Intel® Parallel Computing Center at Indian Institute of Science

Principal Investigators:

Ravi S Nanjundiah, ProfessorRavi S Nanjundiah is a professor at Centre for Atmospheric and Oceanic Sciences (CAOS), Indian Institute of Science (IISc), Bengaluru. He is currently the chairman of CAOS. He did his Masters in Mechanical Engineering and Ph D in Atmospheric Science from IISc and was a post-doctoral fellow at the Mathematics and Computer Science Division of Argonne National Laboratory. He is an adjunct faculty of the International Centre for Theoretical Sciences, TIFR, Bengaluru and associate faculty at the Divecha Centre for Climate Change, IISc. His research interests include studying the Indian Summer Monsoon, using HPC for climate and weather modelling.

P N Vinayachandran, ProfessorP. N. Vinayachandran is a professor of oceanography at Centre for Atmospheric and Oceanic Sciences (CAOS), Indian Institute of Science (IISc), Bengaluru. He obtained his Ph. D. from Indian Institute of Science, did postdoctoral research at University of Tokyo and  worked as a senior research at Frontier Research System for Global Change, Tokyo, before joining as a faculty at CAOS. His research expertise is in Indian Ocean Dynamics and Ocean Modeling. He has received SSB prize and is a fellow of the Indian Academy of Sciences and National Academy of Sciences India.


Sathish S Vadhiyar, Associate ProfessorSathish Vadhiyar is an Associate Professor in Supercomputer Education and Research Centre, Indian Institute of Science. He obtained his B.E. degree in the Department of Computer Science and Engineering at Thiagarajar College of Engineering, India in 1997 and received his Masters degree in Computer Science at Clemson University, USA in 1999. He graduated with a PhD in the Computer Science Department at University of Tennessee, USA in 2003. His research areas are in building application frameworks including runtime frameworks for irregular applications, hybrid execution strategies, and programming models for accelerator-based systems, processor allocation, mapping and remapping strategies for Torus networks for different application classes including irregular, multi-physics, climate and weather applications, middleware for production supercomputer systems, and fault tolerance for large-scale systems. Dr. Vadhiyar is a member of IEEE and has published papers in peer-reviewed journals and conferences. He was a tutorial chair in eScience 2007, and session chair in eScience 2007 and ICS 2013, and served on the program committees of conferences related to parallel and grid computing including IPDPS, CCGrid, eScience and HiPC.


Monsoons play a vital role in modulating the life of people in India (in particular) and East-South Asia in general. More than about a quarter of the human population is influenced by this gigantic climate system. Hence prediction of the monsoons has been one of the earliest challenges taken on in Meteorology starting with the pioneering efforts of Sir Gilbert Walker in the early 20th Century. With climate change being a major cause of concern it is necessary to understand the impact of this on the monsoons. However, prediction of monsoons has been a major problem for most numerical models. The complex set of processes involving ocean, atmosphere and land with the highest mountains in the world and interacting dynamically make it a difficult system to model and simulate. Monsoon simulation present challenges from computational and climate modelling stand points which need to be addressed. Recent improvements in computational technologies have facilitated incorporating physical processes in a more realistic fashion. New emerging technologies such as the Intel Xeon Phi™ present an opportunity that did not exist before to accelerate climate related computations.

The Intel® Parallel Computing Center (Intel® PCC) MMTC plans to address the issue of computational challenges related to modelling of climate. We propose to analyze NCAR CESM's computational profile and adapt appropriate strategies to improve its speed exploiting features of Intel Xeon Phi™. All computational components of CESM will be examined to determine candidates to be taken up for acceleration. Issues related to scalability and load imbalances will also be addressed. The work done in this Intel® PCC will be complementary to the one taken up by the Intel® PCC on Climate and Weather at NCAR. The experience gained in this effort would be disseminated through lectures in workshops/conferences, at seminars inside and outside IISc and by means of journal publications, technical reports and white papers. The modified software developed through this effort would be made available as open source software through the NCAR CESM repository.

Related Websites:

For more complete information about compiler optimizations, see our Optimization Notice.