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Using Star-P� on DoD High Performance Computing Systems
By: Samsi, S.; Elton, B.H.; Boyle, P.; Abdullah, A.H.; Smith, H.B.; Srivastava, N.; Chalker, A.; Ahalt, S.; Humphrey, L.;
2009 / IEEE / 978-1-4244-5769-4
This item was taken from the IEEE Conference ' Using Star-P� on DoD High Performance Computing Systems ' This paper provides a step-by-step demonstration of a Very High Level Language system, Star-P, on Department of Defense (DoD) high performance computing (HPC) systems. Specifically, we demonstrate how to effect parallel computing in MATLAB and Python via Star-P on the DoD Supercomputing Resource Center (DSRC) Army Research Laboratory (ARL) 4,488-core Intel Woodcrest MJM system. We demonstrate how to run various Star-P/MATLAB and Star-P/Python programs in parallel on the ARL DSRC MJM system. The results will focus on the use of Star-P software platform and how it delivers mission tempo by enabling rapid application prototyping and allowing transparent use of DSRC HPC resources from familiar desktop environments, such as Microsoft Windows and Linux.
Dod Supercomputing Resource Center
Intel Woodcrest Mjm System
Us Department Of Defense
Algorithm Design And Analysis
Department Of Defense
Dod High Performance Computing Systems
High Level Languages
Star-p High-level Language