https://www.udacity.com/course/cs344You'll master the fundamentals of massively parallel computing by using
CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.
Lesson 1: GPU Programming Model
Project 1: Greyscale Conversion (for that classy touch!)
Lesson 2 - GPU Hardware and Parallel Communication
Project 2: Smart Blurring (miracle product for removing wrinkles!)
Lesson 3 - Fundamental Parallel Algorithms
Project 3: HDR Tonemapping (when 1000:1 contrast is not enough!)
Lesson 4 - Using Sort and Scan
Project 4: Red Eye Removal (soothing relief for bright red eyes)
Lesson 5 - Optimizing GPU Programs
Project 5: Accelerating Histograms (when fast isn't fast enough)
Lesson 6 - Parallel Computing Patterns
Project 6: Seamless Image Compositing (polar bear in the swimming pool)
Lesson 7 - The Frontiers and Future of GPU Computing