Research

Funding

Co-PI, NSF project: Cyber-Enabled Water and Energy Systems Sustainability Utilizing Climate Information (Total: $1.2 million)
Personnel, ECP-ACME project
Personnel, ACME-Performance project

Projects

Exascale Computing Project (ECP)
Development of ACME-MMF application.

Accelerated Climate Model for Energy (ACME)
Member of ACME-Performance group.

SUPER-EFRC (Energy Frontier Research Center) Pilot
Optimization of WastePD applications and workflow.

Oxbow: Performance Analytics for Exascale Co-design
Architected a data analytics platform for exascale application characterization called Performance Analytics Data Store (PADS) using MongoDB.
Design and development of a visual analytics portal for data exploration and analysis.
Exploring machine learning techniques for novel insights into experiment data.

SUPER: Institute for Sustained Performance, Energy and Resilience
Communication characterization and optimization of large scale scientific applications, Fusion (XGC) and Climate (CESM).
Development and performance optimization of techniques for mapping processes to processor cores at runtime so as to minimize communication overhead by taking advantage of network topology.

CESAR: Center for Exascale Simulation of Advanced Reactors
Characterization and validation of various proxy apps from the co-design centers.

Interests

High Performance Computing, Data/Performance Analytics, Exascale Co-design, Optimization Algorithms, Computational Intelligence, Parallel I/O, Performance Analysis and Optimization.
MODELING DOMAINS: Water Distribution Systems, Groundwater, Energy Economy Optimization.

Publications

Journals


  • Kevin Hunter, Sarat Sreepathi, Joseph F. DeCarolis, Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa), Energy Economics, Volume 40, November 2013, Pages 339-349, ISSN 0140-9883.

  • Joseph DeCarolis, Kevin Hunter and Sarat Sreepathi, The Case for Repeatable Analysis with Energy Economy Optimization Models, Energy Economics, Volume 34, Issue 6, November 2012, Pages 1845–1853.

  • Jacqueline Chame, Chun Chen, Mary Hall, Jeffrey K. Hollingsworth, Kumar Mahinthakumar, Gabriel Marin, Shreyas Ramalingam, Sarat Sreepathi, Vamsi Sripathi, Ananta Tiwari, PERI Autotuning of PFLOTRAN, In Journal of Physics, Proceedings of SciDAC July 2011.

  • Sarat Sreepathi, Kumar Mahinthakumar, Emily Zechman, Ranji Ranjithan, Downey Brill, Xiaosong Ma, and Gregor von Laszewski, Cyberinfrastructure for Contamination Source Characterization in Water Distribution systems, Lecture Notes in Computer Science, Volume 4487/2007 (International Conference on Computational Science (1) 2007: 1058-1065)

  • G. Mahinthakumar, G. von Laszewski, S. Ranjithan, E. D. Brill, J. Uber, K. W. Harrison, S. Sreepathi, and E. M. Zechman, An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems, Lecture Notes in Computer Science, Springer-Verlag, pp. 401-408, 2006.( International Conference on Computational Science (3) 2006: 401-408)

  • P. Worley, J. Candy, L. Carrington, K. Huck, T. Kaiser, G. Mahinthakumar, A. Maloney, S. Moore, D. Reed, P. Roth, H. Shan, S. Shende, A. Snavely, S. Sreepathi, F. Wolf, and Y. Zhang, Performance Analysis of GYRO: A Tool Evaluation, Journal of Physics: Conference Series, 16 (2005), pp. 551-555. (Proceedings of the 2005 SciDAC Conference, San Francisco, CA, June 26-30, 2005.)

Conference Papers


  • Sarat Sreepathi, Ed D’Azevedo, Bobby Philip, and Patrick Worley,Communication Characterization and Optimization of Applications Using Topology-Aware Task Mapping on Large Supercomputers, In Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE). ACM, March 12-18, 2016. DOI: 10.1145/2851553.2851575

  • M.L. Grodowitz, Sarat Sreepathi,Hierarchical Clustering and K-means Analysis of HPC Application Kernels Performance Characteristics, Nineteenth Annual IEEE High Performance Extreme Computing Conference (HPEC ‘15), Waltham, MA, September 15-17,2015. DOI: 10.1109/HPEC.2015.7322484

  • Sarat Sreepathi, Megan Grodowitz, Robert Lim, Philip Taffet, Philip Roth, Jeremy Meredith, Seyong Lee, Dong Li, and Jeffrey Vetter, Application Characterization using Oxbow Toolkit and PADS Infrastructure, First International Workshop on Hardware-Software Co-Design for High Performance Computing (Co-HPC 2014), In conjunction with SC’14, November 17, 2014, New Orleans, LA.

