With that state come several parallel programming approaches; from OpenMP, OpenACC, OpenCL, ... Major features of OpenACC, OpenMP, OpenCL and CUDA. Key difference include that OpenMP and OpenCL have ...

From the Intel Software Network, we find news that Berkeley’s ParLab has hosted a workshop focused on writing design patterns for parallel computing Ok, so…why is this interesting? Consider: the ...

Tim Mattson, a principal engineer at Intel’s Applications Research Laboratory, describes himself as an old-school parallel programmer. He’s been slinging code for impressively parallel machines since ...

This book is very focused on one thing: teaching readers how to develop parallel applications that perform well on NVIDIA’s GPUs using NVIDIA’s CUDA language. The authors do a good job explaining ...

Q&A. Asynchronous and Parallel Programming in C#. By David Ramel; 05/20/2025; As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, ...

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

We address both challenges with Plasticine, a new spatially reconfigurable architecture designed to efficiently execute applications composed of parallel patterns. Parallel patterns have emerged from ...

A team of researchers at the University of Illinois' Universal Parallel Computing Research Center (UPCRC) has developed a parallel implementation of Java.

C++ AMP technology links C++ to GPU and is expected to become part of the next Visual C++ compiler and integrated with Visual Studio ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...