Daichi Fujiki - RankMe

42 papers A* 12A 1B 2C 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AQPIM: Breaking the PIM Capacity Wall for LLMs with in-Memory Activation Quantization. HPCA Kosuke Matsushima, Yasuyuki Okoshi, Masato Motomura, Daichi Fujiki
2026	J	`jnl`	Memory-Efficient and Trustworthy Neural Networks via Random Seed-Based Design. IEEE Access Hiroaki Ito, Hikari Otsuka, Ryota Yasudo, Zhiqiang Que, José Gabriel F. Coutinho, Daichi Fujiki, Masato Motomura, Ce Guo, Wayne Luk
2026	A*	`conf`	The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms. AAAI Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025	J	`jnl`	AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size. CoRR Guanxi Lu, Hao Mark Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan
2025	A*	`conf`	BingoGCN: Towards Scalable and Efficient GNN Acceleration with Fine-Grained Partitioning and SLT. ISCA Jiale Yan, Hiroaki Ito, Yuta Nagahara, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki
2025	J	`jnl`	DMSA: An Efficient Architecture for Sparse-Sparse Matrix Multiplication Based on Distribute-Merge Product Dataflow. IEEE Trans. Very Large Scale Integr. Syst. Yuta Nagahara, Jiale Yan, Kazushi Kawamura, Daichi Fujiki, Masato Motomura, Thiem Van Chu
2025	J	`jnl`	DX100: A Programmable Data Access Accelerator for Indirection. CoRR 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
2025	A*	`conf`	DX100: Programmable Data Access Accelerator for Indirection. ISCA 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
2025	A*	`conf`	Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing. HPCA Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2025	J	`jnl`	Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing. CoRR Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2025	J	`jnl`	Partially Frozen Random Networks Contain Compact Strong Lottery Tickets. Trans. Mach. Learn. Res. Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025	J	`jnl`	SharK: Enabling High-Performance Range Queries in Key-Value Store Through Vlog Resharding. IEEE Access Naoto Sugiura, Daichi Fujiki
2025	—	`conf`	TTF-GNN: Memory-Efficient GNNs via Tensor Train Decomposition and Network Folding. COOL CHIPS Hiroaki Ito, Jiale Yan, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki
2025	J	`jnl`	The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms. CoRR Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025	J	`jnl`	TicketLLM: Next-Generation Sparse and Low-bit Transformers with Supermask-based Method. Trans. Mach. Learn. Res. Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura
2025	J	`jnl`	Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning. Trans. Mach. Learn. Res. Hiroaki Ito, Jiale Yan, Hikari Otsuka, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki
2025	J	`jnl`	WhiteDwarf: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration. IEEE Access Ángel López García-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024	—	`conf`	Exploiting N:M Sparsity in Quantized-Folded ResNets: Signed Multicoat Supermasks and Iterative Pruning-Quantization. CANDAR Akihiro Shioda, Ángel López García-Arias, Hikari Otsuka, Yuki Ichikawa, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024	B	`conf`	OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration. ASPDAC Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka
2024	J	`jnl`	Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket. CoRR Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2024	J	`jnl`	Restricted Random Pruning at Initialization for High Compression Range. Trans. Mach. Learn. Res. Hikari Otsuka, Yasuyuki Okoshi, Ángel López García-Arias, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024	—	`conf`	The Case for Coherence Directories in Memory Cubes. MCSoC Yuki Kameyama, Naoya Niwa, Daichi Fujiki, Hiroki Matsutani, Michihiro Koibuchi, Hideharu Amano
2024	—	`conf`	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. A-SSCC Yasuyuki Okoshi, Ángel López García-Arias, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Thiem Van Chu, Kazushi Kawamura, Daichi Fujiki, Masato Motomura
2023	J	`jnl`	HALO-CAT: A Hidden Network Processor with Activation-Localized CIM Architecture and Layer-Penetrative Tiling. CoRR Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka
2023	A*	`conf`	MVC: Enabling Fully Coherent Multi-Data-Views through the Memory Hierarchy with Processing in Memory. MICRO Daichi Fujiki
2023	J	`jnl`	OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration. CoRR Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka
2023	—	`conf`	Vector-Processing for Mobile Devices: Benchmark and Analysis. IISWC Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2023	J	`jnl`	Vector-Processing for Mobile Devices: Benchmark and Analysis. CoRR Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2022	—	`—`	In-Memory Acceleration for General Data Parallel Applications Daichi Fujiki
2022	A*	`conf`	Multi-Layer In-Memory Processing. MICRO Daichi Fujiki, Alireza Khadem, Scott A. Mahlke, Reetuparna Das
2021	J	`jnl`	A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array. IEEE J. Solid State Circuits Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw
2021	—	`book`	In-/Near-Memory Computing Daichi Fujiki, Xiaowei Wang, Arun Subramaniyan, Reetuparna Das
2020	—	`conf`	A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array. CICC Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw
2020	A*	`conf`	SeedEx: A Genome Sequencing Accelerator for Optimal Alignments in Subminimal Space. MICRO Daichi Fujiki, Shunhao Wu, Nathan Ozog, Kush Goliya, David T. Blaauw, Satish Narayanasamy, Reetuparna Das
2019	A*	`conf`	Duality cache for data parallel acceleration. ISCA Daichi Fujiki, Scott A. Mahlke, Reetuparna Das
2019	A	`conf`	Near-memory data transformation for efficient sparse matrix multi-vector multiplication. SC Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
2018	—	`conf`	AxNoC: Low-power Approximate Network-on-Chips using Critical-Path Isolation. NOCS Akram Ben Ahmed, Daichi Fujiki, Hiroki Matsutani, Michihiro Koibuchi, Hideharu Amano
2018	A*	`conf`	GenAx: A Genome Sequencing Accelerator. ISCA Daichi Fujiki, Arun Subramaniyan, Tianjun Zhang, Yu Zeng, Reetuparna Das, David T. Blaauw, Satish Narayanasamy
2018	A*	`conf`	In-Memory Data Parallel Processor. ASPLOS Daichi Fujiki, Scott A. Mahlke, Reetuparna Das
2017	A*	`conf`	High-Bandwidth Low-Latency Approximate Interconnection Networks. HPCA Daichi Fujiki, Kiyo Ishii, Ikki Fujiwara, Hiroki Matsutani, Hideharu Amano, Henri Casanova, Michihiro Koibuchi
2017	B	`conf`	In-memory Data Flow Processor. PACT Daichi Fujiki, Scott A. Mahlke, Reetuparna Das
2016	C	`conf`	Randomizing Packet Memory Networks for Low-Latency Processor-Memory Communication. PDP Daichi Fujiki, Hiroki Matsutani, Michihiro Koibuchi, Hideharu Amano