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Contributor

Biography
Murali Emani is a computer scientist in the Data Science Group within the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. He is also the co-founder of the MLPerf HPC working group. His research interests are scalable machine learning, parallel programming models, high performance computing, runtime systems, emerging computer architectures, and online adaptation. Previously he was a post-doctoral research staff member at Lawrence Livermore National Laboratory. He obtained his Ph.D. from the Institute for Computing Systems Architecture at the School of Informatics, University of Edinburgh. Murali has published in top conferences, including PACT, PLDI, CGO, and SC, and has three granted patents. He was involved with the publication that won the ACM Gordon Bell Prize for High Performance Computing at SC22.
Presentations
Workshop
Artificial Intelligence/Machine Learning
W
Workshop
Applications
Software Engineering
W
Birds of a Feather
Artificial Intelligence/Machine Learning
TP
XO/EX
Workshop
Accelerators
Artificial Intelligence/Machine Learning
Compilers
Heterogeneous Computing
Programming Frameworks and System Software
Runtime Systems
W
Workshop
Artificial Intelligence/Machine Learning
Graph Algorithms and Frameworks
W
Tutorial
Accelerators
Artificial Intelligence/Machine Learning
TUT
Chair of Sessions