Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and 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.

So while this approach is applicable to any programming language, it only addresses some parallel-programming chores. For other chores, there’s the Parallel Computing Toolbox.

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 ...

OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC ...

James Reinders, Intel's head of software development products, sets out some of the company's plans for encouraging more developers to switch to parallel programming. With many programmers barely ...

Nvidia has unveiled a new compiler source code to add new languages to its parallel programming and boost the adoption of GPUs.

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

Computer scientists simplify parallel programming Date: March 12, 2015 Source: University Saarland Summary: Modern software takes computational speed for granted. But modern microprocessors can ...