Jason Clemons - RankMe

29 papers A* 7A 1B 1C 1Misc 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	31.9 Alpha-Vision: A Real-Time Always-on Vision Processor with 787µs Face Detection Latency in <5mW. ISSCC Ben Keller, Rangharajan Venkatesan, Steve Dai, Jason Clemons, Matthew Fojtik, Muya Chang, Thierry Tambe, Nathaniel Ross Pinckney, Stephen G. Tell, Qijing Huang, Shalini De Mello, Brucek Khailany
2026	J	`jnl`	How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf. CoRR Wenqi Jiang, Jason Clemons, Karu Sankaralingam, Christos Kozyrakis
2025	J	`jnl`	HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving. CoRR Avinash Kumar, Shashank Nag, Jason Clemons, Lizy Kurian John, Poulami Das
2024	B	`conf`	Vision Transformer Computation and Resilience for Dynamic Inference. ISPASS Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
2023	C	`conf`	Augmenting Legacy Networks for Flexible Inference. IV Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
2023	J	`jnl`	Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. 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
2022	—	`conf`	Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
2022	J	`jnl`	Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications. CoRR Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
2021	J	`jnl`	Simba: scaling deep-learning inference with chiplet-based architecture. Commun. ACM 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
2020	J	`jnl`	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 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
2019	—	`conf`	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 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
2019	—	`conf`	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 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
2019	A*	`conf`	Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration. ASPLOS Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Clayton Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel S. Emer
2019	A	`conf`	MAGNet: A Modular Accelerator Generator for Neural Networks. ICCAD 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
2019	A*	`conf`	Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. MICRO 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
2018	A*	`conf`	A modular digital VLSI flow for high-productivity SoC design. DAC 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
2018	J	`jnl`	Automotive Computing. IEEE Micro Hsien-Hsin Sean Lee, Jason Clemons
2018	J	`jnl`	Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
2017	—	`conf`	Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
2016	A*	`conf`	A patch memory system for image processing and computer vision. MICRO Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel R. Johnson, Stephen W. Keckler
2016	A*	`conf`	A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications. DAC Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler
2016	J	`jnl`	GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
2016	J	`jnl`	Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design. CoRR Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
2016	A*	`conf`	vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design. MICRO Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
2013	—	`—`	Computer Architectures for Mobile Computer Vision Systems. Jason Clemons
2013	Misc	`conf`	EVA: An efficient vision architecture for mobile systems. CASES Jason Clemons, Andrea Pellegrini, Silvio Savarese, Todd M. Austin
2012	—	`conf`	MVSS: Michigan Visual Sonification System. ESPA Jason Clemons, Sid Ying-Ze Bao, Silvio Savarese, Todd M. Austin, Vinay Sharma
2011	A*	`conf`	EFFEX: an embedded processor for computer vision based feature extraction. DAC Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd M. Austin
2011	—	`conf`	MEVBench: A mobile computer vision benchmarking suite. IISWC Jason Clemons, Haishan Zhu, Silvio Savarese, Todd M. Austin