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Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach


Date:  Friday, May 28

Start Time: 12:30 pm

End Time: 1:00 pm

Qualcomm has invested extensively in its state-of-the-art Qualcomm Neural Network and software stack, including the Qualcomm Neural Processing SDK and the AI Model Efficiency Toolkit. These toolkits have helped many developers take their applications to the next level with extreme efficiency and performance. In this talk, we will explain some of the most common misconceptions related to AI software stacks and frameworks, and how key attributes of these tools, directly and indirectly, impact application performance, the ability of developers with diverse skill levels to use the tools, and the ability to scale applications across processor performance tiers. If you are interested in improving your application performance or incorporating machine learning into your performance-sensitive application, this talk is for you.

Track

Session Speakers

  • Felix Baum is Director of Product Management at Qualcomm Technologies Inc (QTI), where he is responsible for AI software Products at QTI. Felix has spent 20+ years in the embedded industry, both as a developer and as a product manager. He previously led QTI product management for Hexagon Software supporting DSPs with scalar, vector and tensor accelerators for the camera, video, machine learning and audio verticals. Prior to that, he led marketing and product management efforts for various real-time operating system technologies. His career began at NASA’s Jet Propulsion Laboratory at the California Institute of Technology, designing flight software for various spacecraft and managing integration for a launch campaign of the GRACE mission. Felix holds a master’s degree in computer science from the California State University at Northridge and a Master of Business Administration from the University of California at Los Angeles.


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Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach