This paper focuses on matrix multiplication algorithm, particularly square parallel matrix multiplication using Computer Unified Device Architecture (CUDA) programming model with …
Целью исследования является повышение эффективности алгоритма Дейкстры за счет использования модели разделяемой памяти с библиотекой OpenMP и работы по …
This paper concentrates on a parallel acceleration method of optimizing Gaussian hyper- parameters with the maximum likelihood estimation. In the process of optimizing the hyper …
T Handhika - IOP Conference Series: Materials Science and …, 2020 - iopscience.iop.org
This paper addresses the performance analysis of sparse matrix-vector multiplication through hypergraph partitioning techniques using CUDA GPU-based parallel computing …