Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Streamline Data Science Pipeline with GPU Data Frame (sponsored by NVIDIA)

Jim McHugh (NVIDIA), Todd Mostak (MapD), Srisatish Ambati (0xdata Inc), Stanley Seibert (Anaconda)
11:20am12:00pm Thursday, September 28, 2017
Sponsored
Location: 1A 03
Average rating: ***..
(3.50, 2 ratings)

What you'll learn

  • Learn how to leverage the latest GPU-accelerated analytics and deep learning techniques to solve business-critical problems

Description

In May 2017, three GPU accelerated open source companies announced the formation of GPU Open Analytics Initiative (GOAI). Link: https://devblogs.nvidia.com/parallelforall/goai-open-gpu-accelerated-data-analytics/. This is an initiative to build a GPU Data Frame, which is a common standard data format that enables intercommunication between the different data applications and speed up the entire workflow, removing latency and decreasing the complexity of data flows between core analytical applications.

This session is sponsored by NVIDIA.

Photo of Jim McHugh

Jim McHugh

NVIDIA

Jim McHugh is vice president and general manager at NVIDIA. He currently leads DGX-1, the world’s first AI supercomputer in a box. Jim focuses on building a vision of organizational success and executing strategies to deliver computing solutions that benefit from GPUs in the data center. With over 25 years of experience as a marketing and business executive with startup, mid-sized, and high-profile companies, Jim has a deep knowledge and understanding of business drivers, market/customer dynamics, technology-centered products, and accelerated solutions. Previously, Jim held leadership positions with Cisco Systems, Sun Microsystems, and Apple, among others.

Photo of Todd Mostak

Todd Mostak

MapD

Todd Mostak is the founder of MapD. He is a graduate of Harvard’s Kennedy School of Government.

Srisatish Ambati

0xdata Inc

Sri is co-founder and ceo of 0xdata (@hexadata), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before 0xdata, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale. Before that Sri was at sabbatical pursuing Theoretical Neuroscience at Berkeley. Prior to that Sri worked on nosql trie based index for semistructured data at in-memory index startup RightOrder.

Sri is known for his knack for envisioning killer apps in fast evolving spaces and assembling stellar teams towards productizing that vision. A regular speaker in the BigData, NoSQL and Java circuit, Sri leaves trail @srisatish.

Stanley Seibert

Anaconda