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2019 GTC San Jose
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S9176 - Tensor Core Performance and Precision

Session Speakers
Session Description

Learn about using Tensor Cores to perform very fast matrix multiply-accumulate steps like those required in AI training. The key to Tensor Core performance is the use of 16-bit floating point arithmetic, but that causes significant rounding errors. Although algorithms like binomial correction or Karatsuba can reduce rounding errors considerably, they require additional calculations. We'll detail performance of these algorithms based on the Warp Matrix Multiply Accumulate API.


Additional Information
Algorithms/Numerical Techniques
Algorithms/Numerical Techniques, HPC and AI
Higher Education / Research
Advanced technical
Talk.1
50 minutes
Session Schedule