Exploring Clouds for Acceleration of Science (E-CAS) is a project funded by the National Science Foundation (NSF Award #1904444) that is being administered and coordinated by Internet2 in collaboration with commercial cloud service providers. This TechEXtra21 workshop, held Sept. 22, 2021, highlighted the achievements of the projects undertaken by the sub-awardees and discussed some of the benefits and challenges of using cloud platforms to support research.

Watch Recordings from the Sept. 22nd Event

• Part 1: Exploring Clouds: Accelerated Machine Learning Through High Energy Physics
• Part 2: Deciphering the Brain’s Neural Code Through Large Scale Detailed Simulation of Cortical Circuits
• Part 3: Exploring Clouds: Lessons Learned Through This Project

Download Presentations

• Introduction: Exploring Clouds for Acceleration of Science: NSF Award #190444: Jamie Sunderland, former Internet2 Executive Director, Service Development
• Investigating Heterogeneous Computing at the Large Hadron Collider and Beyond (PDF): Philip Harris
• Services for Optimized Network Inference on Coprocessors (PDF): Kevin Pedro
• LCH Computing (PDF): Patrick McCormack of MIT
• GPU-Accelerated Machine Learning Inference for Offline Reconstruction and Analysis Workflows in Neutrino Experiments (PDF): Tingjun Yang, Maria Acosta, Tejin Cai, Phil Harris, Ben Hawks, Ken Herner, Burt Holzman, Jeff Krupa, Kevin Pedro, Elisabeth Petit-Bois, Nhan Tran, Mike Wang
• Deciphering the Brain’s Neural Code Through Large Scale Detailed Simulation of Cortical Circuits (PDF): Salvador Dura-Bernal and William Lytton of State University of New York Downstate Health Sciences University