Jason Clemons ![](/sites/default/files/person/jason-clemons.jpg) Jason Clemons joined NVIDIA in March 2013 and is a member of the Architecture Research Group. His current work focuses on the intersection of mobile computer vision and computer architecture. He recieved his Ph.D. from the University of Michigan, Ann Arbor in 2013. Prior to attending the University of Michigan, Jason worked at Whirlpool Corporation. During his time there he complete his Masters of Science in Computer Science and Engineering as a part of the Whirlpool Technical Excellence Program. He recieved his Bachelor Of Science in Electrical Engineering from Michigan Technological University in 2000. ### Publications ### 2026 [Alpha-Vision: A Real-Time Always-on Vision Processor with 787µs Face Detection Latency in <5mW](/publication/2026-02_alpha-vision-real-time-always-vision-processor-787ms-face-detection-latency) [Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Muya Chang](/person/muya-chang), Thierry Tambe, [Nathaniel Pinckney](/person/nathaniel-pinckney), [Stephen Tell](/person/stephen-tell), [Qijing Jenny Huang](/person/qijing-jenny-huang), [Shalini De Mello](/person/shalini-de-mello), [Brucek Khailany](/person/brucek-khailany) [ISSCC 2026](https://www.isscc.org/) ### 2022 [Augmenting Legacy Networks for Flexible Inference.](/publication/2022-10_augmenting-legacy-networks-flexible-inference) [Jason Clemons](/person/jason-clemons), [Iuri Frosio](/person/iuri-frosio), Maying Shen, Jose M. Alvarez, [Steve Keckler](/person/stephen-keckler) [Workshop on Computational Aspects of Deep Learning (CADL)](https://ailb-web.ing.unimore.it/cadl2022/) ### 2021 [Simba: scaling deep-learning inference with chiplet-based architecture](/publication/2021-05_simba-scaling-deep-learning-inference-chiplet-based-architecture) Yakun Sophia Shao, [Jason Clemons](/person/jason-clemons), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany), [Steve Keckler](/person/stephen-keckler) [Communications of the ACM](https://dl.acm.org/doi/10.1145/3460227) ACM Research Highlight ### 2020 [A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm](/publication/2020-01_032-128-tops-scalable-multi-chip-module-based-deep-neural-network-inference) [Brian Zimmer](/person/brian-zimmer), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Yakun Sophia Shao, [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany) [IEEE Journal of Solid-State Circuits (JSSC)](https://ieeexplore.ieee.org/document/8959403) JSSC 2020 Best Paper award ### 2019 [MAGNet: A Modular Accelerator Generator for Neural Networks](/publication/2019-11_magnet-modular-accelerator-generator-neural-networks) [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Sophia Shao, Miaorong Wang, [Jason Clemons](/person/jason-clemons), [Steve Dai](/person/steve-dai), [Matt Fojtik](/person/matt-fojtik), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Yanqing Zhang](/person/yanqing-zhang), [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany) [International Conference On Computer Aided Design (ICCAD)](https://ieeexplore.ieee.org/document/8942127) [Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture](/publication/2019-10_simba-scaling-deep-learning-inference-multi-chip-module-based-architecture) Sophia Shao, [Jason Clemons](/person/jason-clemons), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany), [Steve Keckler](/person/stephen-keckler) [International Symposium on Microarchitecture (MICRO)](https://dl.acm.org/doi/10.1145/3352460.3358302) Best Paper award, IEEE Micro Top Picks in Computer Architecture (Honorable Mention) [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](/publication/2019-08_011-pjop-032-128-tops-scalable-multi-chip-module-based-deep-neural-network) [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Sophia Shao, [Brian Zimmer](/person/brian-zimmer), [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany) [Hot Chips: A Symposium on High Performance Chips](http://www.hotchips.org/) [A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm](/publication/2019-06_011-pjop-032-128-tops-scalable-multi-chip-module-based-deep-neural-network) [Brian Zimmer](/person/brian-zimmer), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Sophia Shao, [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany) [Symposium