This document discusses GPU computing and provides examples of its applications. It summarizes that:
1) GPUs are massively parallel processors that can provide 5-10x higher performance than CPUs for certain tasks like data-intensive computing.
2) Several success stories show speedups of 20-240x using GPUs for applications like EM field simulation, molecular dynamics, and MATLAB simulations.
3) NVIDIA's Professor Partnership program supports academic research by providing GPU equipment, discounts, grants, and research contracts to further GPU computing education and applications.