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, ...

COMP_ENG 358: Intro to Parallel Computing. This course is not currently offered. Prerequisites COMP_SCI 211 Description Introduction to parallel computing for scientists and engineers. Shared memory ...

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 ...

The origin of CUDA. In 2003, a team of researchers led by Ian Buck unveiled Brook, the first widely adopted programming model to extend C with data-parallel constructs.

Data analysis software parallelizes fairly naturally. In fact, software written in SQL has been running in parallel for more than 20 years. But with “Big Data” now becoming a reality, more programmers ...

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 ...

Adding these types of parallel computing services illustrates how programming languages are changing. Continue to page 4 In scatter-gather, a typical parallel-programming pattern, data is ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model.