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GPU-Accelerated Data Science with GOAI
Abstract:
Modern data science workflows typically combine multiple tools, APIs, and technologies. Therefore, shared standard data structures are essential to building an efficient workflow. Without a shared data structure, workflows must copy and convert data when going from one tool to another. Data movement and conversion introduces latency and unneeded complexity.  The GPU Open Analytics Initiative (GOAI) is an effort by Continuum Analytics, H2O.ai, MapD, BlazingDB, Graphistry and the Gunrock project (UC Davis) with the aim to create open frameworks that allow developers and data scientists to build applications using standard data formats and APIs on GPUs.  This will allow data scientist to seamlessly move between tools at GPU-accelerated speeds. This talk will present the various components of the GOAI framework and walk through a typical data science task using GOAI.
 
Topics:
Developer Tools
Type:
Talk
Event:
GTC Washington D.C.
Year:
2017
Session ID:
DC7147
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