OSC OnDemand provides access to applications on compute nodes through the batch system, without the hassle or performance problems associated with X11 forwarding. To access one, please select an application under "Interactive HPC" from the "Desktop Apps" menu. For more information on each product, please go to its page provided below.
This page provides an overview of file systems at OSC. Each file system is configured differently to serve a different purpose:
The LAMMPS 14May16 known issue wherein parallel lammps spawned too many threads has been fixed on all clusters. No user action is required; if a user had applied the
OMP_NUM_THREADS workaround then it may be removed, but it will not cause probems if left in place. The corrected executables were made the defaults for module lammps/14may16 at these times:
Our current GPFS file system is a distributed process with significant interactions between the clients. As the compute nodes being GPFS flle system clients, a certain amount of memory of each node needs to be reserved for these interactions. As a result, the maximum physical memory of each node allowed to be used by users' jobs are reduced, in order to keep the healthy performance of the file system. In addition, using swap memory is not allowed anymore.
module load caffe
Caffe is "
From their README:
Amber 16 has been installed on the OSC clusters; usage is via the module amber/16. For information on available executables and installation details see the software page for Amber or the output of the module help command, e.g.: module help amber/16. On August 15, 2016 Amber 16 will be made the default amber module.
Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command-line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language.
Octave has extensive tools for solving common numerical linear algebra problems, finding the roots of nonlinear equations, integrating ordinary functions, manipulating polynomials, and integrating ordinary differential and differential-algebraic equations. It is easily extensible and customizable via user-defined functions written in Octave's own language, or using dynamically loaded modules written in C++, C, Fortran, or other languages.
While our Python installations come with many popular packages installed, you may come upon a case where you need an addiditonal 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.
To be able to install a package using the Conda package manager:
While we provide a number of Python modules, you may need a module we do not provide. If it is a commonly used module, or one that is particularly difficult to compile, you can contact OSC Help for assistance, but we have provided an example below showing how to build and install your own Python modules, and make them available inside of Python. Note, these instructions use "bash" shell syntax; this is our default shell, but if you are using something else (csh, tcsh, etc), some of the syntax may be different.