The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms. The proposed parallel fully ...

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant computational resources. Now, researchers have developed a new parallel computing ...

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

A team from the Chinese Academy of Sciences developed a parallel optical computing architecture with 100 wavelengths, pushing the boundary of computility.

With support and funding from Intel, research at the new center will use high performance parallel computing to solve problems in finance. Researchers will develop computational algorithms and ...

Long the province of academic computer scientists and scientific researchers, parallel computing is moving into the mainstream as multicore microchips become standard. Intel and Microsoft have ...

Gazing into the future, Explorys is working on “a very secure user interface,” calculation engines, parallel computing and storage capabilities, extending its cloud-based service, patient matching ...