Abstract
We extend the method for particle advection that parallelizes over particles to work in an in situ setting. We then compare our method with the typical method for in situ, parallelizing over data. Our experiments consist of parallelism at 512 cores, a data set with 67 million cells, and ten billion total advection steps. Our findings show that parallelizing over particles can be more than ten times faster for some workloads, for reasonable memory cost. Overall, the significance of these findings is to demonstrate that moving data can be worthwhile in some in situ settings.
| Original language | English |
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| Title of host publication | Proceedings of ISAV 2019 |
| Subtitle of host publication | In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis |
| Publisher | Association for Computing Machinery |
| Pages | 29-33 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450377232 |
| DOIs | |
| State | Published - Nov 18 2019 |
| Event | 2019 Workshop In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2019 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019 - Denver, United States Duration: Nov 18 2019 → … |
Publication series
| Name | ACM International Conference Proceeding Series |
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Conference
| Conference | 2019 Workshop In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2019 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019 |
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| Country/Territory | United States |
| City | Denver |
| Period | 11/18/19 → … |
Funding
This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This research was supported by the Scientific Discovery through Advanced Computing(SciDAC) programof theU.S. Department of Energy. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This research was supported by the Scientific Discovery through Advanced Computing (SciDAC) program of the U.S. Department of Energy. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
Keywords
- In situ visualization, parallel particle advection