Washington D.C. NOV 1-2, 2017





Call for Instructor-Led Labs Opens

Tuesday, May 30, 2017

Call for Instructor-Led Labs Closes at 11:59 PM (Pacific)

Friday, September 1, 2017

Final Notifications Sent By

Friday, September 15, 2017


If you have any questions or would like to reach the GTC Content Team, please contact us.



Join us at GTC 2018 in Silicon Valley, March 26-29, 2018.


Instructor-Led Lab Criteria

Submissions must use GPUs and must demonstrate a significant innovation or improvement in GPU computing.

Instructor-Led Lab Review Process

The GTC Content Committee will review, rate, and select submissions based on the:

Relevance and timeliness of presentation to GPU computing
Presenter credentials and expertise in the subject matter
Platform Required for Lab: 1) Amazon's AWS GPU Instances (connection options), 2) a queue submission-based cluster, 3) the Jetson TX1 DevKit
Level of lab self-containment: Instructions, code, documentation should all be available to attendees in one package

Vendor Submissions

If your submission is focused on a service, technology, or a new product your company is offering, please contact us for information on sponsored session opportunities.


You will be required to provide the following information in your submission:

Submitter's Contact Information: Email and phone number
Instructor-Led Lab Title: Maximum 12 words. Should be enticing and a concise description of what your lab is about.
Platform Required for Lab: Choice of Amazon GPU instances: cg1.4xlarge, g2.2xlarge, g2.8xlarge; GPU Cluster (access with SSH only, job submission-based); Tegra TX1 DevKit
Audience Level: Beginner; Intermediate; Advanced.
Beginner: Limited or no prior knowledge or experience is required. Session helps attendees learn the fundamentals of a subject area.
Intermediate: Some knowledge of the subject area is required. Session helps attendees enhance their knowledge of a subject area.
Advanced: Greatly developed knowledge of the subject area is required. Session helps attendees seeking to heighten their already advanced knowledge of a subject area.
Required Prerequisites: List any specific knowledge attendees must have in order to take this lab.
Topics: Select up to three topics from a dropdown list of pre-approved topic areas.
Lab Description: Maximum 800 characters (approximately 150 words) – for use on the online scheduler, mobile app and other online marketing tools. The Lab Description must explain what attendees will learn how to do and what problems they will learn to solve as a result of attending your lab. The lab must show people HOW to do things, not just provide a tour of features.
Extended Abstract & Results: Maximum 3000 characters (approximately 500 words) – provide details on what your lab is about including what attendees will learn to do from your lab to help the Content Committee better understand the technical merits of your lab. The Extended Abstract will not be published.
Instructor's Information: Email and phone number (can be different from submitter's information)
Instructor Biography: Maximum 100 words
Instructor Headshot: No less than 1800x2700px and no more than 2400x3000px. Maximum file size: 32 MB.
Permission to Webcast and/or Record: A confirmation of whether or not you agree to be recorded and/or webcast is needed.
Instructor Agreement: To be considered for a lab the Presenter Agreement must be completed
Previous Experiences Teaching Lab: List the date(s) and venue(s) this lab has been taught.
Supporting Material: provide to assist the Content Review Committee in better understanding your work. Provide supplemental information that supports your session proposal. Additional materials may include white papers, research work, videos, images, demos, proof of concept, etc.