But that raises a new problem: how to put those tiny side-by-side computer engines to good use. The operating systems aren't set up for it. Neither are the programming languages and development tools.

Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing ... of electrical and computer engineering ...

In fact, a quick scan of the TOP500 project's list of the world's fastest supercomputers shows just how far-reaching the concept of computer clusters has ... we saw above how parallel processing can ...

Figure 1 shows several streams of data and compute operators in parallel. Figure 1. Stream Processing Diagram Stream processing has been used successfully for general programming ... can fall back to ...

WEST LAFAYETTE, Ind. -- The technology that makes the fastest computers so fast -- parallel processing -- is starting to wend its way from the research community into personal computers, and a Purdue ...

The reason, they say, is because managing parallel execution requires a lot of extra code and that existing compilers add this code before optimisation. However, the team from MIT’s Computer Science .

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 ...