Location: 5628 Math Science, Visualization Portal

Date and Time: Feb 3 2015 – 2:00pm – 3:00pm

UCLA-IDRE has an impressive and a very useful Hoffman2 computing infrastructure. It has grown from initial 256 cores to current 12,000+ cores in a short span of time. It serves a large number of research scientists and enable them to achieve new heights within their computing research.

This large size of compute infrastructure is of great help but it may still fall short of computing needs that require extremely large parallel scaling or large memory on a single node. The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles and storage to researchers from academia. Access to these resources is obtained through an application process that is based on the merit of the research objectives, and demonstration of the efficacy and parallel scalability of the software to utilize such computing resources.

The aim of this presentation is to explain the capabilities of various leadership class computing facilities in USA. Also it will introduce the opportunities and resources available to UCLA researchers in terms of knowledge base, allocation process as well as in terms of scaling or optimizing their software to better utilize such compute resources.

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