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Martin Kong joined Brookhaven National Laboratory (BNL) in July 2017 as an Assistant Computational Scientist in the Computational Science Initiative Department. His work focuses on compiler and runtime optimizations that enable performance portability of application codes, in particular, by using polyhedral compilation techniques. He obtained his PhD in Computer Science in 2016, from The Ohio State University, where he was advised by Prof. Sadayappan and Prof. Louis-Noël Pouchet. Prior to joining BNL, Dr. Kong was a Post-Doctoral Research Scholar in Prof. Vivek Sarkar’s Habanero Exascale group at Rice University. Dr. Kong co-chaired the 2018 polyhedral compilation workshop, IMPACT, held in Manchester, UK. He is also co-chairing the first Programming Models and Algorithms Workshop (PMAW) co-located with IPDPS’18, and co-organized the First Brookhaven National Laboratory KNL Hackathon (March 2018). He has served as a subreviewer, reviewer or PC member at multiple journals and conferences such as TACO, TOPC, and TPDS, iWomp, PLDI SRC, SC, among others.
Compiler Analysis and Optimization
Parallel Programming Languages, Libraries, Models and Notations