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 ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...

Successful parallel programming Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...

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 ...

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 ...

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

I just finished reading the new book by David Kirk and Wen-mei Hwu called Programming Massively Parallel Processors. The generic title notwithstanding, readers should not come to this book expecting ...