Do you wish to learn the fundamentals of some of the renowned computer programming languages?
Do you want to learn Parallel programming with C, C++, GPU and CUDA programming environment?
Are you struggling to find a platform on the internet where you can learn parallel programming under qualified and experienced instructors, that too, absolutely free?

The main purpose of the creation and development of many types of parallel machines is high speed. Supercomputers and multi-processor systems can and should do everything faster. The manual sets out the training material sufficient for a successful start in the field of parallel programming.

This guide is beneficial for students – who want to excel in parallel programming and for advanced users – who want to code algorithm, image processing (Instagram and Photoshop). You should have a prior in-depth knowledge and practical experience in different languages, algorithms and data structure. This guide will help you learn:
GPU Programming Model:

Greyscale Conversion
GPU Hardware and Parallel Communication:
Learning the Smart blurring affect (a product used for removing wrinkles and pimples!)
Fundamental Parallel Algorithms (HDR Tone mapping)
Using Sort and Scan - components such as Red Eye Removal and dealing with bright red eyes)
Optimizing GPU (Graphic Processing Unit) Programs
Accelerating Histogram
Learning different avenues for parallel Computing Patterns including seamless Image Compositing
The Frontiers and Future of graphic processing unit computing

This efficient and effective guide has been designed and prepared by David Luebke (found NVIDIA Research in 2006 after eight years teaching computer science on the faculty of the University of Virginia), John Owens (associate professor of electrical and computer engineering at the University of California), Mike Roberts (computer science PhD student at Stanford University) and Chen-Han Lee (studied at the University of Texas -- Austin and University of California -- San Diego for his degrees in computer science).