In the podcast, Mike Bernhardt from ECP catches up with Sameer Shende to learn how the Performance Research Lab at the University of Oregon is helping to pave the way to Exascale. Developers of ...

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 ...

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 ...

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 end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microprocessor in computing. The era of sequential computing must give way to a new ...