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

 



 Funded by [OmniSci Technologies](https://www.omnisci.com/), 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](https://www.prnewswire.com/news-releases/mapd-to-collaborate-with-the-center-for-geographic-analysis-at-harvard-university-to-accelerate-research-with-gpus-300505042.html?tc=eml_cleartime).

 See [background on OmniSci incubation at CGA](https://www.omnisci.com/blog/rejoining-forces-a-new-old-partnership-with-the-harvard-center-for-geographic-analysis).

 The scripts can be found on our Github [here](https://github.com/cga-harvard/HPC_on_MOC).

   ![Map D sample](/sites/g/files/omnuum9996/files/styles/hwp_1_1__360x360_scale/public/mapd_sample.jpg?itok=4ePLyRfT) 

 



 



 

 See also:- [ Projects ](/research/project)
- [ grants ](/tags/grants)
- [ collaborations ](/tags/collaborations)
- [ Extermal ](/school/extermal)