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 ...

There is always the promise of using more computing power for a single task. Your computer has multiple CPUs now, surely. Your video card has even more. Your computer is probably networked to a slew ...

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

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 ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

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 ...

The Sunway TaihuLight System was developed by the National Research Center of Parallel Computer Engineering and Technology (NRCPC), and installed at the National Supercomputing Center in Wuxi (a joint ...

Compared with mainstream enterprise applications, compute-intensive, high-performance computing (HPC) places very different demands on storage systems, so it’s not surprising a number of vendors have ...