2023 IEEE-CS TCHPC Award Winners

LOS ALAMITOS, Calif., 6 September 2023

IEEE Computer Society (IEEE-CS) selects Johannes Doerfert from Lawrence Livermore National Laboratory, Wenqian Dong from Florida International University, and Prashant Pandey from University of Utah, as 2023 winners of the IEEE-CS Technical Community on High Performance Computing (TCHPC) Early Career Researchers Award for Excellence in High Performance Computing.

Dr. Johannes Doerfert is a computer scientist at Lawrence Livermore National Laboratory interested in new and exciting uses for compiler technologies. He received his Ph.D. from Saarland University in 2018 and worked at Argonne National Laboratory until 2022. Johannes is the recipient of a DOE Early Career Research Project grant and a Better Scientific Software fellowship. His goal is to help people exploit machines to the fullest without requiring them to become experts in the hardware or software stack. To this end, Johannes develops tools and compiler enhancements that simplify the tedious task of writing portable high performance software. His research and development is integrated into the open-source LLVM compiler framework where he is the code owner for OpenMP offload. During the Exascale Computing Project (ECP), Johannes worked on three subprojects, PROTEAS-TUNE, SOLLVE, and Flang, combining his compiler and OpenMP expertise to deliver portable exascale performance via open source software.

Dr. Wenqian Dong is an assistant professor in the KFSCIS department at Florida International University (FIU). She earns her Ph.D. in EECS at the University of California, Merced, in Spring 2022. Her research focuses on three main areas. She has contributed significantly to scientific machine learning, particularly in using machine learning to speed up HPC applications. Her work is showcased in conferences like SC’19 and SC’20. Wenqian has excelled in automatic machine learning, concentrating on creating machine learning models for HPC applications. Her papers in VLDB’21, HPDC’23, and ASPLOS’22 highlight her notable contributions. She’s skilled in optimizing system performance, aiming to enhance HPC applications’ quality and efficiency through system optimization. Her work presented at conferences like ICS’21, Eurosys’21, ICPP’18, and Parallel Computing’23 illustrates her dedication to this field. Her work has generated real impacts in the HPC community. For example, her work on power grid simulation using ML leads to 3.28 times performance improvement and highlighted Newswise as a DOE science innovation. Furthermore, Wenqian is committed to enrich the HPC community. Her commitment is apparent in her various roles as an organizer for the MLBench’23 workshop, and as a member of the Technical Program Committee (TPC) for the IEEE Cloud 2023, IEEE Cluster 2023, AI4Science 2022 workshop, and the GPGPU 2023 workshop.

Dr. Prashant Pandey is an Assistant Professor of Computer Science in the Kahlert School of Computing at the University of Utah. Previously, he did postdocs at UC Berkeley and Carnegie Mellon University. He received his Ph.D. in Computer Science from Stony Brook University in 2018. His research interests lie in advancing the theory and practice of resource-efficient data structures and employing them to democratize complex and large-scale data analyses. His research is inter-disciplinary as he has built multiple large-scale data management tools across computational biology, cybersecurity, and storage. He has published more than 30 papers in top conferences across databases [SIGMOD, VLDB], parallel and high-performance computing [PPOPP, IPDPS, SPAA], computational biology [RECOMB, ISMB, Cell Systems, Genome Biology], and systems [FAST]. His work on high-performance data structures has been employed by several applications across industry and academia, including MetaHipMer, an exascale metagenome assembler designed to scale out to thousands of nodes.

The IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing is sponsored by the IEEE-CS Technical Community on High Performance Computing (TCHPC) and its member Technical Committees:

  • Technical Committee on Parallel Processing (TCPP)
  • Technical Committee on Computer Communications (TCCC)
  • Technical Committee on Distributed Processing (TCDP)
  • Technical Committee on Cloud Computing (TCCLD)
  • Task Force on Rebooting Computing (TFRC)
  • Technical Committee on Computational Life Sciences (TCCLS).

The TCHPC Award recognizes up to three individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing within five years of receiving their Ph.D. degree as of January 1 of the year of the award.

Awardees will be presented with a plaque and will be recognized by IEEE Computer Society’s TCHPC and SC23 websites, newsletters, and archives. They will receive complimentary technical program registration, hotel accommodation at SC23 as well as complimentary IEEE/IEEE CS membership for one year.

IEEE-CS will present the awards at SC23 in in Denver, Colorado USA during November 12–17, 2023. Full information about the conference can be found at https://sc23.supercomputing.org/.

For more details, visit the official IEEE-CS TCHPC page at http://tc.computer.org/tchpc/home-page/page-of-awards/.

For information about all IEEE-CS awards, visit http://www.computer.org/awards.