Learn how to use tools and techniques such as OpenMP, Pthreads, Cilk Plus, and CUDA to implement shared memory parallel programming and improve your application performance.

Parallel programming techniques have been prominently explored in various engineering applications as it provides a time efficient solution to the complex problems without affecting the accuracy.

Learn about the common parallel programming models and their pros and cons for different applications. Find out how to choose the best model for your problem, hardware, and goals.

Beaverton, Oregon — The OpenMP Architecture Review Board (ARB) today announced that Samsung has joined the board. The OpenMP ARB is a group of hardware and software vendors and research organizations ...

Parallel Programming: The practice of developing software that concurrently executes multiple computations to leverage the capabilities of multicore architectures.

A technical paper titled “Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster” was published by researchers at ETH Zürich and Università di Bologna. “Synchronization ...