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 ...

The product design process has undergone a significant transformation with the availability of supercomputing power at traditional workstation prices. With over 100 threads available to an application ...

The fact that ARM64 processors are low powered in terms of energy consumption means more servers can be crammed into the same volume of datacentre space than x86 hardware. If workloads can run on ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Scientists developed a new architecture and approach, which combines data storage and processing onto a single chip using "photonic" or light-based processors that deals out information much faster ...

NVIDIA's CUDA (Compute Unified Device Architecture) makes programming and using thousands of simultaneous threads straightforward. CUDA turns workstations, clusters—and even laptops—into massively ...