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 ...

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 ...

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 ...

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 ...