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ECAS - Exploring Clouds for Acceleration of Science.

This is a project funded by NSF Award #1904444 under a Cooperative Agreement with Internet2 to manage a series of sub-awards to enable a selection of science projects to explore the use of commercial Cloud Services to advance their computational science needs.


The first phase of the project is now complete. From the 6 projects that participated in the first phase (project development), 2 projects were selected to be funded up to $880,000 each for the second phase of the project (accelerating science at scale).  Those 2 project are: Deciphering the Brain's Neural Code, (Bill Lytton and Salvador Dura-Bernal, SUNY Downstate Medical Center); and Heterogeneous Computing for the LHC, (Philip Harris, MIT).

See the Phase 1 project presentations. (Via YouTube)

See also the Phase 1 final reports and presentation slides (Via Google Drive) 

Connect with the project:

Slack channel: Contact Jamie Sunderland (jsunderland <at> to request an invite

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  • About ECAS
  • The six project teams in Phase 1:
    • San Diego Supercomputing Center (SDSC) - Accelerating Science by Integrating Commercial Cloud Resources in the CIPRES Science Gateway
    • GWU George Washington University (GWU) - Development of BioCompute Objects for Integration into Galaxy in a Cloud Computing Environment
    • Massachusetts Institute of Technology (MIT) - Investigating Heterogeneous Computing at the Large Hadron Collider
    • Purdue University - Building Clouds: Worldwide building typology modelling from images
    • SUNY Downstate Medical Center - Deciphering the Brain's Neural Code Through Large-Scale Detailed Simulation of Motor Cortex Circuits
    • University of Wisconsin Madison - Ice Cube computing in the cloud
  • Project Schedule: Phase 1 = April 2019 to April 2020. Phase 2 = September 2020 to September 2021
  • Project Reports: Project Reports on Google Drive
  • Summary of Lessons learned (Coming Soon)

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