E-CAS Online

Exploring Clouds for Acceleration of Science, or E-CAS, is a project funded by the National Science Foundation that is being administered and coordinated by Internet2 in collaboration with commercial cloud service providers.

The project, which launched in December 2018, intends to accelerate scientific discoveries by leveraging advancements and novel technologies in commercial cloud platforms. These apply to a range of applications critical to the academic and research computing and computational science communities.

Please join us online on Wednesday, April 1 and Thursday, April 2, to hear the latest updates on six sub-projects chosen for the first phase of the E-CAS. These projects were chosen based on their need for on-demand, scalable infrastructure and their innovative use of newer technologies.

The projects feature a range of technologies, including:

• Data-intensive computation of output from the Large Hadron Collider and the IceCube Neutrino Observatory.
• Large-scale simulation of the brain’s motor cortex circuits or urban canopy weather modeling.
• Bursting to the cloud from NSF facilities or local hardware to overcome resource limitations analyzing big data in biology and reproducibility of biotechnology experiments.

Online meeting details:

•    Date and times: April 1 and April 2 at 11 a.m., 1 p.m., and 3 p.m. Eastern Time each day.

•    The presentations will all use the same ZOOM room number = 3126477367

•    To connect via PC: https://internet2.zoom.us/j/3126477367

•    These sessions will be recorded and made available soon after via the Internet2 Online website

Here is the schedule for the online meeting: 

Wednesday, April 1

11 a.m. ET: GWU George Washington University – Development of BioCompute Objects for Integration into Galaxy in a Cloud Computing Environment, Raja Mazumder, Jonathon Keeney, Charles Hadley King, Janisha Patel

1 p.m. ET: San Diego Supercomputer Centre – Accelerating Science by Integrating Commercial Cloud Resources in the CIPRES Science Gateway, Mark Miller, Wayne Pfeiffer, Trevor Cooper, Mark Zhuang

3 p.m. ET: MIT Massachusetts Institute of Technology – Investigating Heterogeneous Computing at the Large Hadron Collider, Philip Harris

Thursday, April 2

11 a.m. ET: Purdue University – Building Clouds: Worldwide Building Typology Modelling from Images, Daniel Aliaga, Dev Niyogi

1 p.m. ET:  SUNY Downstate Medical Center – Deciphering the Brain’s Neural Code Through Large-Scale Detailed Simulation of Motor Cortex Circuits, William Lytton, Salvador Dura Bernal

3 p.m. ET: UW Madison – Ice Cube Computing in the Cloud, Benedikt Riedel, David Schultz

More detailed descriptions of each project are available at https://internet2.edu/ecas.