15 citations · 52 across the 9 of their papers we have counts for
Showing 2015 · cs.DCShow all
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cs.DC2015★ 2 cited
Improving the performance of the linear systems solvers using CUDA
Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu
Parallel computing can offer an enormous advantage regarding the performance for very large applications in almost any field: scientific computing, computer vision, databases, data…
cs.DC2015★ 4 cited
Developing a High Performance Software Library with MPI and CUDA for Matrix Computations
Bogdan Oancea, Tudorel Andrei
Nowadays, the paradigm of parallel computing is changing. CUDA is now a popular programming model for general purpose computations on GPUs and a great number of applications were p…