MapReduce, developed by Google, is the most widely used programming model for distributed computing that runs on clusters and across the cloud. The name comes from its two basic operations.

In this video from the 2017 Argonne Training Program on Extreme-Scale Computing, Galen Shipman from LANL presents: The Legion Programming Model. “Developed by Stanford University, Legion is a ...

This hierarchical computing will be distributed locally and run serial up and down the line, so it is not, in the strict way that we are talking about it, distributed computing across the whole. But ...

As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent ...

Programming serves two complementary purposes: one is to specify the computation and the other is to manage computer resources. Most scientists are familiar with the former, whereas the latter is ...

Gurdip Singh, Divisional Dean, School of Computing, received funding from the National Science Foundation for the project: "EAGER: Distributed Computing Models and Algorithms for Pervasive Systems ...

David Anderson is a computer scientist at the University of California, Berkeley, former director of the SETI@home project, and current director of the BOINC distributed computing project.

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

Dedicated hardware, like GPUs (graphics processing units) and TPUs (tensor processing units), has become essential for training AI models. Meanwhile, distributed computing infrastructures are ...