Steve Dai

1.0k citations

27 papers · 677 indexed · h-index 15

Hardware and Architecture top 1%
- Embedded Systems Design Techniques 19
- Parallel Computing and Optimization Techniques 16
Computational Mathematics
Computer Networks and Communications top 5%
- Interconnection Networks and Systems 13
Electrical and Electronic Engineering top 10%
- VLSI and FPGA Design Techniques 4
- Ferroelectric and Negative Capacitance Devices 4
- CCD and CMOS Imaging Sensors 3
- Advanced Memory and Neural Computing 3
Computer Vision and Pattern Recognition top 10%
- Advanced Neural Network Applications 5

Co-authors: Zhiru Zhang Gai Liu Ritchie Zhao Mingxing Tan Yuan Zhou Brucek Khailany Rangharajan Venkatesan William J. Dally
Cited by: Hardware and Architecture Computational Mathematics Computer Networks and Communications
Journals: IEEE Micro (2 papers)IEEE Journal of Solid-State Circuits (1 paper)ACM Transactions on Design Automation of Electronic Systems (1 paper)
Partner nations: United States Hong Kong Cayman Islands

In The Last Decade

Steve Dai

27 papers receiving 668 citations

Peers

Countries citing papers authored by Steve Dai

Since Specialization

Citations

This map shows the geographic impact of Steve Dai'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 Steve Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Dai more than expected).

Fields of papers citing papers by Steve Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Dai. 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 Steve Dai. The network helps show where Steve Dai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Steve Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steve Dai Line = papers co-authored together Steve Dai links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect ACM Transactions on Design Automation of Electronic Systems ·Nan Wu,Ye Conglin,Oleg S. Makarov,一成石堂,Steve Dai,Cong Hao,Cunxi Yu,Yuan Xie	2024	4
2	Efficient Transformer Inference with Statically Structured Sparse Attention Steve Dai,John Clark Gamble,Rangharajan Venkatesan,Brucek Khailany	2023	4
3	A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm IEEE Journal of Solid-State Circuits ·Ben Keller,Rangharajan Venkatesan,Steve Dai,Stephen G. Tell,Brian Zimmer,Charbel Sakr,William J. Dally,C. Thomas Gray,Brucek Khailany	2023	30
4	A 17–95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) ·Ben Keller,Rangharajan Venkatesan,Steve Dai,Stephen G. Tell,Brian Zimmer,William J. Dally,C. Thomas Gray,Brucek Khailany	2022	27
5	Clockwork: Resource-Efficient Static Scheduling for Multi-Rate Image Processing Applications on FPGAs Elisabeth Zschiedrich,Steve Dai,Pat Hanrahan	2021	6
6	Clockwork: Resource-Efficient Static Scheduling for Multi-Rate Image Processing Applications on FPGAs Elisabeth Zschiedrich,Steve Dai,Pat Hanrahan	2021	2
7	Accelerating Chip Design With Machine Learning IEEE Micro ·Brucek Khailany,Haoxing Ren,Steve Dai,Y.Q. Zhang,Ben Keller,Robert M. Kirby,Alicia Klinefelter,Rangharajan Venkatesan,Yanqing Zhang,Bryan Catanzaro,William J. Dally	2020	36
8	Improving Scalability of Exact Modulo Scheduling with Specialized Conflict-Driven Learning Steve Dai,Zhiru Zhang	2019	8
9	MAGNet: A Modular Accelerator Generator for Neural Networks Rangharajan Venkatesan,Yakun Sophia Shao,MichaelD Riggenbach,Jason Clemons,Steve Dai,Matthew Fojtik,Ben Keller,Alicia Klinefelter,Nathaniel Pinckney,Priyanka Raina,Yanqing Zhang,Brian Zimmer,William J. Dally,Joel Emer,Stephen W. Keckler,Brucek Khailany	2019	84
10	Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning Steve Dai,Yuan Zhou,Hang Zhang,Ecenur Ustun,Evangeline F. Y. Young,Zhiru Zhang	2018	77
11	Rosetta Yuan Zhou,Udit Gupta,Steve Dai,Ritchie Zhao,Nitish Srivastava,Hanchen Jin,Klaus-Peter Herm,Yi‐Hsiang Lai,Gai Liu,Z. Z. Chen,Wenping Wang,Zhiru Zhang	2018	84
12	High-level synthesis with timing-sensitive information flow enforcement Dong-Sheng Chi,Steve Dai,G. Edward Suh,Zhiru Zhang	2018	17
13	A Scalable Approach to Exact Resource-Constrained Scheduling Based on a Joint SDC and SAT Formulation Steve Dai,Gai Liu,Zhiru Zhang	2018	13
14	Architecture and Synthesis for Area-Efficient Pipelining of Irregular Loop Nests IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Gai Liu,Mingxing Tan,Steve Dai,Ritchie Zhao,Zhiru Zhang	2017	11
15	Dynamic Hazard Resolution for Pipelining Irregular Loops in High-Level Synthesis Steve Dai,Ritchie Zhao,Gai Liu,S Srinath,Udit Gupta,Christopher Batten,Zhiru Zhang	2017	29
16	Accelerating Face Detection on Programmable SoC Using C-Based Synthesis Nitish Srivastava,Steve Dai,Rajit Manohar,Zhiru Zhang	2017	14
17	Area-efficient pipelining for FPGA-targeted high-level synthesis Ritchie Zhao,Mingxing Tan,Steve Dai,Zhiru Zhang	2015	15
18	ElasticFlow: A complexity-effective approach for pipelining irregular loop nests Mingxing Tan,Gai Liu,Ritchie Zhao,Steve Dai,Zhiru Zhang	2015	32
19	Multithreaded pipeline synthesis for data-parallel kernels International Conference on Computer Aided Design ·Mingxing Tan,Bin Liu,Steve Dai,Zhiru Zhang	2014	14
20	Multithreaded pipeline synthesis for data-parallel kernels Mingxing Tan,Bin Liu,Steve Dai,Zhiru Zhang	2014	17

About Steve Dai

Steve Dai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 27 papers that have together received 677 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (19 papers), Parallel Computing and Optimization Techniques (16 papers), Interconnection Networks and Systems (13 papers), Advanced Neural Network Applications (5 papers), VLSI and FPGA Design Techniques (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), CCD and CMOS Imaging Sensors (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Hardware and Architecture (486 citations), Computational Mathematics (8 citations) and Computer Networks and Communications (240 citations). Steve Dai has collaborated with scholars based in United States, Hong Kong and Cayman Islands. Frequent co-authors include Zhiru Zhang, Gai Liu, Ritchie Zhao, Mingxing Tan, Yuan Zhou, Brucek Khailany, Rangharajan Venkatesan, William J. Dally, Ben Keller and Udit Gupta. Their work appears in journals such as IEEE Micro, IEEE Journal of Solid-State Circuits, ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Computers and IEEE Transactions on Computer-Aided Design of Integrated Circuits and 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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