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.
