A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem

Pandi, Ramesh Ramasamy; Ho, Song Guang; Nagavarapu, Sarat Chandra; Dauwels, Justin

doi:10.1109/tits.2020.2992560

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Parallel Computing Approaches1

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Cited by 4 publications

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“…However, none of the journal publications are found (except the publications resulted out of this thesis) for the GPU-based solution techniques for the DARP. Ramesh et al 2020a [130] (Chapter 3 of this thesis) present the GPU-accelerated framework to accelerate metaheuristic approaches for solving the dial-a-ride problem.…”

Section: Parallel Computing Approachesmentioning

confidence: 99%

“…Parallel computing technologies (e.g., GPU) are turning out to be an essential tool for solving complex real-world problems in computer science. The challenge of adopting GPU for exact methods may involve a significant number of challenges [130] ranging from optimally mapping the data structures to designing efficient CUDA kernels. Melab et al 2012 [3] developed a GPU-accelerated branch-andbound for the flowshop scheduling problem.…”

Section: 24mentioning

confidence: 99%

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