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 ...

Hadoop with MapReduce combines some of the best features of both distributed computing and concurrent programming with a hefty dose of parallel programming thrown in for good measure. Chuck Lam, ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

Badia’s research has significantly contributed to parallel programming models for multicore and distributed computing. Her recent work has focused on the digital continuum, proposing new programming ...

ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists in academia, industry, and government to present their latest research findings in all aspects ...

CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures (shared memory, distributed memory, CPU vs. GPU, multicore vs. multiprocessor), ...

Cloud computing, such as OCI, is removing a big development constraint. “Artificial general intelligence is limited by computing power, and it’s limited by training the systems,” says ...