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Improving compiler and run-time support for adaptive irregular codes

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2 Author(s)
Hwansoo Han ; Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA ; Tseng, C.-W.

Irregular reductions form the core of adaptive irregular codes. On distributed-memory multiprocessors, they are parallelized either using sophisticated run-time systems (e.g., CHAOS, PILAR) or the shared-memory interface supported by software DSMs (e.g., GYM, TreadMarks). We introduce LOCALWRITE, a new technique based on the owner-computes rule which eliminates the need for buffers or synchronized writes but may replicate computation. We evaluate its performance for irregular codes while varying connectivity, locality, and adaptivity. LOCALWRITE improves performance by 50-150% compared to using replicated buffers, and can match or exceed gather/scatter for applications with low locality or high adaptivity

Published in:

Parallel Architectures and Compilation Techniques, 1998. Proceedings. 1998 International Conference on

Date of Conference:

12-18 Oct 1998