La tecnología NVIDIA CUDA™ se enseña en universidades de todo el mundo, lo que favorece el desarrollo de soluciones innovadoras para algunos de los problemas computacionales más vastos y complejos. Animamos a todas las universidades y centros de enseñanza a participar en nuestro programa de colaboración académica. Hacer clic aquí para obtener más información.
Universidad
Curso
Código del curso
Contacto
Caltech
GPU
CS101
Alan Bart
Clemson University
GPU/Cell Programming
Robert Geist
Embry-Riddle Aeronautical University
GPU-based Machine Vision
TAREK EL DOKOR
ETH Zurich
Simulations using Particles
CABG61
Petros Koumaoutsakos
Georgia Institute of Technology
Multicore & GPU Programming for Video Games
ECE4893A
Aaron Lanterman Hsien-Hsin "Sean" Lee David A. Bader
Software and hardware cooperative computing
CS8803SC
Hyesoon Kim
Grove City College
Operating Systems
CS340
Christiaan Gribble
IIIT
Multi-Core Architectures
PJ Narayanan
IIT Delhi
Advanced Computer Graphics
CSL859
Subodh Kumar
Inner Mongolia University
Programming Massively Parallel Processors with CUDA
HE
Information Sciences Institute
General Purpose Computing using GPUs on a Linux Cluster
Weekend Course
Various
INPG
Architecture et programmation des processeurs graphiques de derniere generation
Mel22
Didier Pellegrino
ITESM Mexico
Ambientes de Programación Avanzada
NA
Isaac Rudomin
Johns Hopkins
General Purpose Computation on the GPU
EN600.407
Matthew Bolitho
Kent State
GPU Computing
CS6/79995
Ye Zhau
McGill
CUDA Programming Environment
Abdelkader Baggag
MIT
IAP Course
6.963
Nicolas Pinto
National Taiwan University
High-performance cryptographic computing, embedded computing
Chen-Mou Cheng
Parallel Processing Architectures and Applications (English Chinese)
North Carolina State
Operating System Principles
Frank Mueller
Graduate Operating Systems
CSC501
Design Automation for VLSI
Xun Liu
Code Optimization for Scalar and Parallel Programs
Northeastern University
GPGPU Programming - CS Senior Seminar
David Kaeli
Ohio State University
Scientific Computing on Emerging Architecture
ECE694J
Umit V. Catalyurek
Oregon State
CS Skills for Simulation and Game Development
CS419G
Mike Bailey
Purdue University
Vertically Integrated Projects in ECE
David Ebert
Visualization Techniques
TU Darmstadt
Programming Massively Parallel Processors
Michael Goesele
UC Davis
Parallel Computer Architectures
EEC171
John Owens
Graphics Architecture
EEC277
UC Santa Barbara
3D User Interfaces and GPU Power
CS290I
Tobias Hollerer
UC Santa Cruz
Advanced Parallel Processing
CMPE220
Andrea Di Blas
Universidad Jaime I de Castellon
Advanced Architectures
Enrique S. Quintana-Orti
Computer Engineering and Architecture
Universität Münster
Modern Parallel Computer Architectures
Sergei Gorlatch
Universite de perpignan
GPGPU et CUDA
Defour David
University of Amsterdam
Computational Astrophysics
Portegies Zwart
University of Colorado
Programming Non-traditional Multiprocessors
Manish Vachharajani
University of Delaware
Software Support for Multicore Architectures
John Cavazos
Programming Modern Graphics Cards
Eric Kelmelis
University of Illinois
Honors Section for Software Principles and Data Strictures
Eric Shaffer
University of Illinois Urbana-Champaign
ECE498 AL1
Wen-mei Hwu
Honors Project
CS296
Eric Schaffer
University of North Carolina
GPGP: General Purpose computation Using Graphics Processors
COMP790-058
Dinesh Manocha
University of Maryland
CSMC740
Amitabh Varshney
University of Pennsylvania
GPU Programming & Architecture
CIS665
Gary Katz
University of Rochester
Introduction to Programming in CUDA
Workshop
Alice Quillen
University of Southern California
General Purpose Computing Using GPUs on a Linux Cluster
Dan Davis
University of Utah
Advanced Scientific Visualization
CS7960
Claudio Silva
University of Virginia
Kevin Skadron
University of Washington
GPU Coding for Plasma Simulations
Robert Winglee
University of Wisconsin, Madison
Introductin to Computer Architecture
Karu Sankaralingam
Advanced Computer Architecture II
Mark Hill
High-Performance Computing for Applications in Engineering
ME964
Dan Negrut
University of Texas, Austin
Principles of Computer Architecture: Parallelism and Locality
Mattan Erez
University Stuttgart / Germany
Advanced Rendering and GPU Techniques (translated)
Carsten Dachsbacher
¿Impartes clases de CUDA en la actualidad? Si estás enseñando programación CUDA, envíanos tus datos y el enlace con el contenido del curso por correo electrónico.
¿Te gustaría impartir clases de CUDA Envía desde aquí tu solicitud para participar en nuestro programa de colaboración académica.
¿Qué GPU aptas para CUDA recomendamos a los alumnos? Ver los productos aptos para CUDA aquí.