Provendo melhorias na GSParLib
Abstract
Neste trabalho são apresentados resultados parciais do estudo que está sendo conduzido para prover melhorias de programabilidade e desempenho no framework de programação para GPUs GSParLib.
References
Araujo, G., Griebler, D., Rockenbach, D. A., Danelutto, M., and Fernandes, L. G. (2021). NAS Parallel Benchmarks with CUDA and beyond. Software: Practice and Experience.
Bailey, D. H., Barszcz, E., Barton, J. T., Browning, D. S., Carter, R. L., Fatoohi, R. A., Frederickson, P. O., Lasinski, T. A., Simon, H. D., Venkatakrishnan, V., and Weeratunga, S. K. (1994). The NAS Parallel Benchmarks RNR-94-007. Technical report, NASA Advanced Supercomputing Division, California, U.S.
Rockenbach, D. A. (2020). High-Level Programming Abstractions for Stream Parallelism on GPUs. Master’s thesis, School of Technology - PPGCC PUCRS, Porto Alegre, Brazil.
Bailey, D. H., Barszcz, E., Barton, J. T., Browning, D. S., Carter, R. L., Fatoohi, R. A., Frederickson, P. O., Lasinski, T. A., Simon, H. D., Venkatakrishnan, V., and Weeratunga, S. K. (1994). The NAS Parallel Benchmarks RNR-94-007. Technical report, NASA Advanced Supercomputing Division, California, U.S.
Rockenbach, D. A. (2020). High-Level Programming Abstractions for Stream Parallelism on GPUs. Master’s thesis, School of Technology - PPGCC PUCRS, Porto Alegre, Brazil.
Published
2022-04-18
How to Cite
ARAUJO, Gabriell; GRIEBLER, Dalvan; FERNANDES, Luiz G..
Provendo melhorias na GSParLib. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SOUTHERN BRAZIL (ERAD-RS), 22. , 2022, Curitiba.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 113-114.
ISSN 2595-4164.
DOI: https://doi.org/10.5753/eradrs.2022.19188.
