Exploring Clouds for Acceleration of Science

E-CAS Project Updates

December 2020: Phase Two Progress

We are now in phase two of the Exploring Clouds for Acceleration of Science (E-CAS) project, where the two selected teams that best-demonstrated innovation and the acceleration of science received sub-awards. These awards total around $880,000 each, including up to $500,000 to spend on cloud resources.

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Phase 2 Projects

Two projects out of the six have selected for the program’s second phase, which runs from September 2020 to September 2021. These projects are currently developing and repeatedly running the science workloads at scale. The two selected projects are:

  1. Deciphering the Brain’s Neural Code,” William Lytton and Salvador Dura-Burnal, SUNY Downstate Medical Centre

    This project aims to help decipher the brain’s neural coding mechanisms with far-reaching applications, including developing treatments for brain disorders, advancing brain-machine interfaces for people with paralysis, and developing novel artificial intelligence algorithms. Using a software tool for brain modeling, researchers will run thousands of parallelized simulations exploring different conditions and inputs to the simulation of brain cortical circuits. 

  2. Heterogeneous computing for the Large Hadron Collider,” Philip Harris, MIT

    Only a small fraction of the 40 million collisions per second at the Large Hadron Collider (LHC) are stored and analyzed due to the huge volumes of data and the compute power required to process it. This project proposes a redesign of the algorithms using modern machine learning techniques that can be incorporated into heterogeneous computing systems, allowing more data to be processed and thus larger physics output and potentially foundational discoveries in the field.

Project Progress

Summary of Phase One Projects and Achievements

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