Intel director James Reinders explains the difference between task and data parallelism, and how there is a way around the limits imposed by Amdahl's Law... I'm James Reinders, and I'm going to cover ...

Task parallelism is perhaps the most general approach to parallel processing. In task parallel programs, different operations (i.e., tasks) are performed simultaneously; sometimes the tasks operate on ...

Microsoft has provided support for parallel programming in .Net Framework to leverage the benefits of multi core systems. In this post, I will present a discussion on the support for Parallel ...

Operating parallel project tasks allows a project team to complete multiple steps at once and deliver a completed assignment within a short time frame. This strategy carries several disadvantages for ...

Take advantage of lock-free, thread-safe implementations in C# to maximize the throughput of your .NET or .NET Core applications. Parallelism is the ability to have parallel execution of tasks on ...

I’m James Reinders. A common question I get asked is “If I’m going to add parallelism to my program, how should I do it? What should I look for?” A seemingly simple question so let’s see if we can ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Huge volumes of data need near-supercomputer power to process and analyze it all. You can get there with the .NET Task Parallel Library. As Web and mobile applications face the challenge of quickly ...