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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 tutorials 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.
Modeling and Simulation
ACM Gordon Bell COVID Finalist
ACM Gordon Bell Finalist
Birds of a Feather
Machine Learning and Artificial Intelligence
Chair of Sessions