Agarwal, Suvigya and Yadav, Aishwarya and Parwani, Disha and Mayya, Veena (2019) An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms. In: International Conference on Advanced Computing Networking and Informatics, 04/06/2018, Central Computer Center, National Institute of Tec.
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Abstract
Modern graphics processors provide high processing power and furthermore, frameworks like CUDA increases their usability as high-performance co-processors for general-purpose computing. The GPUs can be easily programmed using CUDA. This paper presents an efficient parallel implementation of CPU Scheduling Algorithms on modern GPUs. The proposed method achieves high speed by efficiently exploiting the data parallelism computing of the GPU.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Parallel Scheduling, GPU Programming |
Subjects: | Engineering > MIT Manipal > Information and Communication Technology |
Depositing User: | MIT Library |
Date Deposited: | 24 Jul 2019 05:00 |
Last Modified: | 24 Jul 2019 05:00 |
URI: | http://eprints.manipal.edu/id/eprint/154236 |
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