15 citations · 52 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
GPGPU Computing
Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu
Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practicall…
Integrating R and Hadoop for Big Data Analysis
Bogdan Oancea, Raluca Mariana Dragoescu
Analyzing and working with big data could be very diffi cult using classical means like relational database management systems or desktop software packages for statistics and visua…