Abstract
The Extreme-scale Simulator (xSim) is a performance investigation toolkit for high-performance computing (HPC) hardware/software co-design. It permits running a HPC application with millions of concurrent execution threads, while observing its performance in a simulated extreme-scale system. This paper details a newly developed network modeling feature for xSim, eliminating the shortcomings of the existing network modeling capabilities. The approach takes a different path for implementing network contention and bandwidth capacity modeling using a less synchronous and accurate enough model design. With the new network modeling feature, xSim is able to simulate on-chip and on-node networks with reasonable accuracy and overheads.
| Original language | English |
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| Title of host publication | Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2015 |
| Publisher | Acta Press |
| Pages | 139-146 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780889869752 |
| DOIs | |
| State | Published - 2015 |
| Event | 2015 IASTED International Conference on Modelling, Identification and Control, MIC 2015 - Innsbruck, Austria Duration: Feb 16 2015 → Feb 17 2015 |
Publication series
| Name | Proceedings of the IASTED International Conference on Modelling, Identification and Control |
|---|---|
| ISSN (Print) | 1025-8973 |
Conference
| Conference | 2015 IASTED International Conference on Modelling, Identification and Control, MIC 2015 |
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| Country/Territory | Austria |
| City | Innsbruck |
| Period | 02/16/15 → 02/17/15 |
Funding
This work was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL) and the U.S. Department of Energy's Office of Advanced Scientific Computing Research. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This work was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL) and the U.S. Department of Energy’s Office of Advanced Scientific Computing Research.
Keywords
- Computer network modeling
- High-performance computing
- Parallel discrete event simulation
- Performance evaluation