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TIP: Remember to check the menu to the right of the page for related pages with more information about Ruby's specifics.
On 10/13/2016, Intel Xeon Phi coprocessors on Ruby were removed from service. Please contact OSC Help if you have any questions or want to help get access to alternative resources.
Ruby was named after the Ohio native actress Ruby Dee. An HP built, Intel® Xeon® processor-based supercomputer, Ruby provided 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 had has 20 nodes are outfitted with NVIDIA® Tesla K40 accelerators (Ruby used to feature two distinct sets of hardware accelerators; 20 nodes were outfitted with NVIDIA® Tesla K40 and another 20 nodes feature Intel® Xeon® Phi coprocessors).
Owens
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:
We provide a number of web portals for our user community.
OSC OnDemand is a "one-stop-shop" for accessing OSC compute resources. You can submit and monitor jobs, manage files, open terminal sessions and even get a desktop. Full documentation is available.
Description
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:
Ascend, Gateway, Owens, Pitzer
OSC offers online and in-person training for new and advanced users on a variety of high performance supercomputing topics.
New! Online Training Courses
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:
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 allows you to create and submit jobs via your web browser, and the other allows you to monitor queued and running jobs.
Here is a tutorial video that gives an overview of OnDemand's Job client's capabilities and how to utilize them.
