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ORCIDJason Clemons
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- affiliation: NVIDIA
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2020 – today
- 2024
[c17]Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz:
Vision Transformer Computation and Resilience for Dynamic Inference. ISPASS 2024: 192-204- 2023
- [j4]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: 4:1-4:30 (2023) - [c16]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. IV 2023: 1-8 - 2022
- [c15]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) 2022: 84-98 - [i4]Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz:
Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications. CoRR abs/2212.02687 (2022) - 2021
- [j3]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): 107-116 (2021) - 2020
- [j2]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): 920-932 (2020)
2010 – 2019
- 2019
- [c14]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: 137-151 - [c13]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: 1-24 - [c12]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: 1-8 - [c11]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: 14-27 - [c10]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: 300- - 2018
- [j1]Hsien-Hsin Sean Lee, Jason Clemons:
Automotive Computing. IEEE Micro 38(1): 29-30 (2018) - [c9]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: 72:1-72:6 - [i3]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 abs/1806.00512 (2018) - 2017
- [c8]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz:
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) 2017 - 2016
- [c7]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: 95:1-95:6 - [c6]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: 18:1-18:13 - [c5]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: 51:1-51:13 - [i2]Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler:
Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design. CoRR abs/1602.08124 (2016) - [i1]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz:
GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR abs/1611.06256 (2016) - 2013
- [b1]Jason Clemons:
Computer Architectures for Mobile Computer Vision Systems. University of Michigan, USA, 2013 - [c4]Jason Clemons, Andrea Pellegrini, Silvio Savarese, Todd M. Austin:
EVA: An efficient vision architecture for mobile systems. CASES 2013: 13:1-13:10 - 2012
- [c3]Jason Clemons, Sid Ying-Ze Bao, Silvio Savarese, Todd M. Austin, Vinay Sharma:
MVSS: Michigan Visual Sonification System. ESPA 2012: 143-146 - 2011
- [c2]Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd M. Austin:
EFFEX: an embedded processor for computer vision based feature extraction. DAC 2011: 1020-1025 - [c1]Jason Clemons, Haishan Zhu, Silvio Savarese, Todd M. Austin:
MEVBench: A mobile computer vision benchmarking suite. IISWC 2011: 91-102
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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