SC is the International Conference for
 High Performnance Computing, Networking, Storage and Analysis

SCHEDULE: NOV 13-19, 2010

Reducing Execution Time of High Performance LINPACK (HPL) Benchmark

SESSION: Research Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Jack Dongarra, Piotr Luszczek

ROOM:Main Lobby

We present a modeling framework to accurately predict time to run dense linear algebra codes with emphasis on HPL. We report the framework's accuracy in a number of varied computational environments such as shared memory multicore systems, clusters, and large supercomputing installations with tens of thousands of cores. We also test the accuracy for various algorithms, each of which having a different scaling properties and tolerance to low-bandwidth/high-latency interconnects. The predictive accuracy is very good and on the order of measurement accuracy which makes the method suitable for both dedicated and non-dedicated environments. We also present a practical application of our model to reduce the time required to tune and optimize large parallel runs whose time is dominated by linear algebra computations. We show practical examples of how to apply the methodology to avoid common pitfalls and reduce the influence of measurement errors and the inherent performance variability.

Chair/Author Details:

Jack Dongarra - University of Tennessee, Knoxville

Piotr Luszczek - University of Tennessee, Knoxville

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