Learn about common parallel algorithms and patterns in CUDA, such as data parallelism, task parallelism, map, scan, stencil, and reduce. Discover CUDA libraries and best practices.

Working in tandem, a quantum computer and a supercomputer modelled the behaviour of several molecules, paving the way for ...

A parallel numerical algorithm by combining MPI and OpenMP programming models with applications in gravity field ... J. M., Roese-Koerner, L., and Schuh, W.-D. (2014a). A concept for the estimation of ...

Summary form only given. We study two parallel computing models - the bulk synchronous parallel (BSP) and the queued shared memory (QSM) - as alternatives to the PRAM model to provide more accurate ...

In this paper, we share our experience in teaching parallel algorithms with the binary-forking model. With hardware advances, multicore computers are now ubiquitous. This has created a substantial ...

The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation. Each model is illustrated by providing an adequate number of ...

Fork-join parallelism, a fundamental model in parallel computing, dates back to 1963 and has since been widely used in parallel computing. In fork join parallelism, computations create opportunities ...

Parallel computing can even be made available to students in high school and college, small software houses, and small-business start-ups. Many challenges must still be addressed (such as practical ...

Parallel lets you run Stata faster, sometimes faster than MP itself.By organizing your job in several Stata instances, parallel allows you to work with out-of-the-box parallel computing. Using the the ...