Performance Evaluation of Unified Parallel C for Molecular Dynamics
Abstract
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- March 2016
- DOI:
- 10.48550/arXiv.1603.03888
- arXiv:
- arXiv:1603.03888
- Bibcode:
- 2016arXiv160303888I
- Keywords:
-
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing;
- D.1.2;
- D.1.3
- E-Print:
- 6 pages, 6 figures, Proceedings of the 7th International Conference on PGAS Programming Models 2013