OSC Help consists of technical support and consulting services for OSC's high performance computing resources. Members of OSC's HPC Client Services group staff OSC Help.
Before contacting OSC Help, please check to see if your question is answered in either the FAQ or the Knowledge Base. Many of the questions asked by both new and experienced OSC users are answered in these web pages.
MPJ-Express is a Java library that provides message passing capabilities for parallel computing in Java applications.
MPJ-Express is available on Oakley.
We provide a number of web portals for our user community.
ARMSTRONG allows users to monitor their account summary information – RU balances and usage. In addition, PIs can manage their authorized users and keep their grants and publications up to date.
This two hour workshop will provide an introduction to OSC resources and how to access them. Topics include:
- High performance computing concepts.
- Hardware and software available at OSC.
- Getting allocations and accounts.
- How to connect and log in.
- How to move data on and off the systems.
- Introduction to batch processing.
- Storage and file systems.
Optional hands-on participation:
OSC offers perioding training both at our facility and at universities across the state on a variety of topics. Additionally, we will partner with other organizations to enable our users to access additional training resources. Here you can find copies of the materials from recent training events.
OSC HPC resources use an operating system called "Linux", which is a UNIX-based operating system, first released on 5 October 1991. Linux is by a wide margin the most popular operating system choice for supercomputing, with over 90% of the Top 500 list running some variant of it. In fact, many common devices run Linux variant operating systems, including game consoles, tablets, routers, and even Android-based smartphones.
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.