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GTC ON-DEMAND

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Abstract:
We'll discuss an approximate singular value decomposition that is much faster than state-of-the-art SVD and maintains the same accuracy if the requested singular values are away from zero. Learn how to trade off performance and accuracy during this talk.
We'll discuss an approximate singular value decomposition that is much faster than state-of-the-art SVD and maintains the same accuracy if the requested singular values are away from zero. Learn how to trade off performance and accuracy during this talk.  Back
 
Topics:
Algorithms & Numerical Techniques, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9226
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