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 ...

With data parallelism, each thread runs the same tasks on different ... These processes tend to exhibit control-oriented behavior, such as frequent branching and unpredictable memory accesses. Thus, ...

Code in the data plane is much more amenable to parallel execution than is control code. Given the limited opportunities to improve performance in the classical CPU architecture, some suggest that a ...

Parallel programming in .NET allows us to use system resources more efficiently and with better programmatic control. This article talks about how we can work with parallelism in .NET Core ...

It is awfully easy to use. Imagine in C if you have a simply nest of For loops — For I, For J, For K — and you've got some data parallelism there, there is an opportunity to run this in ...

The goal is to give autonomy, drone and robotics companies more control over and more efficiency ... better when trained on synthetic data. While Parallel Domain isn’t using any of the OpenAI ...

In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the computations. In data-parallel programming, the ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.