ScaDL 2022

Scalable Deep Learning over Parallel And Distributed Infrastructures

An IPDPS 2022 Workshop

June 3rd 2022, Virtual Conference

Previous Edition of the Workshop

Fourth IPDPS Workshop on Scalable Deep Learning over Parallel and Distributed Infrastructure (ScaDL)

ScaDL 2022 registrations are now open, please register through the official IPDPS page

Invited Speakers

Dr. Mudhakar Srivatsa
IBM Research, USA

Prof. Anima Anandkumar
Caltech, NVIDIA

Prof. William Fornaciari
Politecnico di Milano – DEIB, Italy

Dr. Barret Zoph
Google Brain, USA

Dr. Michael Gschwind
Meta AI, MLPerf

David Kanter
MLCommons

Organizing Committee

General Chairs

Danilo Ardagna, Politecnico di Milano, Italy

Stacy Patterson, Rensselaer Polytechnic Institute (RPI), USA

Program Committee Chairs

Alex Gittens, Rensselaer Polytechnic Institute (RPI), USA

Kaoutar El Maghraoui, IBM Research AI, USA

Publicity Chairs

Federica Filippini, Politecnico di Milano, Italy

Hadjer Benmeziane, Université Polytechnique des Hauts-de-France

Web Chair

Praveen Venkateswaran, IBM Research AI, USA

Steering Committee

Parijat Dube, IBM Research AI, USA

Vinod Muthusamy, IBM Research AI, USA

Ashish Verma, IBM Research AI, USA

Jayaram K. R., IBM Research AI, USA

Yogish Sabharwal, IBM Research AI, India


Program Committee

Misbah Mubarak, Amazon

Hamza Ouarnoughi, Université des Hauts-de-France

Neil McGlohon, Rensselaer Polytechnic Institute (RPI), USA

Nathalie Baracaldo Angel, IBM Research, USA

Ignacio Blanquer, Universitat Politecnica de Valencia, Spain

Dario Garcia-Gasulla, Barcelona Supercomputing Center

Saurabh Gupta, AMD

Jalil Boukhobza, ENSTA-Bretagne, France

Aiichiro Nakano, University of Southern California

Dhabaleswar K. Panda, Ohio State University

Eduardo Rocha Rodrigues, IBM Research, Brazil

Chen Wang, IBM Research, USA

Yangyang Xu, Rensselaer Polytechnic Institute (RPI), USA

Hongyi Wang, Carnegie Mellon University, USA

Important Dates

Paper Submission:January 24 February 7,2022

Acceptance Notification: March 1, 2022

Camera ready papers due: March 15, 2022 (hard deadline)

Workshop Date: June 3rd, 2022