Have a broad understanding of data parallel architectures and programming. Design a data parallel program for a given parallel algorithm using High Performance Fortran (HPF), measure real speedups, ...

In scatter-gather, a typical parallel-programming pattern, data is distributed for processing. Then the results are gathered together, often with additional processing, to combine the results.

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. "To maintain performance portability in the future, it is imperative to decouple architecture-specific ...

This online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics.

New system greatly speeds common parallel-computing algorithms The chips in most modern desktop computers have four "cores," or processing units, which can run different computational tasks in ...

Parallel Studio XE 2011 for Linux and Microsoft Visual Studio are priced at $2249 and $1899 respectively. The Intel C++ Studio XE 2011 alone is priced at $1499 for both platforms.

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Have a broad understanding of data parallel architectures and programming. Design a data parallel program for a given parallel algorithm using High Performance Fortran (HPF), measure real speedups, ...

In OpenMP’s master / slave approach, all code is executed sequentially on one processor by default. In data-parallel programming, all code is executed on every processor in parallel by default. The ...