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Evaluating the performance and cost of accelerating seismic processing with CUDA, OpenCL, OpenACC, and OpenMP

Evaluating the performance and cost of accelerating seismic processing with CUDA, OpenCL, OpenACC, and OpenMP

Tiago L. Gimenes, Flávia Pisani, Edson Borin

ARTIGO

Inglês

The Common Midpoint and Common Reflection Surface methods are computationally demanding seismic processing techniques for improving signal-to-noise ratios. In this paper, we discuss the performance results and the cost-benefit of accelerating these two pr

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

2966/2014

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

140653/2017-1

fechado

Evaluating the performance and cost of accelerating seismic processing with CUDA, OpenCL, OpenACC, and OpenMP

Tiago L. Gimenes, Flávia Pisani, Edson Borin

										

Evaluating the performance and cost of accelerating seismic processing with CUDA, OpenCL, OpenACC, and OpenMP

Tiago L. Gimenes, Flávia Pisani, Edson Borin

    Fontes

    IPDPS Proceedings (Fonte avulsa)