ScaDL 2022

Scalable Deep Learning over Parallel And Distributed Infrastructures

An IPDPS 2022 Workshop

At Lyon, France

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

Organization

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

Steering Committee

Parijat Dube, IBM Research AI, USA

Vinod Muthusamy, IBM Research AI

Ashish Verma, IBM Research AI

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, 2022

Acceptance Notification: March 1, 2022

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

Workshop Date: TBA (May 30th or June 3rd, 2022)