on VLSI Circuits](https://ieeexplore.ieee.org/document/8778056) [Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration](/publication/2019-04_buffets-efficient-and-composable-storage-idiom-explicit-decoupled-data) [Michael Pellauer](/person/michael-pellauer), Yakun Sophia Shao, [Jason Clemons](/person/jason-clemons), [Neal Crago](/person/neal-crago), Kartik Hegde, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Keckler](/person/stephen-keckler), Christopher W. Fletcher, [Joel Emer](/person/joel-emer) [International Conference on Architectural Support for Programming Languages and…](https://dl.acm.org/doi/10.1145/3297858.3304025) IEEE Micro Top Picks in Computer Architecture (Honorable Mention) ### 2018 [A Modular Digital VLSI Flow for High-Productivity SoC Design](/index.php/publication/2018-06_modular-digital-vlsi-flow-high-productivity-soc-design) [Brucek Khailany](/index.php/person/brucek-khailany), Evgeni Krimer, [Rangharajan Venkatesan](/index.php/person/rangharajan-venkatesan), [Jason Clemons](/index.php/person/jason-clemons), [Joel Emer](/index.php/person/joel-emer), [Matt Fojtik](/index.php/person/matt-fojtik), Alicia Klinefelter, [Michael Pellauer](/index.php/person/michael-pellauer), [Nathaniel Pinckney](/index.php/person/nathaniel-pinckney), Sophia Shao, Shreesha Srinath, Christopher Torng, Sam (Likun) Xi, [Yanqing Zhang](/index.php/person/yanqing-zhang), [Brian Zimmer](/index.php/person/brian-zimmer) [Design Automation Conference (DAC)](https://dl.acm.org/doi/10.1145/3195970.3199846) [Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training](/publication/2018-06_structurally-sparsified-backward-propagation-faster-long-short-term-memory) Maohua Zhu, [Jason Clemons](/person/jason-clemons), Jeff Pool, Minsoo Rhu, [Steve Keckler](/person/stephen-keckler), Yuan Xie [arXiv](https://arxiv.org/abs/1806.00512) ### 2017 [Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU](/publication/2017-04_reinforcement-learning-through-asynchronous-advantage-actor-critic-gpu) [Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jason Clemons](/person/jason-clemons), [Jan Kautz](/person/jan-kautz), Mohammad Babaeizadeh [Proceeding of ICLR 2017](https://openreview.net/pdf?id=r1VGvBcxl) ### 2016 [Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU](/publication/2016-11_reinforcement-learning-through-asynchronous-advantage-actor-critic-gpu) Mohammad Babaeizadeh, [Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jason Clemons](/person/jason-clemons), [Jan Kautz](/person/jan-kautz) [arXiv](https://arxiv.org/abs/1611.06256) [A Patch Memory System For Image Processing and Computer Vision.](/publication/2016-10_patch-memory-system-image-processing-and-computer-vision) [Jason Clemons](/person/jason-clemons), Chih-Chi Cheng, [Iuri Frosio](/person/iuri-frosio), Daniel Johnson, [Steve Keckler](/person/stephen-keckler) [International Symposium on Microarchitecture (MICRO)](https://ieeexplore.ieee.org/document/7783754) [vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.](/publication/2016-10_vdnn-virtualized-deep-neural-networks-scalable-memory-efficient-neural-network) Minsoo Rhu, Natalia Gimelshein, [Jason Clemons](/person/jason-clemons), Arslan Zulfiqar, [Steve Keckler](/person/stephen-keckler) [International Symposium on Microarchitecture (MICRO)](https://dl.acm.org/doi/10.5555/3195638.3195660) [A Real-time Energy-Efficient Superpixel Hardware Accelerator for Mobile Computer Vision Applications](/index.php/publication/2016-06_real-time-energy-efficient-superpixel-hardware-accelerator-mobile-computer) Injoon Hong, [Jason Clemons](/index.php/person/jason-clemons), [Rangharajan Venkatesan](/index.php/person/rangharajan-venkatesan), [Iuri Frosio](/index.php/person/iuri-frosio), [Brucek Khailany](/index.php/person/brucek-khailany), [Steve Keckler](/index.php/person/stephen-keckler) [Design Automation Conference (DAC)](http://dl.acm.org/citation.cfm?id=2897974) [vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design](/publication/2016-02_vdnn-virtualized-deep-neural-networks-scalable-memory-efficient-neural-network) Minsoo Rhu, Natalia Gimelshein, [Jason Clemons](/person/jason-clemons), Arslan Zulfiqar, [Steve Keckler](/person/stephen-keckler) [arXiv](https://arxiv.org/abs/1602.08124)