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Remote Participation
Biography
Steven Farrell is a Machine Learning Engineer at the NERSC supercomputing center. He supports scientific deep learning workflows on HPC systems through software development, benchmarking, user support, and training. His research interests include applications of deep learning to high energy physics, generative modeling, and applications of learning on structured data such as graphs. Steve is co-chair of the MLPerf HPC working group. He was a member of the ATLAS experiment at CERN for many years, first during his Ph.D studies at UC Irvine working on searches for electroweak supersymmetry, and then as a postdoc at Berkeley Lab working on software development and machine learning applications for analysis and simulation.
Presentations
Workshop
Online Only
Accelerator-based Architectures
Applications
Computational Science
Emerging Technologies
Extreme Scale Comptuing
File Systems and I/O
Heterogeneous Systems
Parallel Programming Languages and Models
Performance
Scientific Computing
Software Engineering
W
Workshop
Online Only
Machine Learning and Artificial Intelligence
W
Tutorial
Online Only
Extreme Scale Comptuing
Machine Learning and Artificial Intelligence
TUT
Chair of Sessions
Tutorial
Online Only
Extreme Scale Comptuing
Machine Learning and Artificial Intelligence
TUT
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