OmniSci (formerly MapD) - explore the power of GPUs in spatiotemporal analytics

Funded by OmniSci Technologies, LLC. as a member of the I/UCRC Spatiotemporal Innovation Center
Can be hosted on Harvard Cannon Cluster, Amazon AWS, Mass Open Cloud, MapD Cloud.

Use cases:

  • Improving access to hydrological models used in water management and public safety
  • Analyzing how political partisanship affects the geographic sorting of voters

See collaboration announcement.

See background on OmniSci incubation at CGA.

The scripts can be found on our Github here.

Map D sample
See also: