Daichi Fujiki

551 citations

21 papers · 396 indexed · h-index 9

Electrical and Electronic Engineering
Hardware and Architecture top 5%
Computer Networks and Communications top 10%
Artificial Intelligence top 10%
Molecular Biology

Co-authors: Reetuparna Das Scott Mahlke Satish Narayanasamy David Blaauw Arun Subramaniyan Tianjun Zhang Hideharu Amano Hiroki Matsutani
Topics: Parallel Computing and Optimization Techniques (11 papers)Advanced Memory and Neural Computing (8 papers)Advanced Data Storage Technologies (7 papers)
Cited by: Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering
Journals: IEEE Journal of Solid-State Circuits ACM SIGPLAN Notices IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Partner nations: United States Japan United Kingdom

In The Last Decade

Daichi Fujiki

18 papers receiving 386 citations

Peers

Countries citing papers authored by Daichi Fujiki

Since Specialization

Citations

This map shows the geographic impact of Daichi Fujiki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daichi Fujiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichi Fujiki more than expected).

Fields of papers citing papers by Daichi Fujiki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daichi Fujiki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daichi Fujiki. The network helps show where Daichi Fujiki may publish in the future.

Co-authorship network of co-authors of Daichi Fujiki

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Fujiki. A scholar is included among the top collaborators of Daichi Fujiki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daichi Fujiki. Daichi Fujiki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	DMSA: An Efficient Architecture for Sparse–Sparse Matrix Multiplication Based on Distribute-Merge Product Dataflow 2025 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·(unknown),(unknown),Kazushi Kawamura,Daichi Fujiki,Masato Motomura,(unknown)	0
2	Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing 2025 ·(unknown),Daichi Fujiki,(unknown),(unknown),Nishil Talati,Scott Mahlke,Reetuparna Das	0
3	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 2024 ·(unknown),(unknown),(unknown),Jun Suzuki,(unknown),(unknown),(unknown),Daichi Fujiki,Masato Motomura	0
4	OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration 2024 ·(unknown),(unknown),Daichi Fujiki,Shinya Takamaeda-Yamazaki,Kentaro Yoshioka	4
5	MVC: Enabling Fully Coherent Multi-Data-Views through the Memory Hierarchy with Processing in Memory 2023 ·Daichi Fujiki	1
6	Vector-Processing for Mobile Devices: Benchmark and Analysis 2023 ·(unknown),Daichi Fujiki,Nishil Talati,Scott Mahlke,Reetuparna Das	2
7	Multi-Layer In-Memory Processing 2022 ·Daichi Fujiki,(unknown),Scott Mahlke,Reetuparna Das	6
8	In-/Near-Memory Computing 2021 ·Daichi Fujiki,Xiaowei Wang,Arun Subramaniyan,Reetuparna Das	10
9	In-/Near-Memory Computing 2021 ·Daichi Fujiki,Xiaowei Wang,Arun Subramaniyan,Reetuparna Das	7
10	A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array 2020 ·IEEE Journal of Solid-State Circuits ·Zhehong Wang,Tianjun Zhang,Daichi Fujiki,Arun Subramaniyan,Xiao Wu,Makoto Yasuda,Satoru Miyoshi,(unknown),Reetuparna Das,Satish Narayanasamy,David Blaauw	1
11	SeedEx: A Genome Sequencing Accelerator for Optimal Alignments in Subminimal Space 2020 ·Daichi Fujiki,(unknown),(unknown),(unknown),David Blaauw,Satish Narayanasamy,Reetuparna Das	37
12	A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array 2020 ·Zhehong Wang,Tianjun Zhang,Daichi Fujiki,Arun Subramaniyan,Xiao Wu,Makoto Yasuda,Satoru Miyoshi,(unknown),Reetuparna Das,Satish Narayanasamy,David Blaauw	3
13	Duality cache for data parallel acceleration 2019 ·Daichi Fujiki,Scott Mahlke,Reetuparna Das	68
14	Near-memory data transformation for efficient sparse matrix multi-vector multiplication 2019 ·Daichi Fujiki,Niladrish Chatterjee,Donghyuk Lee,Mike O’Connor	17
15	AxNoC: Low-power Approximate Network-on-Chips using Critical-Path Isolation 2018 ·Akram Ben Ahmed,Daichi Fujiki,Hiroki Matsutani,Michihiro Koibuchi,Hideharu Amano	25
16	In-Memory Data Parallel Processor 2018 ·Daichi Fujiki,Scott Mahlke,Reetuparna Das	81
17	GenAx: A Genome Sequencing Accelerator 2018 ·Daichi Fujiki,Arun Subramaniyan,Tianjun Zhang,(unknown),Reetuparna Das,David Blaauw,Satish Narayanasamy	65
18	In-Memory Data Parallel Processor 2018 ·ACM SIGPLAN Notices ·Daichi Fujiki,Scott Mahlke,Reetuparna Das	44
19	High-Bandwidth Low-Latency Approximate Interconnection Networks 2017 ·Daichi Fujiki,Kiyo Ishii,Ikki Fujiwara,Hiroki Matsutani,Hideharu Amano,Henri Casanova,Michihiro Koibuchi	16
20	Randomizing Packet Memory Networks for Low-Latency Processor-Memory Communication 2016 ·Daichi Fujiki,Hiroki Matsutani,Michihiro Koibuchi,Hideharu Amano	3

About Daichi Fujiki

Daichi Fujiki is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 21 papers that have together received 396 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Memory and Neural Computing (8 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (171 citations), Computer Networks and Communications (146 citations) and Electrical and Electronic Engineering (207 citations). Daichi Fujiki has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Reetuparna Das, Scott Mahlke, Satish Narayanasamy, David Blaauw, Arun Subramaniyan, Tianjun Zhang, Hideharu Amano, Hiroki Matsutani, Michihiro Koibuchi and Akram Ben Ahmed. Their work appears in journals such as IEEE Journal of Solid-State Circuits, ACM SIGPLAN Notices and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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