One paper is accepted to ASP-DAC 2024

One paper entitled “Sparse-Sparse Matrix Multiplication Accelerator on FPGA featuring Distribute-Merge Product Dataflow” has been accepted to ASP-DAC 2024. Our second-year master’s student Yuta Nagahara will give a presentation at the conference in January 22-25. Congratulations! ASP-DAC (held at South Korea)

One paper is accepted to MCSoC 2023

One paper entitled “A Highly Accurate and Parallel Vision MLP FPGA Accelerator based on FP7/8 SIMD Operations” has been accepted to MCSoC 2023. Our second-year master’s student Mari Yasunaga will give a presentation at the conference in December 18-21. Congratulations! MCSoC 2023 (held as a hybrid of onsite at Singapore Read more…

Presentation @ VLSI Symposium

We gave the following oral presentation at the Symposium on VLSI Technology and Circuits 2023, held in Rihga Royal Hotel Kyoto, Japan, from June 11 to June 16, 2023. Junnosuke Suzuki, Jaehoon Yu, Mari Yasunaga, Ángel López García-Arias, Yasuyuki Okoshi, Shungo Kumazawa, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Read more…

Presentation@IEEE COOL Chips 26

Genta Inoue gave an oral presentation, and Jiale Yan gave a poster presentation at the IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 26, held in Takeda Hall, The University of Tokyo, Japan. Genta Inoue, “Flexibly Controllable Dynamic Cooling Methods for Solid-State Annealing Processors to Improve Combinatorial Read more…

Presentation@IEEE ISSCC2023

Assistant Prof. Kawamura gave a presentation entitled “Amorphica: 4-Replica 512 Fully Connected Spin 336MHz Metamorphic Annealer with Programmable Optimization Strategy and Compressed-Spin-Transfer Multi-Chip Extension” in IEEE ISSCC 2023 held in San Francisco in the USA from Feb. 19th to 23rd. Also, in the demonstration session, Assistant Prof. Kawamura, Mr. Okonogi, Read more…

Research presentations @SIG-FPAI

Our first year Master’s student Mari Yasunaga and undergraduate student Akihiro Shioda gave presentations at SIG-FPAI on January 20, 2023. Mari Yasunaga: A Highly Accurate and Parallel NN FPGA Accelerator based on FP8 SIMD Operations Akihiro Shioda: Reinforcement Learning Method for Autonomous Driving based on Equivariant Networks