Performance analysis of GPU accelerated meshfree q-LSKUM solvers in Fortran, C, Python, and Julia-Reference-Cited by-同舟云学术

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

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)
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Author:

Mamidi Nischay Ram¹,Saxena Dhruv²,Prasun Kumar³,Nemili Anil²,Sharma Bharatkumar⁴,Deshpande S. M.⁵

Affiliation:

1. BITS Pilani, Hyderabad Campus,Centre for High Performance Computing,Hyderabad,India

2. BITS Pilani, Hyderabad Campus,Department of Mathematics,Hyderabad,India

3. Courant Institute of Mathematical Sciences,Department of Computer Science,New York,USA

4. NVIDIA,Bengaluru,India

5. FASc, FNAE, FAeSI Fellow,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10106277/10106278/10106310.pdf?arnumber=10106310

Reference32 articles.

1. Kinetic mesh-free method for flutter prediction in turbomachines

2. Development and Validation of a Grid-Free Viscous Solver

3. NVIDIA cuda software and gpu parallel computing architecture

4. Positivity preservation, stencil selection and applications of LSKUM to 3-D inviscid flows

5. Developer Tools Documentation,2021

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