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Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Jun 08, 2020
Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler

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HarDNN: Feature Map Vulnerability Evaluation in CNNs

Feb 25, 2020
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler

* 14 pages, 5 figures, a short version accepted for publication in First Workshop on Secure and Resilient Autonomy (SARA) co-located with MLSys2020 

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ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection

Jul 01, 2019
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva K. S. Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer

* Accepted at 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks 

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

Jun 01, 2018
Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie

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SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

May 23, 2017
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen W. Keckler, William J. Dally

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Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

May 03, 2017
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler

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vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Jul 28, 2016
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler

* Published as a conference paper at the 49th IEEE/ACM International Symposium on Microarchitecture (MICRO-49), 2016 

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