Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Joshua Patterson

Joshua Patterson
Director, AI Infrastructure, NVIDIA

@datametrician

Joshua Patterson is a director of AI infrastructure at NVIDIA leading engineering for RAPIDS.AI. Previously, Josh was a White House Presidential Innovation Fellow and worked with leading experts across public sector, private sector, and academia to build a next-generation cyberdefense platform. His current passions are graph analytics, machine learning, and large-scale system design. Josh loves storytelling with data and creating interactive data visualizations. He holds a BA in economics from the University of North Carolina at Chapel Hill and an MA in economics from the University of South Carolina Moore School of Business.

Sessions

5:25pm–6:05pm Wednesday, 09/12/2018
Accelerating financial data science workflows with GPUs
Location: 1A 15/16 Level: Intermediate
Secondary topics:  Financial Services
Joshua Patterson (NVIDIA), Onur Yilmaz (NVIDIA)
GPUs have allowed financial firms to accelerate their computationally demanding workloads. Today, the bottleneck has moved completely to ETL. The GPU Open Analytics Initiative (GoAi) is helping accelerate ETL while keeping the entire workflow on GPUs. Joshua Patterson and Onur Yilmaz discuss several GPU-accelerated data science tools and libraries. Read more.