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Stephen Keckler

Adjunct Professor

Research

Research Interests:

Dr. Keckler is intersted in computer architecture.

Select Publications

Stephen K. Kleckler. 2018. Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks.

Stephen K. Kleckler. 2017. Fine-Grained DRAM: Energy Efficient DRAM for Extreme Bandwidth Systems.

Stephen K. Kleckler. 2017. SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks .

Stephen K. Kleckler. 2017. Architectecting an Energy-Efficient DRAM System for GPUs.

Stephen K. Kleckler. 2016. Virtualizing Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.

Contact Info

Stephen Keckler
Adjunct Professor
(512) 471-9529