The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures

Matthew Martineau; Simon McIntosh-Smith

doi:10.1109/CLUSTER.2017.126

The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures

Matthew Martineau, Simon McIntosh-Smith

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

7 Citations (Scopus)

Abstract

The arch project is a suite of mini-Apps that have been developed with consistent coding practices, under a common infrastructural layer. Great emphasis has been placed on making the applications concise and easy to manipulate, while capturing the key performance characteristics of their proxied algorithmic classes. The suite is intended for traditional exploration of performance, portability and productivity on modern HPC architectures, but also introduces the potential for focussing on those characteristics of production application stacks that are not generally exposed with isolated mini-App developments. In this paper we discuss the implementation of each of the mini-Apps, and present key findings from the development and optimisation process, alongside details of important future research directions.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	850-857
Number of pages	8
Volume	2017-September
ISBN (Electronic)	9781538623268
DOIs	https://doi.org/10.1109/CLUSTER.2017.126
Publication status	Published - 22 Sept 2017
Event	2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 - Honolulu, United States Duration: 5 Sept 2017 → 8 Sept 2017

Conference

Conference	2017 IEEE International Conference on Cluster Computing, CLUSTER 2017
Country/Territory	United States
City	Honolulu
Period	5/09/17 → 8/09/17

Keywords

High-performance-computing
Mini-Apps
Parallel-programming

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Martineau, M., & McIntosh-Smith, S. (2017). The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures. In Proceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 (Vol. 2017-September, pp. 850-857). Article 8049028 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CLUSTER.2017.126

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Martineau, M & McIntosh-Smith, S 2017, The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures. in Proceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017. vol. 2017-September, 8049028, Institute of Electrical and Electronics Engineers (IEEE), pp. 850-857, 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017, Honolulu, Hawaii, United States, 5/09/17. https://doi.org/10.1109/CLUSTER.2017.126

The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures. / Martineau, Matthew; McIntosh-Smith, Simon.
Proceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017. Vol. 2017-September Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 850-857 8049028.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Martineau M, McIntosh-Smith S. The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures. In Proceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017. Vol. 2017-September. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 850-857. 8049028 doi: 10.1109/CLUSTER.2017.126

The arch project: Physics mini-apps for algorithmic exploration and evaluating programming environments on hpc architectures

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