Manish Parashar

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Manish Parashar is a Presidential Professor in the School of Computing, Director of the Scientific Computing and Imaging (SCI) Institute and Chair in Computational Science and Engineering at the University of Utah.[1] He also currently serves as Office Director in the US National Science Foundation’s Office of Advanced Cyberinfrastructure.[2] Parashar is the editor-in-chief of IEEE Transactions on Parallel and Distributed Systems,[3] and Founding Chair of the IEEE Technical Community on High Performance Computing.  He is an AAAS Fellow, ACM Fellow, and IEEE Fellow.[4]

As a leader in cyberinfrastructure research and policy, he has advocated for a national strategic computing reserve and the democratization of cyberinfrastructure’s use and impact. He also focuses on the importance of translational computer science, which bridges foundational, use-inspired, and applied research with the delivery and deployment of its outcomes to a target community.[5]

Early life[edit]

Parashar received a BE degree in Electronics and Telecommunications from Bombay University, India, and MS and PhD degrees in Computer Engineering from Syracuse University. Prior to joining the University of Utah, he was a faculty member at Rutgers University.[6]

Career[edit]

Parashar’s work enables advanced application formulations, such as those based on dynamically adaptive, coupled methods, and data-driven workflows, to be implemented on extreme-scale high-performance computing systems. His contributions have included innovations in data structures and algorithms,[7] programming abstractions, and runtime systems.[8] He has pioneered the use of autonomic computing techniques to address application/system complexity and uncertainty.[9] He has also deployed open-source software encapsulating these research innovations, which directly impact a range of applications.[10]

A leader in structured adaptive mesh refinement, Parashar is one of the earliest researchers to address scalable SAMR. His research has included a theoretical framework for locality preserving distributed and dynamic data-structures for SAMR, programming abstractions that enable distributed, dynamically adaptive formulations to be directly expressed, and a family of innovative partitioning algorithms that incorporate system/applications characteristics, and mechanisms for actively managing SAMR grid-hierarchies.[11] These contributions continue to enable truly scalable SAMR applications and have led to realistic simulations of complex phenomena, such as colliding black-holes and neutron stars, forest fire propagation, and fluid flows in the human heart.[12]

As Assistant Director for Strategic Computing in the US Office of Science and Technology Policy, Parashar led the development of a national strategy for the Future Advanced Computing Ecosystem and the formulation of the National Strategic Computing Reserve in response to the COVID-19 pandemic.[13]

Since becoming Office Director at the National Science Foundation’s Office of Advanced Cyberinfrastructure, Parashar has led the development of NSF’s strategic vision for a National Cyberinfrastructure Ecosystem for 21st century science and engineering.[14] A key element of this vision is ensuring equitable access and democratizing cyberinfrastructure’s use and impact.[15] He also co-chairs the National Science and Technology Council’s Subcommittee on the Future Advanced Computing Ecosystem.[16]

Awards and recognitions[edit]

  • AAAS Fellow[17]
  • ACM Fellow[18]
  • IEEE Fellow[19]
  • IEEE Golden Core award[20]
  • IEEE T&C Distinguished Leadership Award[21]
  • R&D 100 Award[22]

References[edit]

