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.

There’s a new edition of a book, titled Parallel Programming for FPGAs that explores that topic in depth and it is under the Creative Commons license.

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

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

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 ...

This book introduces C-based parallel programming techniques for creating these applications, verifying them, and moving them into FPGA hardware.

A critical part of any parallel program is scalable memory allocation, which includes use of new as well as explicit calls to malloc, calloc, or realloc. Options include TBBmalloc (Intel Threading ...

In this paper we consider a class of parallel machine scheduling problems and their associated set-partitioning formulations. We show that the tightness of the linear programming relaxation of these ...

Version 6.0 of the OpenMP API is released, which opens up parallel programming to new applications, makes it easier to develop parallel programs, and gives more fine grain control to the developer.

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