For his project "Scalable Algorithms for Dynamic Large-Scale Systems."Scroll Up
Jonathan Lifflander is a fifth-year PhD candidate in Computer Science at the University of Illinois, advised by Laxmikant V. Kale. He researches scalable parallel algorithms in the context of dynamic behavior that lead to highly unstructured mappings: load imbalances in irregular applications, hard system faults, scheduling polices such as work stealing and energy and power constraints. These algorithms are demonstrated to be effective on modern supercomputers, reaching beyond 100K cores.
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