CUDA U has online courses to help you get started programming or teaching CUDA as well as links to Universities teaching CUDA.

CUDA U is organized into four sections to get you started

• Introductory CUDA Technical courses
• A full semester CUDA Class from University of Illinois you can play on your iPod
• Universities teaching CUDA where you can apply to enroll to
• CUDA Seminars from major events worldwide
• Bi-weekly CUDA and OpenCL live webinars

• Introduction to GPU Computing


• CUDA Programming Model Overview


• CUDA Programming Basics - Part I


• CUDA Programming Basics - Part II

• Volume I: Introduction to CUDA Programming


• Exercises (for Linux and Mac)


• Visual Studio Exercises (for Windows)


• Instructions for Exercises



• Volume II: CUDA Case Studies

From University of Illinois: ECE 498AL

• Introduction to GPU Computing (60.2 MB)
• CUDA Programming Model (75.3 MB)
• CUDA API (32.4 MB)
• Simple Matrix Multiplication in CUDA (46.0 MB)
• CUDA Memory Model (109 MB)
• Shared Memory Matrix Multiplication (81.4 MB)
• Additional CUDA API Features (22.4 MB)
• Useful Information on CUDA Tools (15.7 MB)
• Threading Hardware (140 MB)
• Memory Hardware (85.8 MB)
• Memory Bank Conflicts (115 MB)
• Parallel Thread Execution (32.6 MB)
• Control Flow (96.6 MB)
• Precision (137 MB)

These classes are each downloadable CUDAcasts with video pre-scaled to be compatible with major players

• SC07 Tutorial: High Performance Computing with CUDA


• NVISION 08 Tutorials


• Getting Started with CUDA (covers CUDA programming model, basics of CUDA programming, and BLAS and FFT libraries)


• Advanced CUDA Training (covers 10-series architecture and optimization techniques using particle simulation and finite difference case studies)


• ISC 2008 Case Study: Computational Fluid Dynamics (CFD)

• Acceleware Professional Services
  
  
• Stone Ridge Technology
  


• Wipro Global Consultancy Services

• CUDA, Supercomputing for the Masses: Part 1

CUDA lets you work with familiar programming concepts while developing software that can run on a GPU

• CUDA, Supercomputing for the Masses: Part 2

A first kernel

• CUDA, Supercomputing for the Masses: Part 3

Error handling and global memory performance limitations

• CUDA, Supercomputing for the Masses: Part 4

Understanding and using shared memory (1)

• CUDA, Supercomputing for the Masses: Part 5

Understanding and using shared memory (2)

• CUDA, Supercomputing for the Masses: Part 6

Global memory and the CUDA profiler

• CUDA, Supercomputing for the Masses: Part 7

Double the fun with next-generation CUDA hardware

• CUDA, Supercomputing for the Masses: Part 8

Using libraries with CUDA

• CUDA, Supercomputing for the Masses: Part 9

Extending High-level Languages with CUDA

• CUDA, Supercomputing for the Masses: Part 10

CUDPP, a powerful data-parallel CUDA library

• CUDA, Supercomputing for the Masses: Part 11

Revisiting CUDA memory spaces

• CUDA, Supercomputing for the Masses: Part 12

CUDA 2.2 changes the data movement paradigm


• CUDA, Supercomputing for the Masses: Part 13

Using texture memory in CUDA