Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Analyzing and Mitigating Data Stalls in DNN Training

Jul 14, 2020
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram

  Access Paper or Ask Questions

Efficient Algorithms for Device Placement of DNN Graph Operators

Jun 29, 2020
Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino

  Access Paper or Ask Questions

Memory-Efficient Pipeline-Parallel DNN Training

Jun 16, 2020
Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia

  Access Paper or Ask Questions

Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training

Jun 05, 2020
Hongyu Zhu, Amar Phanishayee, Gennady Pekhimenko

  Access Paper or Ask Questions

Blink: Fast and Generic Collectives for Distributed ML

Oct 11, 2019
Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil Devanur, Ion Stoica

  Access Paper or Ask Questions

The Non-IID Data Quagmire of Decentralized Machine Learning

Oct 01, 2019
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons

  Access Paper or Ask Questions

Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

May 21, 2018
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy

  Access Paper or Ask Questions

TBD: Benchmarking and Analyzing Deep Neural Network Training

Apr 14, 2018
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko

  Access Paper or Ask Questions