7763
Sami M. Salamin, Mohammed Aldasht, Hashem Tamimi
This paper introduces an Enhanced Multi Objective Genetic Algorithm (E-MOGA) running on Compute Unified Device Architecture (CUDA) hardware, as a general purpose tool that can solve conflict optimization problems. The tool demonstrates significant speed gains using affordable, scalable and commercially available hardware. The objectives of this research are: to enhance the general purpose Multi Objective […]
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Ping Guo, Liqiang Wang
Graphics Processing Unit (GPU) has become an attractive coprocessor for scientific computing due to its massive processing capability. The sparse matrix-vector multiplication (SpMV) is a critical operation in a wide variety of scientific and engineering applications, such as sparse linear algebra and image processing. This paper presents an auto-tuning framework that can automatically compute and […]
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