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SCHEDULE: NOV 16-21, 2014

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A Study on Balancing Parallelism and Data Locality in Stencil Calculations

SESSION: Numerical Kernels

EVENT TYPE: Papers

TIME: 11:30AM - 12:00PM

SESSION CHAIR: Kirk E. Jordan

AUTHOR(S):Catherine Olschanowsky, Stephen Guzik, John Loffeld, Jeffrey Hittinger, Michelle Strout

ROOM:391-92

ABSTRACT:

Large-scale, PDE-based scientific applications are commonly parallelized across large compute resources using MPI. However, the compute power of the resource as a whole can only be utilized if each multicore node is fully utilized. Currently, many PDE solver frameworks parallelize over boxes. In the Chombo framework, the box sizes are typically 16^3, but larger box sizes such as 128^3 would result in less ghost cell overhead. Unfortunately, typical on-node parallel scaling performs quite poorly for these larger box sizes. In this paper, we investigate around 30 different inter-loop optimization strategies and demonstrate the parallel scaling advantages of some of these variants on NUMA multicore nodes. Shifted, fused, and communication-avoiding variants for 128^3 boxes result in close to ideal parallel scaling and come close to matching the performance of 16^3 boxes on three different multicore systems for an exemplarfor many Computational Fluid Dynamic (CFD) codes.

Chair/Author Details:

Kirk E. Jordan (Chair) - IBM Corporation

Catherine Olschanowsky - Colorado State University

Stephen Guzik - Colorado State University

John Loffeld - Lawrence Livermore National Laboratory

Jeffrey Hittinger - Lawrence Livermore National Laboratory

Michelle Strout - Colorado State University

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society