Software Development Practices and Strategies for Efficient I/O at High Core Count of Physics Based Modeling and Simulations

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Description: The SDSC team presents I/O analysis using profiling/tracing tools; the focus is on understanding and improving I/O performance of scientific applications on HPC resources.

Presentors: Dr. Amit Majumdar, Dr. Pietro Cicotti, Dr. Mahidhar Tatineni, Dr. Manu Shantharam (SDSC, University of California San Diego) Dr. Jason Cope (DataDirect Networks), Alan Minga (Cray), Dr Sean Ziegeler (Engility, Inc.)  

Date/Location: September 29-30, 2016, Tec^Edge, Dayton OH.

Distribution Statement D. Distribution limited to the Department of Defense and U.S. DoD contractors only, for administrative or operational use, 30 September 2016.  Other requests for this document shall be referred to the High Performance Modernization Office, 10501 Furnace Road, Suite 101, Lorton, VA 22079.

Course ID number for Global Search: TE815
technical_area: High Performance I/O and Storage