Murali Emani (Argonne National Laboratory)

Murali Emani is an Assistant Computer Scientist in the Data Science group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. His research interests are at the intersection of systems and machine learning including Parallel programming models, Hardware accelerators for ML/DL, High Performance Computing, Scalable Machine Learning, Runtime Systems, Performance optimization, Emerging HPC architectures, Online Adaptation. Prior, he was a Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory, US. Murali obtained his PhD and worked as a Research Associate at the Institute for Computing Systems Architecture at the School of Informatics, University of Edinburgh, UK. His research resulted in multiple publications at top conferences such as PACT, PLDI and granted patents. Murali served as technical program committee member for conferences including ICPP'19, CCGRID'19, PACT '18, CCGRID '18, ICPP '18. He chaired the first Birds-of-feather session on Machine Learning benchmarking on HPC systems at Supercomputing 2019.