Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures

We have developed several autotuning benchmarks in CUDA that take into account performance-relevant source-code parameters and reach near peak-performance on various GPU architectures. We have used them during the development and evaluation of a search method for tuning space proposed in [1]. With o...

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Detalles Bibliográficos
Autores principales: Hozzová, Jana, Filipovič, Jiří, Nezarat, Amin, Ol’ha, Jaroslav, Petrovič, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633859/
https://www.ncbi.nlm.nih.gov/pubmed/34877392
http://dx.doi.org/10.1016/j.dib.2021.107631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633859/
https://www.ncbi.nlm.nih.gov/pubmed/34877392
http://dx.doi.org/10.1016/j.dib.2021.107631

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