Dykes, T;
Gheller, C;
Rivi, M;
Krokos, M;
(2017)
Splotch: porting and optimizing for the Xeon Phi.
The International Journal of High Performance Computing Applications
, 31
(6)
pp. 550-563.
10.1177/1094342016652713.
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Abstract
With the increasing size and complexity of data produced by large scale numerical simulations, it is of primary importance for scientists to be able to exploit all available hardware in heterogenous High Performance Computing environments for increased throughput and efficiency. We focus on the porting and optimization of Splotch, a scalable visualization algorithm, to utilize the Xeon Phi, Intel's coprocessor based upon the new Many Integrated Core architecture. We discuss steps taken to offload data to the coprocessor and algorithmic modifications to aid faster processing on the many-core architecture and make use of the uniquely wide vector capabilities of the device, with accompanying performance results using multiple Xeon Phi. Finally performance is compared against results achieved with the GPU implementation of Splotch.
| Type: | Article |
|---|---|
| Title: | Splotch: porting and optimizing for the Xeon Phi |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/1094342016652713 |
| Publisher version: | https://doi.org/10.1177/1094342016652713 |
| Language: | English |
| Additional information: | This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
| Keywords: | Xeon Phi, high-performance computing, visualization, optimization, GPU |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1499876 |
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