Georgia Tech’s Vivek Sarkar Wins 2020 ACM-IEEE CS Ken Kennedy Award

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Vivek Sarkar The Association for Computing Machinery (ACM) and IEEE Computer system Culture (IEEE CS) have named Vivek Sarkar of Ga Institute of Technological know-how winner of the 2020 ACM/IEEE CS Ken Kennedy Award. Sarkar is recognized for “foundational technical contributions to the location of programmability and productivity in parallel computing, […]

Vivek Sarkar

The Association for Computing Machinery (ACM) and IEEE Computer system Culture (IEEE CS) have named Vivek Sarkar of Ga Institute of Technological know-how winner of the 2020 ACM/IEEE CS Ken Kennedy Award.

Sarkar is recognized for “foundational technical contributions to the location of programmability and productivity in parallel computing, as nicely as management contributions to qualified service, mentoring, and educating.”

An ACM Fellow and an IEEE Fellow, Sarkar is Chair of the School of Computer system Science and the Stephen Fleming Chair in the College or university of Computing at Georgia Institute of Engineering,  Sarkar commenced his job in IBM Investigation in 1987 right after getting his Ph.D. from Stanford University, which was supervised by John Hennessy.  His exploration initiatives at IBM include things like the PTRAN automatic parallelization technique led by Fran Allen, the ASTI optimizer for IBM’s XL Fortran product or service compilers, the open up-resource Jikes Exploration Virtual Device for the Java language, and the X10 programming language created in the DARPA HPCS application.  He was a member of the IBM Academy of Technological innovation from 1995-2007.

Following transferring to academia, Sarkar has mentored about 30 Ph.D. pupils and postdoctoral researchers in the Habanero Serious Scale Software Investigation Laboratory, initial at Rice College since 2007, and now at Ga Tech considering that 2017.  Even though at Rice, Sarkar was the E.D. Butcher Chair in Engineering, and served as Chair of the Department of Laptop or computer Science. Scientists in his lab have developed the Habanero-C/C++ and Habanero-Java programming methods for parallel, heterogeneous, and dispersed platforms.  These techniques released new constructs for homogeneous and heterogeneous intra-node parallelism, as nicely as their integration with scalable inter-node communication libraries.

The Kennedy Award recognizes Sarkar’s leadership in many locations. Sarkar has made foundational specialized contributions to programmability and efficiency in parallel computing, and has developed revolutionary programming-model, compiler, and runtime technologies for parallel computing that have influenced other scientists, as properly as marketplace solutions and requirements. Sarkar has led open up supply software package assignments that have experienced sizeable effect on the exploration community, he has developed new pedagogic components to make parallel programming extra available to undergraduate learners utilizing the Coursera learner local community, and has mentored junior colleagues at IBM and various PhD college students just after relocating to academia. He has also demonstrated management in community support by serving as program chair and normal chair for significant conferences in his research location, serving on US Division of Energy’s Advanced Scientific Computing Advisory Committee (ASCAC) advisory committee considering that 2009, and on the Computing Analysis Affiliation (CRA) Board of Administrators since 2015.

The Kennedy Award carries a US $5,000 honorarium endowed by the IEEE CS and the ACM. The award will be offered to Sarkar at the SC20 digital awards plenary session on Monday afternoon, November 16, 2020.

ACM and IEEE CS co-sponsor the Kennedy Award, which was proven in 2009 to figure out considerable contributions to programmability and efficiency in computing and substantial group services or mentoring contributions. It was named for the late Ken Kennedy, founder of Rice University’s computer science plan and a world specialist on high-efficiency computing.

source: ACM and IEEE CS

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