Programming these platforms can be a challenge. High-end server platforms like Intel’s six-core Xeon 7460 use lots of transistors for very large, complex architectures.

Such advancements, which streamline parallel operations and reduce synchronisation overhead, exemplify the practical implications of optimised parallel algorithms on multicore platforms [3].

Having a GPU market share of 70.5% as of 2016, Nvidia recognized the need for a programmable architecture very early since programming parallel processing is recognized as notoriously difficult.

There are several good options for parallel code (including Parallel.ForEachAsync and Channels). In this seminar, we'll look at what each is best at, and where we may need to do additional programming ...