In parallel processing, “different parts of a computation are executed simultaneously on separate processor hardware,” says Tao B. Schardl, a postdoctoral associate in the electrical engineering and ...

Parallel processing is an idea that will be familiar to most readers. Few of you will not be reading this on a device with only one processor core, and quite a few of you will have experimented wit… ...

Signal Processing and Machine Learning Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across ...

Manifold has shipped Radian ® Studio, a massively parallel data engineering environment for DBMS and GIS that anyone can afford. Radian automatically runs on thousands of GPU cores plus all CPU cores ...

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 ...

The master of science in computer engineering program prepares students to become leaders in university and industry settings. Our department offers students a truly interdisciplinary program with ...

Parsl Short for “Parallel Scripting Library,” Parsl lets you take computing jobs and split them across multiple systems using roughly the same syntax as Python’s existing Pool objects.

As Stephen Gossett at Built In explains: “Some of the super-complex computations asked of today’s hardware are so demanding that the compute burden must be handled through parallel processing. … ...