CUDA U contiene cursos online que ofrecen todo lo necesario para empezar a programar en CUDA o impartir conocimientos sobre este entorno de programación. También contiene enlaces con universidades que incluyen CUDA en sus planes de estudios.

La página de CUDA U está organizada en cuatro secciones:

• Cursos técnicos de introducción a CUDA
• Un semestre entero de clases de CUDA impartidas en la Universidad de Illinois (pueden reproducirse en iPod)
• Universidades donde se imparten clases de CUDA
• Seminarios de CUDA celebrados en diferentes eventos

• 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 (Linux & Mac)


• Visual Studio Exercises (Windows)


• Instructions for Exercises



• Volume II: CUDA Case Studies

De la Universidad de 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)

Todas estas clases pueden descargarse en forma de “CUDAcasts” con un formato de vídeo preparado para los principales reproductores del mercado.

• 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)

• 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