6 citations · 6 across the 3 of their papers we have counts for
3 papers
CATCH: a Cost Analysis Tool for Co-optimization of chiplet-based Heterogeneous systems
Alexander Graening, Jonti Talukdar, Saptadeep Pal +2
With the increasing prevalence of chiplet systems in high-performance computing applications, the number of design options has increased dramatically. Instead of chips defaulting t…
DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems
Newsha Ardalani, Saptadeep Pal, Puneet Gupta
Over the past decade, machine learning model complexity has grown at an extraordinary rate, as has the scale of the systems training such large models. However there is an alarming…
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar +5
Deploying deep learning (DL) models across multiple compute devices to train large and complex models continues to grow in importance because of the demand for faster and more freq…