Contributor

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.