Author

Jason Clemons

Observed names: Clemons, Jason, Jason Cemons

Institution: Nvidia (United States)

Observed institutions: Nvidia (United Kingdom), University of Michigan, Nvidia (United States)

ORCID: 0000-0001-5533-417X

Observed ORCID: 0000-0001-5533-417X

OpenAlex ID: A5056153489

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

2016 · Minsoo Rhu, Natalia Gimelshein, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 416

Simba

2019 · Yakun Sophia Shao, Jason Clemons, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 408

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

2016 · Babaeizadeh, Mohammad, Frosio, Iuri, et al. · arXiv (Cornell University) · 199

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MAGNet: A Modular Accelerator Generator for Neural Networks

2019 · Rangharajan Venkatesan, Yakun Sophia Shao, et al. · 144

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

2020 · Brian Zimmer, Rangharajan Venkatesan, et al. · IEEE Journal of Solid-State Circuits · 122

Buffets

2019 · Michael Pellauer, Yakun Sophia Shao, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 91

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MEVBench: A mobile computer vision benchmarking suite

2011 · Jason Clemons, Haishan Zhu, et al. · IEEE International Symposium on Workload Characterization · 74

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

2019 · Brian Zimmer, Rangharajan Venkatesan, et al. · Symposium on VLSI Circuits · 52

GA3C: GPU-based A3C for Deep Reinforcement Learning

2016 · Mohammad Babaeizadeh, Iuri Frosio, et al. · 49

A modular digital VLSI flow for high-productivity SoC design

2018 · Brucek Khailany, Evgeni Khmer, et al. · ACM/IEEE Design Automation Conference (DAC) · 38

EFFEX

2011 · Jason Clemons, Andrew Jones, et al. · ACM/IEEE Design Automation Conference (DAC) · 35

Simba

2021 · Yakun Sophia Shao, Jason Cemons, et al. · Communications of the ACM · 24

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INVITED: A Modular Digital VLSI Flow for High-Productivity SoC Design

2018 · Brucek Khailany, Evgeni Krimer, et al. · ACM/IEEE Design Automation Conference (DAC) · 24

Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design

2016 · Minsoo Rhu, Natalia Gimelshein, et al. · arXiv (Cornell University) · 18

A patch memory system for image processing and computer vision

2016 · Jason Clemons, Chih-Chi Cheng, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 16

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

2019 · Rangharajan Venkatesan, Yakun Sophia Shao, et al. · IEEE Hot Chips Symposium · 14

A patch memory system for image processing and computer vision

2016 · Jason Clemons, Chih-Chi Cheng, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 14

EVA: An efficient vision architecture for mobile systems

2013 · Jason Clemons, Andrea Pellegrini, et al. · International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES) · 10

Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing

2023 · Michael Pellauer, Jason Clemons, et al. · ACM Transactions on Computer Systems · 8

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Training Long Short-Term Memory With Sparsified Stochastic Gradient Descent

2017 · Maohua Zhu, Minsoo Rhu, et al. · 8

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

2016 · Injoon Hong, Jason Clemons, et al. · ACM/IEEE Design Automation Conference (DAC) · 8

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

2018 · Zhu, Maohua, Clemons, Jason, et al. · arXiv (Cornell University) · 6

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Vision Transformer Computation and Resilience for Dynamic Inference

2024 · Kavya Sreedhar, Jason Clemons, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 5