jie.ren

Jie Ren

Ph.D. student in Computer Science
King Abdullah University of Science and Technology

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Portrait of Jie Ren

About & research

I am a Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. David E. Keyes. I received my B.Eng. in Electronics Engineering from Xidian University, China, in 2021.

My research focuses on the co-design of numerical algorithms and modern heterogeneous architectures. I study sparse factorizations, finite element methods, GPU scheduling, and architecture-aware kernel design, with an emphasis on reformulating classical numerical methods for extreme parallelism. My work spans high-performance scientific computing and machine learning systems, with publications at SC, NeurIPS, ICML, ICS, and ECCV, and has been recognized by the ACM/IEEE-CS George Michael Memorial High Performance Computing Fellowship and a Gordon Bell Prize Finalist distinction.

I have deep expertise in NVIDIA GPU architecture and have made open-source contributions to projects including CUTLASS and PyTorch. I have held research positions at Baidu (ERNIE Star), NVIDIA Research, ETH Zürich (HiPEAC Grant), University of Edinburgh, and MEGVII Inc.

News

  • September 2026I received the ACM/IEEE-CS George Michael Memorial High Performance Computing Fellowship.
  • September 2026I was invited to participate in Dagstuhl Seminar 26392.
  • April 2026I was selected as one of the 200 Young Researchers worldwide to attend the 13th Heidelberg Laureate Forum (HLF).
  • April 2026One paper was accepted to the International Conference on Supercomputing (ICS) 2026.
  • September 2025One paper was accepted to the Conference on Neural Information Processing Systems (NeurIPS) 2025.
Earlier news
  • July 2025One paper was accepted to the Conference on Language Modeling (COLM) 2025.
  • June 2025One paper was accepted to the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025.
  • May 2025I was selected as a Baidu ERNIE Star (「文心·新星」顶尖技术人才计划) and began my internship at Baidu, China.
  • February 2025One paper was accepted to the International Supercomputing Conference (ISC High Performance) 2025.
  • September 2024One paper was accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.
  • July 2024I started an internship at NVIDIA Research, US.
  • July 2024One paper was selected as a Gordon Bell Prize Finalist at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2024.
  • June 2024I received the KAUST Dean's Award for Fall 2024.
  • November 2023One paper was accepted to the Journal of Machine Learning Research (JMLR).
  • September 2023I enrolled in the MS/PhD program at KAUST, Saudi Arabia.

Honors & awards

  • ACM/IEEE-CS George Michael Memorial High Performance Computing Fellowship (2026)
  • Gordon Bell Prize Finalist, SC (2024)
  • KAUST Dean's Award (2024)
  • 1st Place, ISC Student Cluster Competition Coding Challenge (2024)
  • HiPEAC Travel & Collaboration Grant (2023)