activity
20142024
most citedMISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems for Machine Learning

72 citations · 109 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR202432 cited

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale

Dan Zhao, Siddharth Samsi, Joseph McDonald +5

As research and deployment of AI grows, the computational burden to support and sustain its progress inevitably does too. To train or fine-tune state-of-the-art models in NLP, comp…

cs.AI2023

Lincoln AI Computing Survey (LAICS) Update

Albert Reuther, Peter Michaleas, Michael Jones +3

This paper is an update of the survey of AI accelerators and processors from past four years, which is now called the Lincoln AI Computing Survey - LAICS (pronounced "lace"). As in…

cs.DC202272 cited

MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems for Machine Learning

Baolin Li, Tirthak Patel, Siddarth Samsi +2

GPU technology has been improving at an expedited pace in terms of size and performance, empowering HPC and AI/ML researchers to advance the scientific discovery process. However,…

cs.LG20213 cited

Scalable Geometric Deep Learning on Molecular Graphs

Nathan C. Frey, Siddharth Samsi, Joseph McDonald +3

Deep learning in molecular and materials sciences is limited by the lack of integration between applied science, artificial intelligence, and high-performance computing. Bottleneck…

cs.CY20142 cited

A Hands-on Education Program on Cyber Physical Systems for High School Students

Vijay Gadepally, Ashok Krishnamurthy, Umit Ozguner

Cyber Physical Systems (CPS) are the conjoining of an entities' physical and computational elements. The development of a typical CPS system follows a sequence from conceptual mode…