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GTC ON-DEMAND

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Abstract:

We have developed a HPC ML training algorithm that can reduce training time on PBs of data from days and weeks to minutes. Using the same research, we can now conduct inferencing on completely encrypted data. We have built a distributed ML framework on commodity Azure VMs that scales to tens of terabytes and thousands of cores, while achieving better accuracy than state-of-the-art. 

We have developed a HPC ML training algorithm that can reduce training time on PBs of data from days and weeks to minutes. Using the same research, we can now conduct inferencing on completely encrypted data. We have built a distributed ML framework on commodity Azure VMs that scales to tens of terabytes and thousands of cores, while achieving better accuracy than state-of-the-art. 

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Topics:
HPC and AI
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1842
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