AWS Cloud for Research Computing: Machine Learning, Data Analytics, and HPC

Tuesday May 30, 2017 9:30 AM
Location: Beckman Institute Auditorium

IMSS invites you to attend
AWS Cloud for Research Computing: Machine Learning, Data Analytics, and HPC

Date: May 30, 2017
Time: 9:30-11:00 AM.  We will schedule individual meetings between 11:30-4:00PM so you can discuss your workload with Dr. Padhi. Contact matsonh@amazon.com to schedule.
Location:  Beckman Institute Auditorium
Speaker: Dr. Sanjay Padhi, AWS Research and Technical Computing

Space is Limited:  Register Here  - Password "caltech"

Abstract:
This talk will provide an overview of AWS Infrastructure, advanced services such as Machine Learning, Data Analytics, and HPC for research computing. It will give a brief outline of studies using predictive analytics including detailed overview of methods such as Machine Learning and Deep Learning using AWS. Deep learning frameworks associated with image, text and natural language processing will be outlined. Amazon Artificial Intelligence (AI) framework including AI services, platform and engine will be discussed. With recent collaboration with the national funding agencies, these cloud-related services will provide researchers access to cutting-edge technology in order to accelerate science. A few examples will be drawn from the Large Hadron Collider (LHC) at CERN, AWS Open Data Program, and NASA's Desert research. The AWS Research Initiative with funding agencies such as the National Science Foundation (NSF) in the domains related to foundation and innovative track will be discussed. The National Institutes of Health (NIH) Commons program for cloud and the AWS Research Credit program will also be outlined.

Speaker Bio:
Dr. Sanjay Padhi, leads the AWS Research Initiatives including AWS's federal initiatives with the National Science Foundation. Dr. