No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
My Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
There aren't any available sessions at this time.
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
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.
2019 GTC San Jose
Add to My Interests
Remove from My Interests

S9788 - Building a GPU-Focused CI Solution

Session Speakers
Session Description

As the number of GPU-accelerated applications has multiplied, the need for better development tools and services have increased as well. Chief among such services is continuous integration (CI), which dramatically improves and speeds up the development lifecycle through automated builds and integration testing. CI for GPU-accelerated applications comes with its own set of challenges, but the rewards can be enormous. Join NVIDIA 's team as they walk through how they implemented CI by leaning on open source technologies such as Conda, Docker, and Jenkins, the lessons they learned in the process, and how other such systems should be built in the future.


Additional Information
Accelerated Data Science
Accelerated Data Science
Software
Intermediate technical
Talk
50 minutes
Session Schedule