kamahori [at] uw.edu

I'm a third-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 systems for LLMs. Recently, I have been working on VoxServe, a serving system for speech language models.
I also spend some time at Kotoba Technologies, where I am building the serving system behind the world's fastest simultaneous translation app.
I'm honored to be a recipient of the Toyota Riken Ph.D. Scholarship (2023-2025).

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] [X]

Publications

• Efficient Serving of SpeechLMs with VoxServe
  Keisuke Kamahori, Baris Kasikci
  blog post
  
• DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems
  Rohan Kadekodi, Zhan Jin, Keisuke Kamahori, Yile Gu, Sean Khatiri, Noah H. Bayindirli, Sergey Gorbunov, Baris Kasikci
  arXiv preprint
  
• ConsumerBench: Benchmarking Generative AI Applications on End-User Devices
  Yile Gu, Rohan Kadekodi, Hoang Nguyen, Keisuke Kamahori, Yiyu Liu, Baris Kasikci
  arXiv preprint
  
• LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation
  Keisuke Kamahori, Jungo Kasai, Noriyuki Kojima, Baris Kasikci
  EMNLP2025 Main
  
• TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval
  Chien-Yu Lin*, Keisuke Kamahori*, Yiyu Liu, Xiaoxiang Shi, Madhav Kashyap, Yile Gu, Rulin Shao, Zihao Ye, Kan Zhu, Stephanie Wang, Arvind Krishnamurthy, Rohan Kadekodi, Luis Ceze, Baris Kasikci
  arXiv preprint
  
• Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
  Keisuke Kamahori*, Tian Tang*, Yile Gu, Kan Zhu, Baris Kasikci
  ICLR2025 (PML4LRS @ ICLR2024)
  
• 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
  OSDI2025
  
• A 475 MHz FPGA Accelerator for RTL Simulation
  Sahand Kashani*, Mahyar Emami*, Keisuke Kamahori, Mohammad Sepehr Pourghannad, Ritik Raj, James R Larus
  FPGA2024
  
• 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
  
• CiraaS: cloud computing with programmable logic
  Kenji Tanaka, Yuki Arikawa, Tsuyoshi Ito, Yuki Matsuda, Keisuke Kamahori, Shinya Kaji, Takeshi Sakamoto
  SIGCOMM2022 Poster
  
• Accelerating Decision Tree Ensemble with Guided Branch Approximation
  Keisuke Kamahori, Shinya Takamaeda-Yamazaki
  HEART2022