Hi! I am an Assistant Professor in the Department of Computer Science and Engineering, University of California, Riverside. I received my Ph.D. in Computer Science from the University of Pittsburgh, where I was advised by Dr. Xulong Tang. I earned my B.E. and M.S. degrees from the College of Intelligence and Computing at Tianjin University in 2017 and 2020, respectively.
My research spans advanced computer architectures, high-performance computing, and emerging parallel applications, with a particular emphasis on the GPU ecosystem from architecture to application. I design architectures and system features for next-generation GPU platforms, enabling and supporting emerging large-scale applications on both single- and multi-GPU platforms. I am also actively working on building high-performance LLM infrastructure and systems.
Prospective Students: I am always looking for self-motivated Ph.D. students. Feel free to contact me at bingyaol@ucr.edu with CV and transcript.
Updates
- 03/2026 One paper is accepted by ISCA 2026!
- 11/2024 One paper is accepted by HPCA 2025. Thanks to all collaborators!
- 07/2024 One paper is accepted by MICRO 2024. Thanks to all collaborators!
- 06/2024 Gave a talk on "Towards Efficient and Salable Computing for Multi-GPUs" at NVIDIA.
- 05/2024 Start intern at NVIDIA Architecture Research Group.
- 10/2023 One paper is accepted by HPCA 2024. Thanks to all collaborators!
- 07/2023 One paper is accepted by MICRO 2023. Thanks to all collaborators!
- 06/2023 Awarded the CS50 Outstanding Research Fellowship.
- 04/2023 Gave a talk on "Towards Efficient and Salable Computing for Multi-GPUs" at Tianjin University.
- 02/2023 One paper is accepted by DAC 2023. Thanks to all collaborators!
- 10/2022 One paper is accepted by HPCA 2023. Thanks to all collaborators!
- 04/2022 Awarded the CS50 Outstanding Research Fellowship.
- 07/2021 One paper is accepted by MICRO 2021. Thanks to all collaborators!