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Cursos de CUDA en la universidad
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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

EPFL Introduction au calcul massivement parallèle sur carte graphique (GPU) avec NVIDIA CUDA Francis Lapique

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

Georgia Institute of Technology

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

National Taiwan University

Parallel Processing Architectures and Applications (English Chinese)

 

Chen-Mou Cheng

North Carolina State

Operating System Principles

 

Frank Mueller

North Carolina State

Graduate Operating Systems

CSC501

Frank Mueller

North Carolina State

Design Automation for VLSI

 

Xun Liu

North Carolina State

Code Optimization for Scalar and Parallel Programs

 

Frank Mueller

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

Purdue University

Visualization Techniques

 

David Ebert

TU Darmstadt

Programming Massively Parallel Processors

 

Michael Goesele

TU Dortmund Stefan Turek

UC Davis

Parallel Computer Architectures

EEC171

John Owens

UC Davis

Graphics Architecture

EEC277

John Owens

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

Universidad Jaime I de Castellon

Computer Engineering and Architecture

 

Enrique S. Quintana-Orti

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

University of Delaware

Programming Modern Graphics Cards

 

Eric Kelmelis

University of Illinois

Honors Section for Software Principles and Data Strictures

 

Eric Shaffer

University of Illinois Urbana-Champaign

Programming Massively Parallel Processors

ECE498 AL1

Wen-mei Hwu

University of Illinois Urbana-Champaign

Honors Project

CS296

Eric Schaffer

University of North Carolina

GPGP: General Purpose computation Using Graphics Processors

COMP790-058

Dinesh Manocha

University of Maryland

Advanced Computer Graphics

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

Operating Systems

 

Kevin Skadron

University of Washington

GPU Coding for Plasma Simulations

 

Robert Winglee

University of Wisconsin, Madison

Introductin to Computer Architecture

 

Karu Sankaralingam

University of Wisconsin, Madison

Advanced Computer Architecture II

 

Mark Hill

University of Wisconsin, Madison

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

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