ScaDL 2023

Scalable Deep Learning over Parallel And Distributed Infrastructures

An IPDPS 2023 Workshop

May 19th 2023

   Previous Edition of the Workshop

Fifth IPDPS Workshop on Scalable Deep Learning over Parallel and Distributed Infrastructure (ScaDL)
Workshop program
Registration Link
Invited Speakers

Dr. Angela Dalton
Director, Silicon Design Engineering
AMD Research

Dr. Prasanna Balaprakash
Director, AI Programs
Oak Ridge National Laboratory

Dr. Supriyo Chakraborty
Senior Research Scientist
IBM Research

Organizing Committee

General Chairs

Kaoutar El Maghraoui, IBM Research AI, USA

Daniele Lezzi, Barcelona Supercomputing Center, Spain

Program Committee Chairs

Misbah Mubarak, NVIDIA, USA

Alex Gittens, Rensselaer Polytechnic Institute (RPI), 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

Danilo Ardagna, Politecnico di Milano, Italy

Program Committee

Bouchra Bouqata, Microsoft Research

Praveen Venkateswaran, IBM Research

Halima Bouzidi, UPHF

Hamza Ouarnoughi, UPHF

Yangyang Xu, Rensselaer Polytechnic Institute

Noah Wolfe, AMD Research

Nikhil Jain, Nvidia

Tanzima Islam, Texas State University

Mozhgan Kabiri Chimeh, Nvidia

Neil McGlohon, IBM Research

Anna Levin, Amazon Web Services

Danilo Ardagna, Politecnico di Milano

Ignacio Blanquer, Universitat Politècnica de València

Francesc Lordan, Barcelona Supercomputing Center

Important Dates

Paper Submission: February 5, 2023
  February 14, 2023

Acceptance Notification: February 26, 2023

Camera ready papers due: March 7, 2023

Workshop Date: May 19th, 2023