From that article In Principles of Parallel Programming (Addison Wesley, 2008), Lawrence Snyder and Calvin Lin have created a book that is useful for students and new practitioners alike.

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Due to the current scenario in which multi-core architectures are predominant in most personal computers and servers, the knowledge of parallel programming content becomes fundamental for computer ...

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 ...

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 ...

If programmers can take the time to step back and learn these fundamentals, I think this book can be transformative to making sure your brain is your best tool for parallel programming.

Learn the best ways and resources to learn parallel programming on your own, with tips and tools for different languages and platforms.

The programmer can work around this manually, through standard parallel programming practices, but the resulting code can quickly become a tangled mess, a condition sometimes referred to as ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...

In this video, Michael Wolfe from PGI begins a series of tutorials on parallel programming. This is the first in a series of short videos to introduce you to parallel programming with OpenACC and the ...