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In 2013 5th International Workshop on Software Engineering for Computational Science and Engineering (SE-CSE). The Software development process of FLASH, a multiphysics simulation code. International Journal of High Performance Computing Applications 28, 2(2014), 225–237.
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Evolution of FLASH, a multi-physics scientific simulation code for high-performance computing. Timmes, Natasha Vladimirova, and John Zuhone. Riley, Robert Rosner, Andrew Siegel, Noel T. Programming Abstractions for Orchestration of HPC Scientific Computing. Invited talk, RADR, co-located with IPDPS. Dynamic Resource Management, An Application Perspective. In TACC-Intel Highly Parallel Computing Symposium. Adding shared memory parallelism to FLASH for many-core architectures. The Astrophysical Journal 655 (February 2007), L93. The Laminar Flame Speedup by 22Ne Enrichment in White Dwarf Supernovae. High-Performance Reactive Fluid Flow Simulations Using Adaptive Mesh Refinement on Thousands of Processors. Association for Computing Machinery, New York, NY, USA, Article 9, 8 pages. In Practice and Experience in Advanced Research Computing (Boston, MA, USA) (PEARC ’21). Ookami: Deployment and Initial Experiences. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, PDPTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1, Hamid R. Scientific Applications on the Massively Parallel BG/L Machine. However, more work must be done to fully take advantage of the A64FX’s architectural features and produce a significant speedup for FLASH on Ookami. We found that FLASH readily ran with different compilers and MPI implementations, and showed the expected good scaling with no turning. We report on our results with different compilers and other software, along with our initial scaling results and attempts to utilize the A64FX’s SVE instructions and NUMA architecture. FLASH was one application in a larger effort to deploy Ookami it served as a test for different versions of newly installed software, and as a cornerstone for the FAQ page of the Ookami website.
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MPI) allowed the code to run with minimal modification. Our effort focused largely on running FLASH “right out of the box” to see which combinations of compilers and software implementations (e.g. We present initial experiences with running the community simulation code FLASH, developed at the University of Chicago for multi-scale multi-physics applications, on Ookami, a technology testbed featuring the A64FX processor developed by Fujitsu.