Analytical performance estimation during code generation on modern GPUs-Reference-Cited by-同舟云学术

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Analytical performance estimation during code generation on modern GPUs

Published:2023-03 Issue: Volume:173 Page:152-167
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Ernst Dominik^ORCID,Holzer Markus,Hager Georg,Knorr Matthias,Wellein Gerhard

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference24 articles.

1. Code generation for massively parallel phase-field simulations;Bauer,2019

2. lbmpy: automatic code generation for efficient parallel lattice Boltzmann methods;Bauer;J. Comput. Sci.,2021

3. Opening the black box: performance estimation during code generation for GPUs;Ernst,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a central-moment phase-field lattice Boltzmann model for thermocapillary flows: Droplet capture and computational performance;Journal of Computational Physics;2024-12

2. Starlight: A kernel optimizer for GPU processing;Journal of Parallel and Distributed Computing;2024-05

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