Jason Clemons

Orcid: 0000-0001-5533-417X

Affiliations:
  • NVIDIA


According to our database1, Jason Clemons authored at least 25 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Vision Transformer Computation and Resilience for Dynamic Inference.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

2023
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing.
ACM Trans. Comput. Syst., 2023

Augmenting Legacy Networks for Flexible Inference.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications.
CoRR, 2022

2021
Simba: scaling deep-learning inference with chiplet-based architecture.
Commun. ACM, 2021

2020
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, 2020

2019
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

MAGNet: A Modular Accelerator Generator for Neural Networks.
Proceedings of the International Conference on Computer-Aided Design, 2019

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.
Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
Automotive Computing.
IEEE Micro, 2018

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training.
CoRR, 2018


2017
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design.
CoRR, 2016

GA3C: GPU-based A3C for Deep Reinforcement Learning.
CoRR, 2016

vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

A patch memory system for image processing and computer vision.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications.
Proceedings of the 53rd Annual Design Automation Conference, 2016

2013
Computer Architectures for Mobile Computer Vision Systems.
PhD thesis, 2013

EVA: An efficient vision architecture for mobile systems.
Proceedings of the International Conference on Compilers, 2013

2012
MVSS: Michigan Visual Sonification System.
Proceedings of the 2012 IEEE International Conference on Emerging Signal Processing Applications, 2012

2011
MEVBench: A mobile computer vision benchmarking suite.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

EFFEX: an embedded processor for computer vision based feature extraction.
Proceedings of the 48th Design Automation Conference, 2011


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