Joseph S. Spisak

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 3

Top Topics

High Performance Data Mining

Unsupervised Feature Learning

Distributed Computing Environment

Top Venues

Publications

Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. MLSys (2023)
SungYe Kim, Jeremy Bottleson, Jingyi Jin, Preeti Bindu, Snehal C. Sakhare, Joseph S. Spisak
Power Efficient MapReduce Workload Acceleration Using Integrated-GPU. BigDataService (2015)
Jeremy Bottleson, SungYe Kim, Jeff Andrews, Preeti Bindu, Deepak N. Murthy, Joseph S. Spisak, Jingyi Jin
OpenCL accelerated deep learning for visual understanding. IWOCL (2015)