The folks at Univa have enhanced Grid Engine. The company's goal was making its parallel processing software play nice with Docker containers, along with all of the other types of physical and virtual ...

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 ...

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 ...

AMD on Thursday updated its Accelerated Parallel Processing Software Development Kit (SDK) v2.3 for its new Fusion integrated graphics processors. Formerly known as the ATI Stream SDK, the new SDK ...

As a video conferencing application grows to multiple external participants and more advanced live sharing tools, so does the requirement for more network infrastructure components such as ...

A Finnish startup called Flow Computing is making one of the wildest claims ever heard in silicon engineering: by adding its proprietary companion chip, any CPU can instantly double its performance, ...

The next strategic inflection point in computing will be the cloud expanding to the edge, involving highly parallel computer architectures connected to hundreds of billions of IoT devices. Nvidia is ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

SAN FRANCISCO — With the rise of multicore CPUs the push for parallel software has become job number 1 for Intel's microprocessor R&D labs. As part of its effort, the 250 person group is researching ...

Microsoft has shared bits and pieces of how it is adding new features to its development tools to better support parallel processing. But the next release of Windows client and server also are going ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...