January 15, 2020

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Accelerating AI on Xeon through SW optimization

Accelerating AI on Xeon through SW optimization

Huma Abidi discusses the importance of optimization to deep learning frameworks and shares Xeon performance results and work that Intel is doing with its framework partners, such TensorFlow.
Talk Title Accelerating AI on Xeon through SW optimization
Speakers Huma Abidi (Intel)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location San Francisco, California
Date September 5-7, 2018
URL Talk Page
Slides
Video Talk Video

Huma Abidi discusses the importance of optimization to deep learning frameworks. As AI evolves, it’s essential to have a full stack solution where software optimizations take advantage of hardware innovations to accelerate AI applications. Partnering with framework developers is a critical component of Intel’s AI strategy to take ML and DL models from theory to reality. Huma shares Xeon performance results and work that Intel is doing with its framework partners, such TensorFlow.

intel framework tensorflow ml dl ai deep learning optimization performance hardware
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