel Library for usage information.

NetCDF

NetCDF (Network Common Data Form) is an interface for array-oriented data access and a library that provides an implementation of the interface. The netcdf library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data.

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