Keisuke Kamahori (釜堀 恵輔; he/him)

kamahori [at] uw.edu

I'm a second-year Ph.D. student at Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Baris Kasikci. I'm broadly interested in computer systems and architecture, with a focus on system for LLMs recently.
I'm also working at Kotoba Technologies, building audio foundation models.
My Ph.D. study is generously supported by Toyota Riken Ph.D. Scholarship.

Prior to that, I received B. Sc. in Information Science from the University of Tokyo in 2023, advised by Shinya Takamaeda-Yamazaki. I also worked with James Larus at EPFL in the summer of 2022.

[Google Scholar] [ORCID] [DBLP] [Linkedin]

Publications

• NanoFlow: Towards Optimal Large Language Model Serving Throughput
  Kan Zhu, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Yufei Gao, Qinyu Xu, Tian Tang, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
  arXiv preprint
  [arxiv] [code]
• Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
  Keisuke Kamahori, Yile Gu, Kan Zhu, Baris Kasikci
  PML4LRS @ ICLR2024
  [arxiv] [code]
• A 475 MHz FPGA Accelerator for RTL Simulation
  Sahand Kashani*, Mahyar Emami*, Keisuke Kamahori, Mohammad Sepehr Pourghannad, Ritik Raj, James R Larus
  FPGA2024
  [paper]
• Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism
  Mahyar Emami*, Sahand Kashani*, Keisuke Kamahori, Mohammad Sepehr Pourghannad, Ritik Raj, James R Larus
  ASPLOS2024
  [paper] [arxiv] [code]
• CiraaS: cloud computing with programmable logic
  Kenji Tanaka, Yuki Arikawa, Tsuyoshi Ito, Yuki Matsuda, Keisuke Kamahori, Shinya Kaji, Takeshi Sakamoto
  SIGCOMM2022 Poster
  [paper]
• Accelerating Decision Tree Ensemble with Guided Branch Approximation
  Keisuke Kamahori, Shinya Takamaeda-Yamazaki
  HEART2022
  [paper]