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Murali Krishna Emani

Computer Scientist

Expertise in the intersection of Systems and Machine learning


Murali Emani is an Assistant Computer Scientist in the Data Sciences group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. 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 the School of Informatics, University of Edinburgh, UK.

His primary research focus lies in the intersection of systems and machine learning. Research interests include Parallel programming models, Hardware accelerators for ML/DL, High Performance Computing, Scalable Machine Learning, Runtime Systems, Performance optimization, Emerging HPC architectures, Online Adaptation.