An efficient data Parallelization of the Radix-23 (Carbon) FFT on GPU/CPU

Jaber, M. A., Massicotte, D., Jaber, R. A. et Nesmith, K. (2019, May 26-29). An efficient data Parallelization of the Radix-23 (Carbon) FFT on GPU/CPU. Dans 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan DOI 10.1109/ISCAS.2019.8702380.

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Résumé

Solving Complex Problem that is coupled with intensive workloads; necessities the access to a massively parallel computational power. Up to date, Graphic Processing Units (GPUs) are the only architecture that could handle the most complex computationally intensive workloads. In the light of this rapid-growing advancement in computational technologies, this paper will propose a high-performance parallel radix-2³ FFT suitable for such GPU and CPU systems. The proposed algorithm could reduce the computational complexity by a factor that tends to reach p_r if implemented in parallel (pr is the number of cores/threads) plus the combination phase to complete the required FFT.

Type de document:	Document issu d'une conférence ou d'un atelier
Mots-clés libres:	Fast Fourier Transform Parallel FFT GPU CPU
Date de dépôt:	09 mai 2022 13:32
Dernière modification:	09 mai 2022 13:32
URI:	https://depot-e.uqtr.ca/id/eprint/10146

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