The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large volumes of analogue data. The difficulty in ...

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

Neuromorphic photonics enables brain-inspired information processing with higher bandwidth and lower energy consumption than traditional electronics, addressing the growing computational demands of ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Finnish startup Flow Computing Oy today revealed seemingly outlandish plans to transform the chip industry with a new Parallel Processing Unit that it says can boost the performance of any central ...

Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...

The company claims its parallel processing ideas can double performance overnight. The company claims its parallel processing ideas can double performance overnight. is a senior editor and founding ...

A trio of researchers at Emory University has found a way to speed up parallel processing in a DNA computer. In their paper published in the journal Nature Nanotechnology, Selma Piranej, Alisina ...

Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...