Dr. Martin Kong

EDUCATION

Ph.D, Computer Science, Ohio State University, Columbus, OH.

MSc, Computer Science, Ohio State University, Columbus, OH.

MSc, Computer Science, Pontificia Universidad Catolica del Peru, Lima, Peru

BSc, Computer Engineering, Pontificia Universidad Catolica del Peru, Lima, Peru

EXPERIENCE

Assistant Computational Scientist, Computational Science Initiative, Brookhaven National Laboratory

Post-Doctoral Research Scholar, Department of Computer Science, Rice University

RESEARCH INTERESTS

High-performance computing, programming languages, compilers, domain specific computing, data-flow and task parallelism, programming models.

BIOGRAPHY

Dr. Kong graduated from the Ohio State University in 2016, where he was a member of the high-performance computing research laboratory. He was advised by Prof. Louis-Noël Pouchet and Prof. P. Sadayappan. Prior to joining OU, he spent two years as an Assistant Computational Scientist at the Computational Science Initiative in Brookhaven National Laboratory. Before that, he held a post-doctoral research position in Prof. Vivek Sarkar's Habanero research group in the Computer Science Department at Rice University.

Dr. Kong's work seeks to exploit synergies among programming languages, compilers, computer hardware and domain specific knowledge to attain high-performance in today's evolving complex computing systems. He is currently serving as a member of the Program Committee (PC) of LCPC'19 and ICPP'20, as well as co-chair of the Artifact Evaluation (AE) committee of Compiler Construction 2020 (CC'20)and AE PC member in PACT'19. He has served as reviewer in journals such as ACM TACO, ACM TOPC and IEEE TPDPS. He has also organized and chaired several workshops:

• The Optimization, Modeling, Analysis and Space Exploration Workshop (OMASE'19), co-located with CGO'19 (Washington DC, US)
• The Concurrent Collections Workshop 2018 at Stony Brook University
• The Programming Models and Algorithms Workshop (PMAW'18), co-located with IPDPS'18)
• The International Workshop on Polyhedral Compilation Techniques (IMPACT'18), co-located with HiPEAC'18 (Manchester, UK).

SELECTED PEER-REVIEWED PUBLICATIONS

Model-driven transformations for multi-and many-core CPUs.
• Martin Kong, Louis-Noel Pouchet
• Programming Languages Design and Implementation (PLDI)
• June, 2019

PIPES: a language and compiler for task-based programming on distributed-memory clusters
• Martin Kong, Louis-Noel Pouchet, P. Sadayappan, Vivek Sarkar
• The International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
• November, 2016

A framework for enhancing data reuse via associative reordering
• Kevin Stock, Martin Kong, Tobias Grosser, Louis-Noel Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan
• Programming Languages Design and Implementation (PLDI)
• June, 2014

When polyhedral transformations meet SIMD code generation
• Martin Kong, Richard Veras, Louis-Noel Pouchet, Franz Franchetti, P. Sadayappan
• Programming Languages Design and Implementation (PLDI)
• June, 2013