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 ...

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.

And here is another interesting architectural feature of the DeepSeek model: V3 uses pipeline parallelism and data parallelism, but because the memory in managed so tightly, and overlaps forward and ...

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 ...

Now that Reactor is being offered to customers through the Data Lab API, Parallel Domain’s business model will likely shift as customers prefer easy access to generative AI. The startup’s ...