So what’s the difference? At a fundamental level, distributed computing and concurrent programming are simply descriptive terms that refer to ways of getting work done at runtime (as is parallel ...

He has more than fifteen years of professional and research experience developing practical solutions for large-scale enterprise applications, and creating innovative solutions for massively parallel, ...

He is associate editor of the IEEE Transactions of Parallel and Distributed Computing (TPDS) and the Parallel Computing Journal (PARCO) and a key member of the Message Passing Interface (MPI) Forum.

This trend has sparked significant interest in scaling computational capacity for AI, with teams exploring new hardware architectures and distributed ... parallel processing across numerous ...

The company also announced the general availability of its service, which allows developers to scale data and AI applications developed on a laptop to run on AWS and Google Cloud in a distributed ...

In this track, you will gain the necessary skills in all aspects of high-performance computing to meet the needs of this rising industry, including parallel programming, computer architecture, and ...

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python ... These performance improvements will be leveraged by distributed data science frameworks such as ...

Mohan’s research interests include pervasive and mobile computing and parallel and distributed computing. He has published more than 180 articles in refereed journals and conference proceedings, and ...