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Stephen W. Keckler

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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

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