Biography

Kalyan Perumalla is a Federal Program Manager in Advanced Scientific Computing Research at the U.S. Dept. of Energy, Office of Science, where he manages a $100-million R&D portfolio covering Artificial Intelligence (AI), High-Performance Computing (HPC), Quantum Computing and Networking, Scientific Discovery through Advanced Computing (SciDAC), Basic Computer Science, and Small Business Innovation Research (SBIR) Programs.

At DOE/ASCR, he contributed to the ideation, formulation, issuance, and management of 12 large solicitations.

Some of his major assignments included oversight of the following:

Additional information can be found at Funding Opportunities, Solicitations, and PI list.

Before joining DOE, he led advanced R&D as Distinguished Research Staff Member at the Oak Ridge National Laboratory (ORNL) developing scalable software and applications on the world’s largest supercomputers for 17 years, including as a line manager and a founding group leader, where he made contributions progressing up to the Exascale Computing Project (ECP).

He is among the first cohort of recipients of the U.S. Department of Energy Early Career Award in Advanced Scientific Computing Research ($2.5 million for research over 5 years).

Over the past 25 years, he has served as a principal investigator (PI) or co-PI on several research projects sponsored by agencies including the Department of Energy (DOE), Department of Homeland Security (DHS), Air Force, DARPA, Army Research Laboratory (ARL), National Science Foundation (NSF), and industry.

His major areas of technical contributions include scalable parallel/distributed software systems, high-performance computing, GPU accelerated computing, parallel discrete event simulation, reversible computing, cyber-physical systems, and applications of machine learning.

He is the author of “Introduction to Reversible Computing,” a seminal book in the fundamental theory and analysis of energy in computation. He co-authored another book, three book chapters, and about 150 articles in conferences and journals. He has delivered several advanced tutorials and lectures in defense simulation technologies, parallel systems, and reversible computing. Five (5) of his co-authored papers received the best paper awards, in 1999, 2002, 2005, 2008, and 2014.

Dr. Perumalla served on international conference program committees and editorial boards of journals. He also held leadership roles as program chair or co-chair of multiple international conferences across areas such as parallel simulation to cybersecurity.

Some of his research software in parallel and distributed computing have been disseminated to research institutions worldwide. His algorithms and software prototypes have been scaled to over 200,000 processor cores and 1000s of GPUs on large supercomputing systems, including the Oak Ridge Leadership Computing Facility’s Jaguar, Titan, and Summit series of supercomputers.

His additional appointments included serving as Joint Full Professor in the School of Industrial and Systems Engineering at the University of Tennessee, Knoxville, as Adjunct Professor in the School of Computational Sciences and Engineering at the Georgia Institute of Technology, and as Adjunct Professor in the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln.

He also served on the Special Interest Group Governing Board of the Association for Computing Machinery (ACM) as the elected chair for ACM Special Interest Group in Simulation (SIGSIM).

He held full-time research faculty appointments 1997-2005 at the Georgia Institute of Technology. He also served as Fellow of the Institute of Advanced Study at Durham University, UK, and as member of the National Academies’ Technical Advisory Boards for the U.S. Army Research Laboratory.

He has earned certifications in Agile Development technologies as a Certified ScrumMaster, Certified Scrum Product Owner, Certified Scrum-at-Scale Practitioner, and Certified SAFe Scaled Agile Practitioner.

He previously held a Q (Top Secret) Security Clearance.

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