Manish Parashar

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Manish Parashar (born 21 January 1967) is a Presidential Professor in the School of Computing, Director of the Scientific Computing and Imaging 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]

Contents

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

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

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

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References

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  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.
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