ScaDL 2021

Scalable Deep Learning over Parallel And Distributed Infrastructures

An IPDPS 2021 Workshop

At Portland, Oregon, USA & Virtually on May 21, 2021


General Chairs

Stacy Patterson, RPI, USA

Parijat Dube, IBM Research AI, USA

Program Committee Chairs

Yogish Sabharwal, IBM Research AI, India

Danilo Ardagna, Politecnico di Milano, Italy


Jayaram K. R., IBM Research AI, USA

Publicity Chairs

Federica Filippini, Politecnico di Milano, Italy

Anirban Das, Rensselaer Polytechnic Institute (RPI), USA

Steering Committee

Vijay K. Garg, University of Texas at Austin

Vinod Muthusamy, IBM Research AI

Ashish Verma, IBM Research AI

Program Committee

Nathalie Baracaldo Angel, IBM Research, USA

Ignacio Blanquer, Universitat Politecnica de Valencia, Spain

Tianyi Chen, Rensselaer Polytechnic Institute (RPI), USA

Minsik Cho, Apple, USA

Kaoutar El Maghraoui, IBM Research AI, USA

Dario Garcia-Gasulla, Barcelona Supercomputing Center, Spain

Alex Gittens, Rensselaer Polytechnic Institute (RPI), USA

Saurabh Gupta, AMD, India

Kangwook Lee, University of Wisconsin-Madison, USA

Xiangru Lian, University of Rochester, USA

Arya Mazumdar, University of Massachusetts, Amherst, USA

Aiichiro Nakano, University of Southern California, USA

Dhabaleswar K. (DK) Panda, Ohio State University, USA

Sayan Ranu, IIT Delhi, India

Eduardo Rocha Rodrigues, IBM Research, Brazil

Chen Wang, IBM Research, USA

Yangyang Xu, Rensselaer Polytechnic Institute (RPI), USA

(same as IPDPS 2021. Please select ScaDL Workshop after logging in)

Important Dates

Paper Submission: Feb 21, 2021

Acceptance Notification: March 22, 2021

Camera-ready papers due: April 5, 2021