Jason Clemons

1.6k total citations
21 papers, 758 citations indexed

About

Jason Clemons is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jason Clemons has authored 21 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Jason Clemons's work include CCD and CMOS Imaging Sensors (9 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jason Clemons is often cited by papers focused on CCD and CMOS Imaging Sensors (9 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jason Clemons collaborates with scholars based in United States, United Kingdom and Canada. Jason Clemons's co-authors include Stephen W. Keckler, Rangharajan Venkatesan, Joel Emer, Yakun Sophia Shao, Brucek Khailany, Brian Zimmer, Nathaniel Pinckney, Matthew Fojtik, Alicia Klinefelter and William J. Dally and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, ACM Transactions on Computer Systems and International Symposium on Microarchitecture.

In The Last Decade

Jason Clemons

21 papers receiving 740 citations

Peers

Countries citing papers authored by Jason Clemons

Since Specialization

Citations

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

Fields of papers citing papers by Jason Clemons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Clemons

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Clemons. A scholar is included among the top collaborators of Jason Clemons 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 Jason Clemons. Jason Clemons 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	Vision Transformer Computation and Resilience for Dynamic Inference 2024 ·(unknown), Jason Clemons, (unknown), Stephen W. Keckler, Mark Horowitz	1
2	Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing 2023 ·ACM Transactions on Computer Systems ·Michael Pellauer, Jason Clemons, (unknown), Neal Crago, Aamer Jaleel, Donghyuk Lee, Mike O’Connor, (unknown), Sean Treichler, Po-An Tsai, Stephen W. Keckler, Joel Emer	6
3	Augmenting Legacy Networks for Flexible Inference 2023 ·Jason Clemons, Iuri Frosio, (unknown), José M. Alvarez, Stephen W. Keckler	1
4	A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm 2020 ·IEEE Journal of Solid-State Circuits ·Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany	82
5	Buffets 2019 ·Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel Emer	64
6	A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm 2019 ·Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany	40
7	A 0.11 PJ/OP, 0.32-128 Tops, Scalable Multi-Chip-Module-Based Deep Neural Network Accelerator Designed with A High-Productivity vlsi Methodology 2019 ·Rangharajan Venkatesan, Yakun Sophia Shao, Brian Zimmer, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany	10
8	MAGNet: A Modular Accelerator Generator for Neural Networks 2019 ·Rangharajan Venkatesan, Yakun Sophia Shao, (unknown), 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	84
9	Simba 2019 ·Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler	248
10	A modular digital VLSI flow for high-productivity SoC design 2018 ·Brucek Khailany, (unknown), Rangharajan Venkatesan, Jason Clemons, Joel Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Pinckney, Yakun Sophia Shao, S Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer	30
11	Training Long Short-Term Memory With Sparsified Stochastic Gradient Descent 2017 ·Maohua Zhu, Minsoo Rhu, Jason Clemons, Stephen W. Keckler, Yuan Xie	5
12	A patch memory system for image processing and computer vision 2016 ·International Symposium on Microarchitecture ·Jason Clemons, (unknown), Iuri Frosio, (unknown), Stephen W. Keckler	10
13	A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications 2016 ·Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler	6
14	GA3C: GPU-based A3C for Deep Reinforcement Learning 2016 ·Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz	30
15	Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU 2016 ·arXiv (Cornell University) ·Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz	19
16	A patch memory system for image processing and computer vision 2016 ·Jason Clemons, (unknown), Iuri Frosio, (unknown), Stephen W. Keckler	12
17	EVA: An efficient vision architecture for mobile systems 2013 ·Jason Clemons, Andrea Pellegrini, Silvio Savarese, Todd Austin	8
18	MEVBench: A mobile computer vision benchmarking suite 2011 ·Jason Clemons, (unknown), Silvio Savarese, Todd Austin	58
19	EFFEX 2011 ·Jason Clemons, (unknown), (unknown), Silvio Savarese, Todd Austin	25
20	Touch Me Often but Not Deeply: Understanding the Interpersonal Style of the Petites Digerati 2009 ·Eric K. Clemons, Susan M. Barnett, (unknown), Jason Clemons, (unknown), George Shulman, (unknown)	3

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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