  1. ^ "People". sci.utah.edu. Retrieved 2022-11-18.
  2. ^ Russell, John (2018-03-05). "NSF Elevates Irene Qualters and Manish Parashar". HPCwire. Retrieved 2022-11-18.
  3. ^ "IEEE Transactions on Parallel and Distributed Systems | IEEE Xplore". ieeexplore.ieee.org. Retrieved 2022-11-18.
  4. ^ vincenth (2022-07-01). "Parashar Named Presidential Professor". The College of Engineering at the University of Utah. Retrieved 2022-11-18.
  5. ^ Abramson, David; Parashar, Manish (September 2019). "Translational Research in Computer Science". Computer. 52 (9): 16–23. doi:10.1109/MC.2019.2925650. ISSN 1558-0814. S2CID 201739141.
  6. ^ vincenth (2022-07-01). "Parashar Named Presidential Professor". The College of Engineering at the University of Utah. Retrieved 2022-11-18.
  7. ^ Qin, Yubo; Rodero, Ivan; Parashar, Manish (May 2022). "Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery". Computing in Science & Engineering. 24 (3): 52–60. arXiv:2112.06479. Bibcode:2022CSE....24c..52Q. doi:10.1109/MCSE.2022.3179408. ISSN 1558-366X.
  8. ^ Steensland, J.; Chandra, S.; Parashar, M. (December 2002). "An application-centric characterization of domain-based SFC partitioners for parallel SAMR". IEEE Transactions on Parallel and Distributed Systems. 13 (12): 1275–1289. doi:10.1109/TPDS.2002.1158265. ISSN 1558-2183.
  9. ^ Jin, Tong; Zhang, Fan; Sun, Qian; Romanus, Melissa; Bui, Hoang; Parashar, Manish (2020-12-01). "Towards autonomic data management for staging-based coupled scientific workflows". Journal of Parallel and Distributed Computing. 146: 35–51. doi:10.1016/j.jpdc.2020.07.002. ISSN 0743-7315. S2CID 225011569.
  10. ^ Docan, Ciprian; Parashar, Manish; Klasky, Scott (2012-06-01). "DataSpaces: an interaction and coordination framework for coupled simulaiton workflows". Cluster Computing. 15 (2): 163–181. doi:10.1007/s10586-011-0162-y. ISSN 1573-7543. S2CID 36207749.
  11. ^ Parashar, Manish; Browne, James C. (2000). "Systems Engineering for High Performance Computing Software: The HDDA/DAGH Infrastructure for Implementation of Parallel Structured Adaptive Mesh". In Baden, Scott B.; Chrisochoides, Nikos P.; Gannon, Dennis B.; Norman, Michael L. (eds.). Structured Adaptive Mesh Refinement (SAMR) Grid Methods. The IMA Volumes in Mathematics and its Applications. Vol. 117. New York, NY: Springer. pp. 1–18. doi:10.1007/978-1-4612-1252-2_1. ISBN 978-1-4612-1252-2.
  12. ^ Steensland, J.; Chandra, S.; Parashar, M. (December 2002). "An application-centric characterization of domain-based SFC partitioners for parallel SAMR". IEEE Transactions on Parallel and Distributed Systems. 13 (12): 1275–1289. doi:10.1109/TPDS.2002.1158265. ISSN 1558-2183.
  13. ^ Friedlander, Manish Parashar,Amy. "The U.S. Needs a National Strategic Computing Reserve". Scientific American. Retrieved 2022-11-18.{{cite web}}: CS1 maint: multiple names: authors list (link)
  14. ^ Parashar, Manish; Friedlander, Amy; Gianchandani, Erwin; Martonosi, Margaret (2022-07-21). "Transforming science through cyberinfrastructure". Communications of the ACM. 65 (8): 30–32. doi:10.1145/3507694. ISSN 0001-0782. S2CID 250925591.
  15. ^ Parashar, Manish (September 2022). "Democratizing Science Through Advanced Cyberinfrastructure". Computer. 55 (9): 79–84. doi:10.1109/MC.2022.3174928. ISSN 1558-0814.
  16. ^ "National Science and Technology Council (NSTC) | OSTP". The White House. Retrieved 2022-11-18.
  17. ^ vincenth (2022-07-01). "Parashar Named Presidential Professor". The College of Engineering at the University of Utah. Retrieved 2022-11-18.
  18. ^ vincenth (2022-07-01). "Parashar Named Presidential Professor". The College of Engineering at the University of Utah. Retrieved 2022-11-18.
  19. ^ vincenth (2022-07-01). "Parashar Named Presidential Professor". The College of Engineering at the University of Utah. Retrieved 2022-11-18.
  20. ^ "Golden Core Recognition | IEEE Computer Society". 4 April 2018. Retrieved 2022-11-18.
  21. ^ vincenth (2022-07-01). "Parashar Named Presidential Professor". The College of Engineering at the University of Utah. Retrieved 2022-11-18.
  22. ^ "Two Technologies With Ties to Rutgers Win R&D 100 Awards". www.rutgers.edu. Retrieved 2022-11-18.
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