What can (large scale) machine learning do for you?
Abhinav Vishnu is a research scientist in the Advanced Computing, Mathematics, and Data Division, Fundamental and Computational Sciences Directorate. His primary research interests are in high performance computing, parallel programming models, and designing scalable machine learning and data mining algorithms using parallel programming models on high-end systems. He has served as co-editor for multiple journals including Parallel Computing, Journal of Supercomputing, Computation and Concurrency: Practice and Experience, and program co-chair for the International Workshop on Parallel Programming Models and Systems Software, and International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics. He has co-authored 50 journal, conference, and workshop publications and is frequently invited to serve as a Technical Program Committee member for High Performance Computing conferences and workshops.