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 ...

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 ...

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 ...

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 ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...