Junnosuke Suzuki

According to our database, Junnosuke Suzuki authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pianissimo: A Sub-mW Class DNN Accelerator With Progressively Adjustable Bit-Precision.

Junnosuke Suzuki, Jaehoon Yu, Mari Yasunaga, Ángel López García-Arias, Yasuyuki Okoshi, Shungo Kumazawa, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura

IEEE Access, 2024

High Throughput Datapath Design for Vision Permutator FPGA Accelerator.

Mari Yasunaga, Junnosuke Suzuki, Masato Watanabe, Kazushi Kawamura, Thiem Van Chu, Masato Motomura

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023

Pianissimo: A Sub-mW Class DNN Accelerator with Progressive Bit-by-Bit Datapath Architecture for Adaptive Inference at Edge.

Junnosuke Suzuki, Jaehoon Yu, Mari Yasunaga, Ángel López García-Arias, Yasuyuki Okoshi, Shungo Kumazawa, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

A Highly Accurate and Parallel Vision MLP FPGA Accelerator based on FP7/8 SIMD Operations.

Mari Yasunaga, Junnosuke Suzuki, Masato Watanabe, Kazushi Kawamura, Thiem Van Chu, Jaehoon Yu, Masato Motomura

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

2022

Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet.

Kazutoshi Hirose, Jaehoon Yu, Kota Ando, Yasuyuki Okoshi, Ángel López García-Arias, Junnosuke Suzuki, Thiem Van Chu, Kazushi Kawamura, Masato Motomura

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021

ProgressiveNN: Achieving Computational Scalability with Dynamic Bit-Precision Adjustment by MSB-first Accumulative Computation.

Junnosuke Suzuki, Tomohiro Kaneko, Kota Ando, Kazutoshi Hirose, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu

Int. J. Netw. Comput., 2021

2020

ProgressiveNN: Achieving Computational Scalability without Network Alteration by MSB-first Accumulative Computation.

Junnosuke Suzuki, Kota Ando, Kazutoshi Hirose, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu

Proceedings of the Eighth International Symposium on Computing and Networking, 2020