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 looks into the algorithms that form the heart of threading building blocks - a C++ template library for parallel programming.

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

Parallel programming is a more specific form of asynchronous programming -- running the same operation multiple times (i.e., in parallel). This can be running the same calculation across multiple CPU ...

Ditto for CUDA, the parallel programming environment that Nvidia created for its Tesla GPU accelerators, which is often used in conjunction with or side-by-side on machines that support OpenMP or ...

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 ...

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

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more - Read more from Inside HPC & AI News.

What Is Parallel Programming? Before talking about parallel programming, let me explain two concepts closely related to it: synchronous and asynchronous execution modes. These modes are important ...