COMPUTATIONAL RESEARCH in BOSTON and BEYOND SEMINAR:Map-D: A GPU Database for Interactive Big Data Analytics
TOM GRAHAM and TODD MOSTAK
, Co-Founders of Map-D
Date: Friday, April 04, 2014
Time: 12:00 PM to 1:00 PM Note: all times are in the Eastern Time Zone
Refreshments: 11:45 AM
Location: Building 32, Room 141 (Stata Center)
Host: Alan Edelman
Contact: Shirley Entzminger , (617) 253-4347, firstname.lastname@example.org
Relevant URL: http://math.mit.edu/crib/
Speaker URL: None
TALK: Map-D: A GPU Database for Interactive Big Data Analytics
Interactive big data analytics: Using GPUs to power the world's fastest database. As part of an emerging conversation between HPC and enterprise, this talk will focus on the future of high performance big data analytics from enterprise, government and scientific perspectives while tracking the challenges posed by data collection, hardware integration and interface design. But there is more at stake than data-drive cost savings, these perspectives are framed by the need to socialize and democratize high-power big data analytics to the advantage of all. Map-D is an ultra-fast GPU database that allows anyone to interactively analyze and visualize big data in real time. Built into GPU memory, Map-D's unique architecture runs 70-1000X faster than other in-memory databases and big data analytics platforms. We will also showcase Map-D's public demos, including TweetMap that maps over 1 billion tweets in real time and CampaignMap that unravels the influence of money on political discourse over time.
Created by Patrice Macaluso at Thursday, April 03, 2014 at 5:52 PM.