Search our client documentation below, optionally filtered by one or more systems.
This knowledge base is a collection of important, useful information about OSC systems that does not fit into a guide or tutorial, and is too long to be answered in a simple FAQ.
Ruby is named after the Ohio native actress Ruby Dee. An HP built, Intel® Xeon® processor-based supercomputer, Ruby provides almost the same amount of total computing power (~125 TF, used to be ~144 TF with Intel® Xeon® Phi coprocessors) as our former flagship system Oakley on less than half the number of nodes (240 nodes). Ruby now has 20 nodes are outfitted with NVIDIA® Tesla K40 accelerators (Ruby used to feature two distinct sets of hardware accelerators; 20 nodes are outfitted with NVIDIA® Tesla K40 and another 20 nodes feature Intel® Xeon® Phi coprocessors).
STAR-CCM+ provides the world’s most comprehensive engineering physics simulation inside a single integrated package. Much more than a CFD code, STAR‑CCM+ provides an engineering process for solving problems involving flow (of fluids and solids), heat transfer and stress. STAR‑CCM+ is unrivalled in its ability to tackle problems involving multi‑physics and complex geometries. Support is provided by CD-adapco.
Training is an important part of our services. We are working to expand our portfolio; we currently provide the following:
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.
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.