Ramesh Balakrishnan

Fellow

Biography

Ramesh Balakrishnan is a Computational Scientist at Argonne National Laboratory, a U.S.   Department of Energy scientific research laboratory. Ramesh is also a Fellow at the   Computation Institute of the University of Chicago and Argonne National Laboratory. He is  an Aerospace Engineer by training who has several years of experience in developing structured and unstructured mesh CFD codes for modeling turbulence in complex geometries.   His research work involves developing a number of Open Source and proprietary CFD solvers on the IBM Blue Gene/Q at Argonne. The questions that motivate much of his current research  and development are: a) how does one harness the CFD flow solvers created by the Open Source community to solve some of the "real" fluid dynamics problems that industries have to contend with, and b) can one craft high performance flow solvers from the software libraries created by the various U.S. DoE laboratories?  His collaborators include researchers from industry, academia, and national laboratories,   in the United States and Europe, who pursue research involving massively parallel computations at Argonne via the U.S. DoE INCITE and ALCC initiatives. He is an author or co-author of about thirty refereed publications that include journals such as the Journal of Fluid Mechanics and Physics of Fluids.    Prior to joining Argonne in 2008, Ramesh was for almost nine years at the University of Illinois at Urbana-Champaign, first with the DoE ASCI funded Center for Simulation of Advanced Rockets, and then with the National Center for Supercomputing Applications. He participated in the development of parallel multi-physics solvers, for radiation hydrodynamics and direct numerical simulation of turbulence. He also collaborated with  industry on projects involving the use of commercial CFD solvers. He also has a fair bit  of experience with improving the performance of scientific codes and has contributed to proposals that have resulted in the deployment of large federally funded computing platforms at NCSA.