GTC Webinars
Explore What's New in GPUs

Access to Incredible Content from GTC

GTC Webinars is a year-round extension of the great content available at GTC. Each month, top developers, scientists, researchers, and industry practitioners present innovative and thought-provoking webinars focused on the GPU-enabled work they're doing and sharing how GPUs are transforming their fields.

Upcoming Webinars

 

July

29

WEDNESDAY
9:00am PDT /
12:00pm EDT

DEEP LEARNING COURSE OFFICE HOURS: Introduction to Deep Learning

Presenter: Jon Barker
Applied Engineer, NVIDIA

Ask your questions of NVIDIA deep learning experts during this session dedicated to only answering your questions.


Register Today
 
 
 

August

11

TUESDAY
9:00am PDT /
12:00pm EDT

Getting Started with the PGI OpenACC Compiler

Presenter: Michael Wolfe
Compiler Engineer, NVIDIA

Join Michael and learn how to accelerate your Fortran, C and C++ applications with minimal programming effort using OpenACC.


Register Today
 
 
 

August

18

TUESDAY
10:00am PDT /
1:00pm EDT

Applications of Deep Learning to GEOINT Missions

Presenter: Jon Barker
Applied Engineer, NVIDIA

In this webinar we will give a brief introduction to deep learning and take a tour of the current and potential applications of deep learning to a variety of GEOINT tasks.

3 key takeaways:

Deep learning is applicable to a broad range of challenging perceptual GEOINT tasks

Deep learning is accessible today through open-source software frameworks accelerated by GPU technology

Deep learning is massively scalable to thrive on web-scale datasets and rapidly generalize to new problem sets


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October

8

THURSDAY
9:00am PDT /
12:00pm EDT

Torch7: Applied Deep Learning for Vision and Natural Language

Presenter: Nicholas Léonard
Element Inc., Research Engineer

This webinar is targeted at machine learning enthusiasts and researchers and covers applying deep learning techniques on classifying images and building language models, including convolutional and recurrent neural networks. The session is driven in Torch: a scientific computing platform that has great toolboxes for deep learning and optimization among others, and fast CUDA backends with multi-GPU support.


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Previous Webinars

 
Everything You Need to Know About CUDA 7.5

Presenter: Ujval Kapasi
CUDA Product Manager, NVIDIA

Please join us for an overview of the key features in the new CUDA 7.5 release. Ujval Kapasi, director of product management, and members of the CUDA engineering team will share how you can store up to 2x larger datasets in GPU memory and reduce memory bandwidth requirements significantly using the new 16-bit floating point (FP16) data format.


July 23, 2015 | 60 Minutes
 
 
 
Introducing Digits 2

Presenter: Allison Gray
Solution Architect, NVIDIA

Join us for a live walk-through of the new features in the second release of NVIDIA's Deep Learning GPU Training System (DIGITS).


July 21, 2015 | 60 Minutes
 
 
 
Accelerate .NET Applications with Alea GPU

Presenter: Daniel Egloff
QuantAlea, Managing Director

Alea GPU closes this gap by bringing GPU computing directly into the .NET ecosystem. In this hands-on webinar we show how you can write cross platform GPU accelerated .NET applications in any .NET language much easier than ever before.


July 8, 2015 | 60 Minutes
 
 
 
Introduction to Accelerated Computing with OpenACC

Presenter: Jeff Larkin
NVIDIA, Developer Technologies

This webinar will serve as an introductory tutorial for anyone interested in accelerated computing using compiler directives. Participants will learn about OpenACC and a proven process for accelerating applications using compiler directives.


May 9, 2015 | 60 Minutes
 
 
 
GPU-Accelerated Deep Learning for cuDNN v2

Presenter: Larry Brown
NVIDIA, Solutions Architect

The new cuDNN v2 drop-in library accelerates deep learning applications using Caffe, Theano or Torch. Join NVIDIA's Larry Brown for an update and learn how you can accelerate your deep neural net training.


March 31, 2015 | 60 Minutes