HIVE Open House

HIVE Open House Menu

HIVE Open House

Thursday, February 16, 2017
Drop by anytime between 1:00- 4:00pm
Huang Engineering Center, room 050 (basement level)

The HIVE features a 10-foot-tall by 24-feet-wide display with 13440x5400 resolution and 72 million total active pixels.  Come see various researchers use the HIVE to visualize data analysis and simulation.

Open House Presentations

1:00pm: Simon (Vsevolod) Ilyushchenko, Google.  Google Earth Engine is a cloud platform for petapixel-scale analysis of geospatial data. We will show existing uses of GEE, describe its architecture and walk through some programming examples.

1:30pm: David Medeiros, Stanford Geospatial Center, Stanford University. David will demo various online map visualizations and interactive mapping.

2:00pm: G. Salim Mohammed, David Rumsey Map Center, Stanford University.  Using High Resolutions Screens to View Cartographic Information: Tools at the David Rumsey Map Center.

3:00pm: Justin Lehrer, Director of Product Management for Geographic Research, SimplyMap.  Join Justin for a live demo of SimplyMap, a powerful demographics, business analytics and data visualization tool for non-technical users. This session will show you how to create custom maps, rankings, reports, and business lists and provide tips to help you find, map and analyze data.

About the HIVE

The HANA Immersive Visualization Environment (HIVE), was built in partnership between the Institute for Computational and Mathematical Engineering (ICME), the Army High Performance Computing Research Center (AHPCRC), and with the generous support of SAP.  Located in Huang 050, the HIVE may be reserved by Stanford faculty, students, and staff, free of charge, for research visualization projects and courses.

The HIVE features a 10-foot-tall by 24-feet-wide display with 13440x5400 resolution and 72 million total active pixels.  Researchers may use multiple displays simultaneously to investigate various aspects of data collection, simulation, and visualization and to zoom in to see detail at previously unheard-of-levels.

Learn more:  hive.stanford.edu

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