April 02 to 04 2018, Santa Clara, USA.

Speaker "Joshua Patterson" Details

Name :
joshua patterson
Company :
Title :
Topic :

Enabling GPU Data Science with GoAI

Abstract :

GPUs have revolutionized deep learning, and their parallel processing power is ideal for general data science as well. That said, in the past there were challenges to adopting GPU. The GPU Open Analytics Initiative, GOAI, is an open source project that is solving those challenges, and making it easier for data scientist to adopt and use GPU. This talk will first show will provide a deep dive into the GOAI ecosystem, discussing everything from SQL to ETL to machine learning as well as graph analytics and visualization. First this talk will discuss the individual components, and their benchmarks against their CPU counterparts. Then this talk will discuss pain points in the past, and how open standards like the GPU Data Frame, based off apache arrow, are solving integration and other challenges. Finally we will discuss various end to end data flows, and how GOAI is interoperable with leading big data solutions through apache arrow and parquet. Finally, we will close with future plans, how to join the GPU data science movement, and tips on how to get started.

Profile :
Joshua Patterson is the Director of Applied Solutions Engineering at NVIDIA and a former White House Presidential Innovation Fellow. Prior to NVIDIA, Josh worked with leading experts across public sector, private sector, and academia to build a next generation cyber defense platform. His current passions are graph analytics, machine learning, and GPU accelerated data science. Josh also loves storytelling with data, and creating interactive data visualizations. Josh holds a B.A. in economics from the University of North Carolina at Chapel Hill and an M.A. in economics from the University of South Carolina Moore School of Business.

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