HEAVY.AI

HEAVY.AI is a GPU-accelerated database offering rapid analytics and visualization on billions of records, including geospatial and time series data. It is ideal for tasks requiring real-time analysis of GIS big data using GPU databases. 

(Fun fact: HEAVY.AI started at CGA when then graduate student Todd Mostak and Ben Lewis built the first version of the GPU database, then called GEOPS and later called MapD, in 2012 while starting the Geotweet Archive.)

Using Heavy on NERC: Heavy.ai can be launched easily and effectively on NERC using our server snapshot.

Use-Cases/ Publications:

• Jain D., Billion Object Platform, Massachusetts Green  High Performance Computing Center (MGHPCC), SC '22.
• Jain, D., Blossom, J., Wang, H. Digitalizing Journalist Paul Salopek’s decade-long walk of 24,000-mile odyssey. National Geographic Case Study, 2024.
• Kakkar, D., Lewis, B., Smiley, D., & Nunez, A. (2017). The Billion Object Platform (BOP): A system to lower barriers to support big, streaming, spatio-temporal data sources. OSGeo Journal, 17(1), 113–122.