Murali Emani

Biography
Murali Emani is an Assistant Computer Scientist in the Data Science group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. Prior to this, he was a Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory. He obtained his Ph.D. from the School of Informatics, University of Edinburgh, UK in 2015. His research interests are in scalable machine learning, emerging HPC and AI architectures, AI for Science. He serves as a co-chair for MLPerf HPC group at MLCommons to benchmark large scale ML on HPC systems. He also co-leads the AI Testbed at ALCF to evaluate novel AI accelerators for scientific machine learning applications. Murali has organized workshops and participated in turorials that include benchmarking deep learning workloads on emerging hardware, MLPerf-Bench at MLSys’20, MLSys’21, ISPASS’20, ISPASS’21, ASPLOS’21. He has also co-chaired the MLPerf birds-of-a-feather sessions at SC19, SC20 and SC21.
Presentations
Tutorial
Recorded
Accelerator-based Architectures
AI-HPC Convergence
Architectures
Benchmarking
Emerging Technologies
Heterogeneous Systems
Machine Learning and Artificial Intelligence
TUT
Workshop
Recorded
W
ACM Gordon Bell COVID Finalist
ACM Gordon Bell Finalist
Awards Presentation
Recorded
Awards
TP
Workshop
Recorded
Applications
Architectures
Benchmarking
Exascale Computing
Modeling and Simulation
Performance
Performance Portability
W
Workshop
Recorded
Correctness
Software Engineering
W
Chair of Sessions
Tutorial
Recorded
Accelerator-based Architectures
AI-HPC Convergence
Architectures
Benchmarking
Emerging Technologies
Heterogeneous Systems
Machine Learning and Artificial Intelligence
TUT