We are providing a collection of tutorials to allow self-paced training on various aspects of using OSC resources. Please contact us if you feel there is a specific tutorial that would be of use to the community.
OpenACC is a standard for parallel programming on accelerators, such as Nvidia GPUs and Intel Phi. It consists primarily of a set of compiler directives for executing code on the accelerator, in C and Fortran. OpenACC is currently only supported by the PGI compilers installed on OSC systems.
OpenMP is a standard for parallel programming on shared-memory systems, including multicore systems. It consists primarily of a set of compiler directives for sharing work among multiple threads. OpenMP is supported by all the Fortran, C, and C++ compilers installed on OSC systems.
OnDemand provides two related job managment tools, one which allows you to create and submit jobs via your web browser, and the other allows you to monitor your queued and running jobs.
OnDemand provides a web-based FTP client that can be used to upload and download files to your OSC home directory or project directory, and move, delete, rename, modify permissions, and even edit files.
OnDemand is our "one stop shop" for access to our High Performance Computing resources. With OnDemand, you can upload and download files, create, edit, submit, and monitor jobs, run GUI applications, and connect via SSH, all via a web broswer, with no client software to install and configure.
Our HOWTO collection contains short tutorials that help you step through some of the common (but potentially confusing) tasks users may need to accomplish, that do not quite rise to the level of requiring more structured training materials. Items here may explain a procedure to follow, or present a "best practices" formula that we think may be helpful.
SuperLU is a library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. It comes in two different flavors: SuperLU_MT (multithreaded) for shared memory parallel machines and SuperLU_DIST for distributed memory parallel machines.
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.
TurboVNC is an implementation of VNC optimized for 3D graphics rendering. Like other VNC software, TurboVNC can be used to create a virtual desktop on a remote machine, which can be useful for visualizing CPU-intensive graphics produced remotely.
Availability and Restrictions
TurboVNC is available on Oakley and Glenn Clusters. The versions currently available at OSC are: