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| Title | PaRSEC in Practice: Optimizing a Legacy Chemistry Application through Distributed Task-Based Execution |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Danalis, A., H. Jagode, G. Bosilca, and J. Dongarra |
| Conference Name | 2015 IEEE International Conference on Cluster Computing |
| Date Published | 2015-09 |
| Publisher | IEEE |
| Conference Location | Chicago, IL |
| Keywords | dag, parsec, ptg, tasks |
| Abstract | Task-based execution has been growing in popularity as a means to deliver a good balance between performance and portability in the post-petascale era. The Parallel Runtime Scheduling and Execution Control (PARSEC) framework is a task-based runtime system that we designed to achieve high performance computing at scale. PARSEC offers a programming paradigm that is different than what has been traditionally used to develop large scale parallel scientific applications. In this paper, we discuss the use of PARSEC to convert a part of the Coupled Cluster (CC) component of the Quantum Chemistry package NWCHEM into a task-based form. We explain how we organized the computation of the CC methods in individual tasks with explicitly defined data dependencies between them and re-integrated the modified code into NWCHEM. We present a thorough performance evaluation and demonstrate that the modified code outperforms the original by more than a factor of two. We also compare the performance of different variants of the modified code and explain the different behaviors that lead to the differences in performance. |
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