Keisuke Kamahori (釜堀 恵輔)

kamahori [at] uw.edu

Keisuke Kamahori is a first-year Ph.D. student at Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Baris Kasikci. He is broadly interested in computer systems and architecture, with a focus on system for LLMs recently. His Ph.D. study is generously supported by Toyota Riken Ph.D. Scholarship.

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

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

Publications

• 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]