Daichi Fujiki

According to our database, Daichi Fujiki authored at least 40 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Context Memorization for Efficient Long Context Generation.

Yasuyuki Okoshi, Hao Mark Chen, Guanxi Lu, Hongxiang Fan, Masato Motomura, Daichi Fujiki

CoRR, May, 2026

Memory-Efficient and Trustworthy Neural Networks via Random Seed-Based Design.

Hiroaki Ito, Hikari Otsuka, Ryota Yasudo, Zhiqiang Que, José Gabriel F. Coutinho, Daichi Fujiki, Masato Motomura, Ce Guo, Wayne Luk

IEEE Access, 2026

Efficient Vision Transformers via Token Merging with Head-Wise Attention Correction.

Yuki Ichikawa, Masato Motomura, Thiem Van Chu, Daichi Fujiki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

AQPIM: Breaking the PIM Capacity Wall for LLMs with in-Memory Activation Quantization.

Kosuke Matsushima, Yasuyuki Okoshi, Masato Motomura, Daichi Fujiki

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

A 22nm Continual Learning Accelerator for Autonomous Systems with 69.2TOPS/W Dynamic-Sparse-Weight-Updat and Dual-Mode Vector-Scaled-INT4 Processing.

Junnosuke Suzuki, Takuma Ishibashi, Hikari Otsuka, Yasuyuki Okoshi, Kota Ando, Daichi Fujiki, Masato Motomura

Proceedings of the IEEE Custom Integrated Circuits Conference, 2026

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms.

Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size.

Guanxi Lu, Hao Mark Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan

CoRR, September, 2025

DMSA: An Efficient Architecture for Sparse-Sparse Matrix Multiplication Based on Distribute-Merge Product Dataflow.

Yuta Nagahara, Jiale Yan, Kazushi Kawamura, Daichi Fujiki, Masato Motomura, Thiem Van Chu

IEEE Trans. Very Large Scale Integr. Syst., July, 2025

Partially Frozen Random Networks Contain Compact Strong Lottery Tickets.

Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

Trans. Mach. Learn. Res., 2025

TicketLLM: Next-Generation Sparse and Low-bit Transformers with Supermask-based Method.

Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura

Trans. Mach. Learn. Res., 2025

Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning.

Hiroaki Ito, Jiale Yan, Hikari Otsuka, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki

Trans. Mach. Learn. Res., 2025

SharK: Enabling High-Performance Range Queries in Key-Value Store Through Vlog Resharding.

Naoto Sugiura, Daichi Fujiki

IEEE Access, 2025

WhiteDwarf: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration.

Ángel López García-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

IEEE Access, 2025

BingoGCN: Towards Scalable and Efficient GNN Acceleration with Fine-Grained Partitioning and SLT.

Jiale Yan, Hiroaki Ito, Yuta Nagahara, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

DX100: Programmable Data Access Accelerator for Indirection.

Alireza Khadem, Kamalavasan Kamalakkannan, Zhenyan Zhu, Akash Poptani, Yufeng Gu, Jered Benjamin Dominguez-Trujillo, Nishil Talati, Daichi Fujiki, Scott A. Mahlke, Galen M. Shipman, Reetuparna Das

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing.

Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott A. Mahlke, Reetuparna Das

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

TTF-GNN: Memory-Efficient GNNs via Tensor Train Decomposition and Network Folding.

Hiroaki Ito, Jiale Yan, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki

Proceedings of the IEEE Symposium on Low-Power and High-Speed Chips and Systems, 2025

2024

Restricted Random Pruning at Initialization for High Compression Range.

Hikari Otsuka, Yasuyuki Okoshi, Ángel López García-Arias, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

Trans. Mach. Learn. Res., 2024

Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket.

Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

CoRR, 2024

The Case for Coherence Directories in Memory Cubes.

Yuki Kameyama, Naoya Niwa, Daichi Fujiki, Hiroki Matsutani, Michihiro Koibuchi, Hideharu Amano

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Exploiting N:M Sparsity in Quantized-Folded ResNets: Signed Multicoat Supermasks and Iterative Pruning-Quantization.

Akihiro Shioda, Ángel López García-Arias, Hikari Otsuka, Yuki Ichikawa, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

Proceedings of the Twelfth International Symposium on Computing and Networking, 2024

WhiteDwarf: 12.24 TFLOPS/W 40 nm Versatile Neural Inference Engine for Ultra-Compact Execution of CNNs and MLPs Through Triple Unstructured Sparsity Exploitation and Triple Model Compression.

Yasuyuki Okoshi, Ángel López García-Arias, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Thiem Van Chu, Kazushi Kawamura, Daichi Fujiki, Masato Motomura

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2024

OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration.

Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

HALO-CAT: A Hidden Network Processor with Activation-Localized CIM Architecture and Layer-Penetrative Tiling.

Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka

CoRR, 2023

MVC: Enabling Fully Coherent Multi-Data-Views through the Memory Hierarchy with Processing in Memory.

Daichi Fujiki

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Vector-Processing for Mobile Devices: Benchmark and Analysis.

Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022

In-Memory Acceleration for General Data Parallel Applications

Daichi Fujiki

PhD thesis, 2022

Multi-Layer In-Memory Processing.

Daichi Fujiki, Alireza Khadem, Scott A. Mahlke, Reetuparna Das

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021

In-/Near-Memory Computing

Daichi Fujiki, Xiaowei Wang, Arun Subramaniyan, Reetuparna Das

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01772-8, 2021

A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array.

Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw

IEEE J. Solid State Circuits, 2021

2020

SeedEx: A Genome Sequencing Accelerator for Optimal Alignments in Subminimal Space.

Daichi Fujiki, Shunhao Wu, Nathan Ozog, Kush Goliya, David T. Blaauw, Satish Narayanasamy, Reetuparna Das

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array.

Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw

Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

2019

Near-memory data transformation for efficient sparse matrix multi-vector multiplication.

Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor

Proceedings of the International Conference for High Performance Computing, 2019

Duality cache for data parallel acceleration.

Daichi Fujiki, Scott A. Mahlke, Reetuparna Das

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

AxNoC: Low-power Approximate Network-on-Chips using Critical-Path Isolation.

Akram Ben Ahmed, Daichi Fujiki, Hiroki Matsutani, Michihiro Koibuchi, Hideharu Amano

Proceedings of the Twelfth IEEE/ACM International Symposium on Networks-on-Chip, 2018

GenAx: A Genome Sequencing Accelerator.

Daichi Fujiki, Arun Subramaniyan, Tianjun Zhang, Yu Zeng, Reetuparna Das, David T. Blaauw, Satish Narayanasamy

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

In-Memory Data Parallel Processor.

Daichi Fujiki, Scott A. Mahlke, Reetuparna Das

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

2017

High-Bandwidth Low-Latency Approximate Interconnection Networks.

Daichi Fujiki, Kiyo Ishii, Ikki Fujiwara, Hiroki Matsutani, Hideharu Amano, Henri Casanova, Michihiro Koibuchi

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

In-memory Data Flow Processor.

Daichi Fujiki, Scott A. Mahlke, Reetuparna Das

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Randomizing Packet Memory Networks for Low-Latency Processor-Memory Communication.

Daichi Fujiki, Hiroki Matsutani, Michihiro Koibuchi, Hideharu Amano

Proceedings of the 24th Euromicro International Conference on Parallel, 2016