Mert is a postdoctoral scholar at Stanford University. His research is at the intersection of algorithms, architecture, and software for solving large-scale problems on supercomputers. His work focuses on optimizing communications between GPUs, especially on hierarchical systems involving multi-GPU nodes. Mert recently obtained PhD in electrical and computer engineering at the University of Illinois at Urbana-Champaign. He was a Givens fellow with Argonne National Laboratory and a member of IBM-Illinois Center for Cognitive Computing Research.

Honors & Awards

  • George Michael Memorial HPC Fellowship, ACM / IEEE-CS (2021)
  • Graph Challenge Champion (leading author), MIT / Amazon / IEEE (2020)
  • SC20 Best Paper Award (leading author), ACM / IEEE (2020)
  • Givens Fellowship, Argonne National Laboratory, DOE (2018)

Boards, Advisory Committees, Professional Organizations

  • PC Member - Programming Models, 37th IEEE Parallel and Distributed Processing Symposium (IPDPS'23) (2022 - Present)

Professional Education

  • Bachelor of Science, Bilkent University (2013)
  • Master of Science, Bilkent University (2015)
  • Doctor of Philosophy, University of Illinois at Urbana Champaign (2022)

Stanford Advisors

Current Research and Scholarly Interests

Parallel processing, fast algorithms, inverse problems, programming models.

Lab Affiliations

  • Alex Aiken, Computer Science Department (8/16/2022)