No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Schedule TBD
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
Please enter a maximum of {0} words.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2017 GTC San Jose

S7329 - Open-Source Tools for GPU Programming Assignments in Large Classroom Settings

Session Speakers
Session Description

Teaching using GPUs is a challenge because of the need for special hardware and software resources. This is exacerbated when class enrollment is in the thousands. This talk showcases open source tools developed at University of Illinois - Urbana Champaign, and divulges some insights gathered while teaching to thousands of students from over 130 countries. Two tools will be presented: 1) WebGPU -- an online portal for GPU programming where students are presented with labs that test NVIDIA?CUDA?concepts. The students develop their code within the browser. The system then autogrades the submission. 2) RAI is an interactive command line tool used for project submissions. Students specify steps to run their project, which is deployed to a worker node and run within a container. Both systems are designed for fault tolerance, scalability to thousands of concurrent submissions, resilience to buffer overflows, and expansion using on premise or cloud compute resources.


Additional Session Information
Beginner
Talk
Data Center and Cloud Computing Programming Languages Tools and Libraries
25 minutes
Session Schedule