Skip to Content

Rakesh Nagi

2020

Shardul Natu, Ketan Date, and Rakesh Nagi (2020): GPU-accelerated Lagrangian heuristic for multidimensional assignment problems with decomposable costs, Parallel Computing, Elsevier B.V., Vol 97, pp102666

2019

Ketan Date and Rakesh Nagi (2019): Level 2 Reformulation Linearization Technique-Based Parallel Algorithms for Solving Large Quadratic Assignment Problems on Graphics Processing Unit Clusters, INFORMS Journal on Computing, The Institute for Operations Research and the Management Sciences (INFORMS), Vol 31, Num 4, pp771-789

2016

Ketan Date and Rakesh Nagi (2016): GPU-Accelerated Hungarian Algorithms for the Linear Assignment Problem, Parallel Computing, Elsevier BV, Vol 57, Num C, pp52

2018

Rakesh Nagi, Ketan Date (2018): Parallel Algorithms for Solving Large Multidimensional Assignment Problems with Decomposable Costs, 2018 Blue Waters Annual Report, pp194-195

2017

Rakesh Nagi (2017): Parallel Algorithms for Solving Large Assignment Problems, 2017 Blue Waters Annual Report, pp178-179

2016

Rakesh Nagi (2016): Parallel Algorithms for Solving Large Assignment Problems, 2016 Blue Waters Annual Report, pp164-166

Blue Waters Illinois allocations awarded to 26 research teams


Mar 7, 2017

Twenty-six research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Application's (NCSA) sustained-petascale Blue Waters supercomputer after applying in Fall 2016. These allocations range from 25,000 to 600,000 node-hours of compute time over a time span of either six months or one year. The research pursuits of these teams are incredibly diverse, ranging anywhere from physics to political science.


Sources: