CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

Hadoop with MapReduce combines some of the best features of both distributed computing and concurrent programming with a hefty dose of parallel programming thrown in for good measure. Chuck Lam, ...

This repository is created for my Parallel and Distributed Computing course. It contains essential materials, code examples, and concepts related to parallelism and distributed systems. The folder ...

With the increasing demand for faster and more efficient computing systems, the field of parallel and distributed computing is gaining popularity among industry professionals and students alike. If ...

With the advancement of technology and the spread of multi-core systems, the need for parallelization arises and the interest in programming models is growing. At the same time, new distributed ...

The Dryad Project is investigating programming models for writing parallel and distributed programs to scale from a small cluster to a large data-center. Overview New! Dryad and DryadLINQ are now ...

Badia’s research has significantly contributed to parallel programming models for multicore and distributed computing. Her recent work has focused on the digital continuum, proposing new programming ...