One of the things to avoid when it comes to parallelism is working with raw threads. Abstraction offers a way around the issue, by avoiding the need to deal with low-level details of parallel ...

They’re very simple concepts. Let’s go over them. The first one I’ll go over today is task and data parallelism. What are they and what do they mean and then I’ll finish with talking a bit ...

The architecture eliminates the need to decompose large models for distributed computing to train: Push-button AI? The hottest trend in AI is the emergence of massive models such as Open AI’s GPT-3.

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 ...

In 2003, a team of researchers led by Ian Buck unveiled Brook, the first widely adopted programming model to extend C with data-parallel constructs. Buck later joined NVIDIA and led the launch of ...