SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors

no code implementations • 22 Nov 2019 • Zhangxiaowen Gong, Houxiang Ji, Christopher Fletcher, Christopher Hughes, Josep Torrellas

Our community has greatly improved the efficiency of deep learning applications, including by exploiting sparsity in inputs.

Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

no code implementations • 14 Aug 2018 • Mengjia Yan, Christopher Fletcher, Josep Torrellas

A DNN's architecture (i. e., its hyper-parameters) broadly determines the DNN's accuracy and performance, and is often confidential.