OSC has several different file systems where you can create files and directories. The characteristics of those systems and the policies associated with them determine their suitability for any particular purpose. This section describes the characteristics and policies that you should take into consideration in selecting a file system to use.
The various file systems are described in subsequent sections.
R is a language and environment for statistical computing and graphics. It is an integrated suite of software facilities for data manipulation, calculation, and graphical display. It includes
More information can be found here.
While our Python installations come with many popular packages installed, you may come upon a case in which you need an additional package that is not installed. If the specific package you are looking for is available from anaconda.org (formerlly binstar.org), you can easily install it and required dependencies by using the conda package manager.
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).
Fortran, C and C++ compilers produced by the GNU Project.
GNU compilers are available on all our clusters. These are the versions currently available:
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.
OSC offers online and in-person training for new and advanced users on a variety of high performance supercomputing topics.
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 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 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 (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.
