In scatter-gather, a typical parallel-programming pattern, data is distributed for processing. Then the results are gathered together, often with additional processing, to combine the results.

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

In this video from the Intel HPC Developer Conference at SC15, Prof. Matthew Dixon from the Illinois Institute of Technology presents: Designing Parallel Financial Analytics Libraries Using a Pattern ...

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 ...

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

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, ...

Given the volatility of current processor designs, it is also worthwhile to consider the importance of portable, high-level parallel programming models for future-proofing software development.

One of the best features of using FPGAs for a design is the inherent parallelism. Sure, you can write software to take advantage of multiple CPUs. But with an FPGA you can enjoy massive parallelism… ...

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, ...