CUDA Kernel Occupancy: A Detailed Outlook

Executive Summary

While writing the CUDA kernel we think about the kernel configurations and device pointers but, seldom do we think about factors that affect the occupancy? The whitepaper discusses how kernel configurations, usage of registers, use of memory, how the concept of warp affects occupancy and in turn, how occupancy affects kernel performance.

Project Highlights

Occupancy is the ratio of the number of active warps per multiprocessor to the maximum number of possible active warps. Warp is a single execution unit, comprised of 32 threads in Nvidia Kepler architecture.
To Download This Resource
Fill in the details below

Start a conversation today

Schedule a 30-minute consultation with our Automotive Solution Experts

Start a conversation today

Schedule a 30-minute consultation with our Battery Management Solutions Expert

Start a conversation today

Schedule a 30-minute consultation with our Industrial & Energy Solutions Experts

Start a conversation today

Schedule a 30-minute consultation with our Automotive Industry Experts

Start a conversation today

Schedule a 30-minute consultation with our experts

Please Fill Below Details and Get Sample Report

Reference Designs

Our Work

Innovate

Transform.

Scale

Partnerships

Device Partnerships
Digital Partnerships
Quality Partnerships
Silicon Partnerships

Company

Products & IPs

Privacy Policy

Our website places cookies on your device to improve your experience and to improve our site. Read more about the cookies we use and how to disable them. Cookies and tracking technologies may be used for marketing purposes.

By clicking “Accept”, you are consenting to placement of cookies on your device and to our use of tracking technologies. Click “Read More” below for more information and instructions on how to disable cookies and tracking technologies. While acceptance of cookies and tracking technologies is voluntary, disabling them may result in the website not working properly, and certain advertisements may be less relevant to you.
We respect your privacy. Read our privacy policy.