Eric S. Chung

4.7k citations
31 papers · 1.7k · 2 hit papers · h-index 16

Impact in

Papers in

Eric S. Chung

29 papers receiving 1.7k citations

Eric S. Chung's Hit Papers

A Configurable Cloud-Scale DNN Processor for Real-Time AI 2018 · 370 citations
3700+3+6Years since publication100200300

Peers

Eric S. Chung
Comparison fields: 5 of 79
  • Hardware and Architecture 977
  • Computer Networks and Communications 872
  • Computer Vision and Pattern Recognition 392
  • Computational Mathematics 9
  • Information Systems 266
Replace Srihari Cadambi with:
Srihari Cadambi United States
Rimas Avižienis United States
Kalin Ovtcharov Canada
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Jingwen Leng China
Ganesh Venkatesh United States
Jaewoong Sim United States
Paolo Faraboschi United States
Eriko Nurvitadhi United States
Adrian Sampson United States
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Citations per year

Countries citing papers authored by Eric S. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Chung. 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 Eric S. Chung. The network helps show where Eric S. Chung may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric S. Chung, 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 Eric S. Chung Line = papers co-authored together Eric S. Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Configurable Cloud-Scale DNN Processor for Real-Time AI
Hit paper breakdown →
2018370
2
A cloud-scale acceleration architecture
Hit paper breakdown →
2016318
3
Accelerating Deep Convolutional Neural Networks Using Specialized Hardware
2015203
4 2010174
5 2004102
6 201189
7 201377
8 200961
9 201460
10 201260
11 200834
12 201524
13 200722
14 201721
15
SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place
201218
16 201415
17 200514
18 20199
19 20109
20 20127

About Eric S. Chung

Eric S. Chung is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (24 papers), Embedded Systems Design Techniques (13 papers), Interconnection Networks and Systems (11 papers), Advanced Data Storage Technologies (6 papers), Advanced Memory and Neural Computing (5 papers), Cloud Computing and Resource Management (3 papers), Real-time simulation and control systems (3 papers) and Radiation Effects in Electronics (3 papers). The work is most often cited by research in Hardware and Architecture (977 citations), Computer Networks and Communications (872 citations), Computer Vision and Pattern Recognition (392 citations), Computational Mathematics (9 citations) and Information Systems (266 citations). Eric S. Chung has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include James C. Hoe, Ken Mai, Kalin Ovtcharov, Jeremy Fowers, Joo-Young Kim, John D. Davis, Michael Papamichael, Karin Strauß, Peter Milder and Sitaram Lanka. Their work appears in journals such as IEEE Micro, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Reconfigurable Technology and Systems, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Formal Methods.

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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