Ananth Grama’s research interests span parallel and distributed computing architectures, algorithms, and applications. His work on distributed infrastructure includes software support for dynamic clustered and multi-clustered environments. His recent work focuses on resource location and allocation mechanisms in peer-to-peer networks. His research on applications has focused on particle dynamics methods, their applications to dense linear system solvers, and fast algorithms for data compression and analysis.
Dr. Grama has authored several papers and co-authored a text book, Introduction to Parallel Computing: Design and Analysis of Algorithms, with Vipin Kumar, Anshul Gupta, and George Karypis. He is a member of the American Association for Advancement of Sciences and Sigma Xi.
Dr. Grama is the Samuel Conte Professor of Computer Science at Purdue University. He also serves as Associate Director of the Center for Science of Information, a Science and Technology Center of the National Science Foundation. He joined Purdue in 1996 as an Assistant Professor and has been there since. He received a PhD in Computer Science from the University of Minnesota (1996), an MS in Computer Engineering from Wayne State University (1990), and a B. Engg. in Computer Science from the Indian Institute of Technology Roorkee (1989). His primary research interests lie in broad areas of parallel and distributed computing, large-scale data analytics, design and simulation, and applications. Dr. Grama’s work has been recognized through a number of awards, including the NSF CAREER award (1998), Purdue University Faculty Scholar (2002), Fellow of the American Association for Advancement of Science (AAAS) (2014), Distinguished Alumnus of the University of Minnesota (2015), and Amazon Research Award (2021).
