Stabilized and Regularized Semi-Lagrangian Meshfree Method for Fragment-Contact-Impact Problems Ğxploiting mixed precision for performance.
Ěutomatically tuned application software.Redesign of software to fit multicore and hybrid architectures.We will look at five areas of research that will have an importance impact in the development of software and algorithms. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile-time and run-time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run-time environment variability will make these problems much harder. These changes have had and will continue to have a major impact on our software. In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. Jack Dongarra : University of Tennessee, Oak Ridge National Laboratory, University of Manchester Some considerations on high performance computational mechanics.Īlgorithmic and Software Challenges when Moving Towards Exascale. Technologies implemented in the K computer and beyond. ― Computational and Reduced Order Models － Modal Analysis of Fluid Structure Interaction Problems. Stabilized and Regularized Semi-Lagrangian Meshfree Method for Fragment-Contact-Impact Problems. On the Future of High Performance Computing: How to Think for Peta and Exascale Computing. CMD(Computational Mechanics Division), JSME(Japan Society of Mechanical Engineers)
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