  • Sarat Sreepathi, Vamsi Sripathi, Richard Mills, Glenn Hammond, G. Kumar Mahinthakumar, SCORPIO: A Scalable Two-Phase Parallel I/O Library With Application to a Large Scale Subsurface Simulator, IEEE Conference on High Performance Computing (HiPC) 2013, Bengaluru, India.

  • Sarat Sreepathi, Downey Brill, Ranji Ranjithan and Gnanamanikam Mahinthakumar, Parallel Multi-Swarm Optimization Framework for Search Problems in Water Distribution Systems , Proceedings of World Environmental and Water Resources Congress 2012, Albuquerque, NM.

  • Joseph DeCarolis, Kevin Hunter and Sarat Sreepathi, The TEMOA Project: Tools for Energy Model Optimization and Analysis, International Energy Workshop 2010, Stockholm, Sweden, June 21-23, 2010.

  • Jitendra Kumar, Sarat Sreepathi, Downey Brill, G. Kumar Mahinthakumar, S. Ranjithan, Detection of leaks in water distribution systems using routine water quality measurements , Proceedings of World Environmental and Water Resources Congress 2010, Providence, Rhode Island, USA

Conference Talks and Posters


  • Sarat Sreepathi, Optimus: A Parallel Optimization Framework With Topology Aware PSO and Applications ( Poster ), ACM Student Research Competition (SRC) Poster at SC '12 : 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, UT, November 10-16, 2012. (Won Gold medal)

  • Sarat Sreepathi and G.Kumar Mahinthakumar, Optimus: A Scalable Parallel Metaheuristic Optimization Framework With Topology Aware PSO and Applications, Talk at Swarmfest, Charlotte, NC, July 29-30, 2012.

  • Sarat Sreepathi and G.Kumar Mahinthakumar, Parallel Metaheuristic Optimization Framework for Population-Based Search Algorithms with Environmental Applications, Lecture at SIAM Conference on Parallel Processing for Scientific Computing, Savannah, GA, February 15-17, 2012.

  • Richard T. Mills, Sarat Sreepathi, Vamsi Sripathi, Kumar G. Mahinthakumar, Glenn Hammond, Peter Lichtner, Barry F. Smith, Jitendra Kumar, and Gautam Bisht. Engineering the PFLOTRAN subsurface flow and reactive transport code for scalable performance on leadership-class supercomputers, 15th SIAM Conference on Parallel Processing for Scientific Computing, Savannah, Georgia, February 15-17, 2012 .

  • Joseph DeCarolis, Kevin Hunter and Sarat Sreepathi, Multi-stage stochastic optimization of a simple energy system, International Energy Workshop 2012, Cape Town, South Africa.

  • Sarat Sreepathi, Vamsi Sripathi, Glenn Hammond, Richard Mills, and G. Kumar Mahinthakumar. Poster: A Scalable Two-Phase Parallel I/O Library with Application to a Large Scale Subsurface Simulator, In Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion (SC '11 Companion). ACM, New York, NY, USA, 67-68.

  • Sarat Sreepathi and G. Kumar Mahinthakumar, Poster: Parallel Multi-Swarm Optimization Framework for Search Problems in Water Distribution Systems, EAP Workshop at Supercomputing 2011 Conference.

  • Joe DeCarolis, Kevin Hunter, Sarat Sreepathi, Designing Robust Hedging Strategies for U.S. Electric Sector Planning Under an Uncertain Climate Policy , USAEE/IAEE (International Association for Energy Economics) Conference Calgary, Canada October, 2010.

  • Sarat Sreepathi, Simulation-Optimization for Threat Management in Urban Water Systems , Application Driven Design for a Large-Scale, Multi-Purpose Grid Infrastructure, Demo at Fall 2006 Internet2 Meeting, Chicago, IL, December 2006.

  • Patrick Worley, Jeff Candy, Laura Carrington, Kevin Huck, Tim Kaiser, Kumar Mahinthakumar, Allen Malony, Dan Reed, Philip Roth, Hongzhang Shan, Sameer Shende, Allan Snavely, Sarat Sreepathi, Ying Zhang, Tools or No tools?: A parallel performance analysis case study (extended abstract), Poster Presentation at Supercomputing 2006.