Jeffrey Hittinger is a Computational Scientist and Group Leader in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory where he works on numerical methods for computational plasma physics, adaptive mesh refinement, a posteriori error estimation, and multi-physics code and calculation verification. He studied Mechanical Engineering as an undergraduate at Lehigh University and attended the University of Michigan for his graduate studies, earning Master’s degrees in Aerospace Engineering and in Mathematics and his doctorate in Aerospace Engineering and Scientific Computing. Dr. Hittinger was a recipient of both the NSF Graduate Research and the DOE Computational Science Graduate Fellowships, and co-chaired the DOE Office of Science Advanced Science Computing Research Working Group that produced the report “Applied Mathematics Research for Exascale Computing”.
Why Exascale Computing Will Be Slightly Less Disruptive Than the Comet that Killed the Dinosaurs
4 pm, Mon., Nov. 9, 2015
2305 GGBL (Civil Eng)
The Cretaceous Period ended with a violent and sudden transition when an extraterrestrial impact wiped out and estimated three quarters of species on earth. Will the arrival of an exascale computer in the next decade be a similarly catastrophic event to the diverse ecosystem of algorithms for scientific computing? The move to exascale computing is expected to be disruptive due to significant changes in computer architectures. Computational scientists will need to address new challenges in extreme concurrency, limited memory, data locality, resilience, and overall system and software complexity. Advances in applied mathematics will be necessary to realize the full potential of these supercomputers, but will these advances be incremental changes to existing methods or will exascale computing require a substantial rethinking of how we compute? Will the transition to exascale be evolutionary or revolutionary? Reflecting on the findings of the DOE Advanced Scientific Computing Research Program Exascale Mathematics Working Group, Dr. Hittinger will provide his perspective on the path to exascale and the opportunities for new applied mathematics research that will enable exascale computing. In addition, he will present some recent results of his own research into algorithms for hyperbolic systems of conservation laws that will achieve better on-node performance and be resilient to soft errors on future architectures.
This work is performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-ABS-677603.
Co-sponsored by the U-M Department of Mechanical Engineering.