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, ...

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, ...

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 ...

Microsoft’s Technical Computing initiative, announced Monday, will feature investments in parallel computing, technical computing in the cloud, and development of powerful technical computing ...

And SYCL, you will remember, is the plumbing that Intel has chosen for its OneAPI cross-platform parallel computing programming effort, which was announced last year and which marries data parallel ...

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.

Components & Peripherals Nvidia Pushes Parallel Computing, Opens Up CUDA Programming Model By Kristin Bent December 13, 2011, 08:00 PM EST ...

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 ...