SCHEDULE: NOV 10-16, 2012
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Memory and Parallelism Exploration using the LULESH Proxy Application
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Ian Karlin, Jim McGraw, Esthela Gallardo, Jeff Keasler, Edgar A. Leon, Bert Still
ROOM:East Entrance
ABSTRACT:
Current and planned computer systems present challenges for scientific programming. Memory capacity and bandwidth are limiting performance as floating point capability increases due to more cores per processor and wider vector units. Effectively using hardware requires finding greater parallelism in programs while using relatively less memory. In this poster, we present how we tuned the Livermore Unstructured Lagrange Explicit Shock Hydrodynamics proxy application for on-node performance resulting in 62% fewer memory reads, a 19% smaller memory footprint, 770% more floating point operations vectorizing and less than 0.1% serial section runtime. Tests show serial runtime decreases of up to 57% and parallel runtime reductions of up to 75%. We are also applying these optimizations to GPUs and a subset of ALE3D, from which the proxy application was derived. So far we achieve up to a 1.9x speedup on GPUs, and a 13% runtime reduction in the application for the same problem.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Ian Karlin - Lawrence Livermore National Laboratory
Jim McGraw - Lawrence Livermore National Laboratory
Esthela Gallardo - University of Texas at El Paso
Jeff Keasler - Lawrence Livermore National Laboratory
Edgar A. Leon - Lawrence Livermore National Laboratory
Bert Still - Lawrence Livermore National Laboratory
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Memory and Parallelism Exploration using the LULESH Proxy Application
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Ian Karlin, Jim McGraw, Esthela Gallardo, Jeff Keasler, Edgar A. Leon, Bert Still
ROOM:East Entrance
ABSTRACT:
Current and planned computer systems present challenges for scientific programming. Memory capacity and bandwidth are limiting performance as floating point capability increases due to more cores per processor and wider vector units. Effectively using hardware requires finding greater parallelism in programs while using relatively less memory. In this poster, we present how we tuned the Livermore Unstructured Lagrange Explicit Shock Hydrodynamics proxy application for on-node performance resulting in 62% fewer memory reads, a 19% smaller memory footprint, 770% more floating point operations vectorizing and less than 0.1% serial section runtime. Tests show serial runtime decreases of up to 57% and parallel runtime reductions of up to 75%. We are also applying these optimizations to GPUs and a subset of ALE3D, from which the proxy application was derived. So far we achieve up to a 1.9x speedup on GPUs, and a 13% runtime reduction in the application for the same problem.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Ian Karlin - Lawrence Livermore National Laboratory
Jim McGraw - Lawrence Livermore National Laboratory
Esthela Gallardo - University of Texas at El Paso
Jeff Keasler - Lawrence Livermore National Laboratory
Edgar A. Leon - Lawrence Livermore National Laboratory
Bert Still - Lawrence Livermore National Laboratory
Click here to download .ics calendar file