one step forward and extend them to model distributed computation. We aim to simplify and push the state-of-the-art for distributed systems programming in Swift as we did with concurrent ...

The new asynchronous programming model GPI from Fraunhofer ITWM might ... ensures that the microprocessors in the distributed systems can communicate. For some time now, however, it has been ...

“Developed by Stanford University, Legion is a data-centric programming model for writing high-performance applications for distributed heterogeneous architectures. Legion provides a common framework ...

We evolved it into a more general-purpose distributed programming model based on durable execution, virtual objects and durable promises — and put it on an event-driven foundation,” Ewen said.

However, the Microsoft team claims that Prajna is pushing the distributed functional programming model further than Spark does by "enabling multi-cluster distributed programming, running both ...

A programming model for distributed systems and parallel processing, wherein the "actor" is the primary element of computation similar to an "object" in object-oriented programming (OOP).

Its popularity stems from its efficient use of the Actor Model, which enables lightweight ... simplifying concurrent and distributed programming. It has become a popular choice for building ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

But when TensorFlow was released to the public in November, it didn’t support distributed training. And within less than 24 hours, people pointed it out as a GitHub issue. “Our current ...