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.

I highly recommend reading the document “Patterns of Parallel Programming” by Stephen Toub. It provides an in-depth discussion on the parallel programming patterns in .Net.

Using parallel programming patterns such as pipelining (shown here), task parallelism and data parallelism can help optimize dataflow applications for execution on multicore CPUs.Click on image to ...

Fortunately the patterns and applications that Programming… relies upon to teach its lessons are fairly common, and as readers explore other material they will find ample opportunity to learn even ...

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 ...

COMP_SCI 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Completed CS 213 or CS/CE Graduate standing or Consent of Instructor Description ...

"How can quants or financial engineers write financial analytics libraries that can be systematically efficiently deployed on an Intel Xeon Phi co-processor or an Intel Xeon multi-core processor ...

Both fine-grain and coarse-grain architectures (e.g. CGRAs) traditionally require low level programming and suffer from long compilation times. We address both challenges with Plasticine, a new ...

In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm.