Scalable Simulation of Electromagnetic Hybrid Codes

Conference · Sun Jan 01 00:00:00 EST 2006

DOI:https://doi.org/10.1007/11758525_6· OSTI ID:930719

Perumalla, Kalyan S ^[1]; Fujimoto, Richard ^[1]; Karimabadi, Dr. Homa ^[2]

---

1. ORNL
2. SciberQuest Inc.

New discrete-event formulations of physics simulation models are emerging that can outperform models based on traditional time-stepped techniques. Detailed simulation of the Earth's magnetosphere, for example, requires execution of sub-models that are at widely differing timescales. In contrast to time-stepped simulation which requires tightly coupled updates to entire system state at regular time intervals, the new discrete event simulation (DES) approaches help evolve the states of sub-models on relatively independent timescales. However, parallel execution of DES-based models raises challenges with respect to their scalability and performance. One of the key challenges is to improve the computation granularity to offset synchronization and communication overheads within and across processors. Our previous work was limited in scalability and runtime performance due to the parallelization challenges. Here we report on optimizations we performed on DES-based plasma simulation models to improve parallel performance. The net result is the capability to simulate hybrid particle-in-cell (PIC) models with over 2 billion ion particles using 512 processors on supercomputing platforms.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 930719
• Resource Relation: Journal Volume: 3992; Conference: International Conference on Computational Science, Reading, United Kingdom, 20060528, 20060531
• Country of Publication: United States
• Language: English