Development tools for parallel computer systems tend to be architecture-specific, difficult to integrate and fairly basic. Parallel application developers often find themselves juggling tools to match ...

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 ...

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 ...

MOORE’S law—first expressed by Intel cofounder Gordon Moore in 1965—predicts that computing power will increase exponentially, doubling roughly every 18 months. Moore’s law has proved remarkably ...

Modern computer systems are becoming increasingly parallel, which can make them much more challenging to use efficiently. Intel® Parallel Computing Centers (IPCCs) are being established with leading ...

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 ...