Large-Scale Loops Parallelization for GPU Accelerators
А.Yu. Doroshenko, O.G. Beketov · 2019
The technique that allows to extend GPU capabilities to deal with data volumes that outfit internal GPU's memory capacity is developed. The technique involves loop tiling and data serialization and could be applied to utilize clusters consisting of several GPUs. Applicability criterion is specified. Transforming scheme designed and semiautomatic proof-of-concept software tool are imple- mented. Conducted an experiment to demonstrate the feasibility of the proposed approach.