Jason Clemons

According to our database, Jason Clemons authored at least 24 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing.

Michael Pellauer, Jason Clemons, Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Donghyuk Lee, Mike O'Connor, Anghsuman Parashar, Sean Treichler, Po-An Tsai, Stephen W. Keckler, Joel S. Emer

ACM Trans. Comput. Syst., 2023

Augmenting Legacy Networks for Flexible Inference.

Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications.

Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz

CoRR, 2022

2021

Simba: scaling deep-learning inference with chiplet-based architecture.

Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler

Commun. ACM, 2021

2020

A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.

Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany

IEEE J. Solid State Circuits, 2020

2019

A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm.

Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture.

Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

MAGNet: A Modular Accelerator Generator for Neural Networks.

Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William J. Dally, Joel S. Emer, Stephen W. Keckler, Brucek Khailany

Proceedings of the International Conference on Computer-Aided Design, 2019

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.

Rangharajan Venkatesan, Yakun Sophia Shao, Brian Zimmer, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany

Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration.

Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Clayton Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel S. Emer

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Automotive Computing.

Hsien-Hsin Sean Lee, Jason Clemons

IEEE Micro, 2018

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training.

Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie

CoRR, 2018

A modular digital VLSI flow for high-productivity SoC design.

Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons, Joel S. Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Ross Pinckney, Yakun Sophia Shao, Shreesha Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU.

Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design.

Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler

CoRR, 2016

GA3C: GPU-based A3C for Deep Reinforcement Learning.

Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz

CoRR, 2016

vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design.

Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

A patch memory system for image processing and computer vision.

Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel R. Johnson, Stephen W. Keckler

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications.

Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler

Proceedings of the 53rd Annual Design Automation Conference, 2016

2013

Computer Architectures for Mobile Computer Vision Systems.

Jason Clemons

PhD thesis, 2013

EVA: An efficient vision architecture for mobile systems.

Jason Clemons, Andrea Pellegrini, Silvio Savarese, Todd M. Austin

Proceedings of the International Conference on Compilers, 2013

2012

MVSS: Michigan Visual Sonification System.

Jason Clemons, Sid Ying-Ze Bao, Silvio Savarese, Todd M. Austin, Vinay Sharma

Proceedings of the 2012 IEEE International Conference on Emerging Signal Processing Applications, 2012

2011

MEVBench: A mobile computer vision benchmarking suite.

Jason Clemons, Haishan Zhu, Silvio Savarese, Todd M. Austin

Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

EFFEX: an embedded processor for computer vision based feature extraction.

Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd M. Austin

Proceedings of the 48th Design Automation Conference, 2011