Jason Clemons

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Inference Process

Natural Actor Critic

Top Venues

ECCV Workshops (7)

Publications

Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
Vision Transformer Computation and Resilience for Dynamic Inference. ISPASS (2024)
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
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. 41 (2023)
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
Augmenting Legacy Networks for Flexible Inference. IV (2023)
Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications. CoRR (2022)
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Stephen W. Keckler
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) (2022)
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
Simba: scaling deep-learning inference with chiplet-based architecture. Commun. ACM 64 (6) (2021)
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
A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm. IEEE J. Solid State Circuits 55 (4) (2020)
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
MAGNet: A Modular Accelerator Generator for Neural Networks. ICCAD (2019)
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
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm. VLSI Circuits (2019)
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
Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. MICRO (2019)
Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Clayton Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel S. Emer
Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration. ASPLOS (2019)
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
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. Hot Chips Symposium (2019)
Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR (2018)
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
A modular digital VLSI flow for high-productivity SoC design. DAC (2018)
Hsien-Hsin Sean Lee, Jason Clemons
Automotive Computing. IEEE Micro 38 (1) (2018)
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) (2017)
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR (2016)
Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler
A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications. DAC (2016)
Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel R. Johnson, Stephen W. Keckler
A patch memory system for image processing and computer vision. MICRO (2016)
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design. CoRR (2016)
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design. MICRO (2016)
Jason Clemons, Andrea Pellegrini, Silvio Savarese, Todd M. Austin
EVA: An efficient vision architecture for mobile systems. CASES (2013)
Jason Clemons, Sid Ying-Ze Bao, Silvio Savarese, Todd M. Austin, Vinay Sharma
MVSS: Michigan Visual Sonification System. ESPA (2012)
Jason Clemons, Haishan Zhu, Silvio Savarese, Todd M. Austin
MEVBench: A mobile computer vision benchmarking suite. IISWC (2011)
Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd M. Austin
EFFEX: an embedded processor for computer vision based feature extraction. DAC (2011)