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GTC ON-DEMAND

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Abstract:

The next big step in data science combines the ease of use of common Python APIs, but with the power and scalability of GPU compute. The RAPIDS project is the first step in giving data scientists the ability to use familiar APIs and abstractions for data science while taking advantage of GPU accelerated hardware commonly found in HPC centers. This session discusses RAPIDS, how to get started, and our roadmap for accelerating more of the data science ecosystem.

The next big step in data science combines the ease of use of common Python APIs, but with the power and scalability of GPU compute. The RAPIDS project is the first step in giving data scientists the ability to use familiar APIs and abstractions for data science while taking advantage of GPU accelerated hardware commonly found in HPC centers. This session discusses RAPIDS, how to get started, and our roadmap for accelerating more of the data science ecosystem.

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Topics:
Accelerated Data Science
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1824
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