Performance analysis of GPU accelerated meshfree q-LSKUM solvers in Fortran, C, Python, and Julia

This paper presents a comprehensive analysis of the performance of Fortran, C, Python, and Julia based GPU accelerated meshfree solvers for compressible flows. The programming model CUDA is used to develop the GPU codes. The meshfree solver is based on the least squares kinetic upwind method with en...

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Veröffentlicht in:	Proceedings - International Conference on High Performance Computing S. 156 - 165
Hauptverfasser:	Mamidi, Nischay Ram, Saxena, Dhruv, Prasun, Kumar, Nemili, Anil, Sharma, Bharatkumar, Deshpande, S. M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2022
Schlagworte:	Benchmark testing Code optimisation Codes CUDA Entropy Fortran GPUs Graphics processing units Julia Kinetic theory LSKUM Measurement Mesh-free methods Performance analysis Python
ISSN:	2640-0316
Online-Zugang:	Volltext
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