An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems. - G. (Kumar) Mahinthakumar; Gregor von Laszewski; S. Ranji Ranjithan; Downey Brill; Jim Uber; Ken Harrison; Sarat Sreepathi; Emily M. Zechman (International Conference on Computational Science (3), 2006)

Cyberinfrastructure for Contamination Source Characterization in Water Distribution Systems. - Sarat Sreepathi; G. (Kumar) Mahinthakumar; Emily M. Zechman; S. Ranji Ranjithan; Downey Brill; Xiaosong Ma; Gregor von Laszewski (International Conference on Computational Science (1), 2007)

Poster: a scalable two-phase parallel I/O library with application to a large scale subsurface simulator. - Sarat Sreepathi; Vamsi Sripathi; Glenn Hammond; Richard Tran Mills; G. (Kumar) Mahinthakumar (SC Companion, 2011)

Optimus: A Parallel Optimization Framework with Topology Aware PSO and Applications. - Sarat Sreepathi (SC Companion, 2012)

Poster: Optimus: A Parallel Optimization Framework with Topology Aware PSO and Applications. - Sarat Sreepathi (SC Companion, 2012)

SCORPIO: A scalable two-phase parallel I/O library with application to a large scale subsurface simulator. - Sarat Sreepathi; Vamsi Sripathi; Richard Tran Mills; Glenn Hammond; G. (Kumar) Mahinthakumar (HiPC, 2013)

Application characterization using Oxbow toolkit and PADS infrastructure. - Sarat Sreepathi; M. L. Grodowitz; Robert V. Lim; Philip Taffet; Philip C. Roth; Jeremy S. Meredith; Seyong Lee; Dong Li 001; Jeffrey S. Vetter (Co-HPC@SC, 2014)

Hierarchical clustering and k-means analysis of HPC application kernels performance characteristics. - M. L. Grodowitz; Sarat Sreepathi (HPEC, 2015)

Communication Characterization and Optimization of Applications Using Topology-Aware Task Mapping on Large Supercomputers. - Sarat Sreepathi; Eduardo F. D'Azevedo; Bobby Philip; Patrick H. Worley (ICPE, 2016)

Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers. - Sarat Sreepathi; Jitendra Kumar 001; Richard Tran Mills; Forrest M. Hoffman; Vamsi Sripathi; William W. Hargrove (CLUSTER, 2017)

Performance analysis and optimization of the RAMPAGE metal alloy potential generation software. - Philip C. Roth; Hongzhang Shan; David Riegner; Nikolas Antolin; Sarat Sreepathi; Leonid Oliker; Samuel Williams 001; Shirley Moore; Wolfgang Windl (SEPS@SPLASH, 2017)

Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. - Richard Tran Mills; Vamsi Sripathi; Jitendra Kumar 001; Sarat Sreepathi; Forrest M. Hoffman; William W. Hargrove (ICDM Workshops, 2018)

Early Evaluation of Fugaku A64FX Architecture Using Climate Workloads. - Sarat Sreepathi; Mark Taylor (CLUSTER, 2021)

Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. - Matthew R. Norman; David A. Bader; Christopher Eldred; Walter M. Hannah; Benjamin R. Hillman; Christopher R. Jones; Jungmin M. Lee; L. Ruby Leung; Isaac Lyngaas; Kyle G. Pressel; Sarat Sreepathi; Mark A. Taylor; et al. (Int. J. High Perform. Comput. Appl., 2022)

Experiences readying applications for Exascale. - Nicholas Malaya; Bronson Messer; Joseph Glenski; Antigoni Georgiadou; Justin Lietz; Kalyana C. Gottiparthi; Marc Day; Jackie Chen; Jon S. Rood; Lucas Esclapez; James B. White III; Gustav R. Jansen; et al. (SC, 2023)

The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. - Mark Taylor; Peter M. Caldwell; Luca Bertagna; Conrad Clevenger; Aaron Donahue; James G. Foucar; Oksana Guba; Benjamin R. Hillman; Noel Keen; Jayesh Krishna; Matthew R. Norman; Sarat Sreepathi; et al. (SC, 2023)

Perspectives on AI Architectures and Co-design for Earth System Predictability. - Maruti K. Mudunuru; James A. Ang; Mahantesh Halappanavar; Simon D. Hammond; Maya B. Gokhale; James C. Hoe; Tushar Krishna; Sarat Sreepathi; Matthew R. Norman; Ivy Bo Peng; Philip W. Jones (CoRR, 2023)

Experiences Readying Applications for Exascale. - Paul T. Bauman; Reuben D. Budiardja; Dmytro Bykov; Noel Chalmers; Jacqueline Chen; Nicholas Curtis; Marc Day; Markus Eisenbach 002; Lucas Esclapez; Alessandro Fanfarillo; William Freitag; Nicholas Frontiere; et al. (CoRR, 2023)