Partitioned Global Address Space (PGAS) integrates the concepts of shared memory programming and the control of data distribution and locality provided by message passing into a single parallel programming model. The purpose of allying distributed data with shared memory is to cultivate a locality-aware shared memory paradigm. PGAS is comprised of a single shared address space, which is partitioned among threads. Each thread has a portion of the shared address space in local memory and therefore it can exploit data locality by mainly doing computation on local data. Unified Parallel C (UPC) is a parallel extension of ISO C and an implementation of the PGAS model. In this paper, we evaluate the performance of UPC based on a real-world scenario from Molecular Dynamics.
@article{arxiv.1603.03888,
title = {Performance Evaluation of Unified Parallel C for Molecular Dynamics},
author = {Kamran Idrees and Christoph Niethammer and Aniello Esposito and Colin W. Glass},
journal= {arXiv preprint arXiv:1603.03888},
year = {2016}
}
Comments
6 pages, 6 figures, Proceedings of the 7th International Conference on PGAS Programming Models 2013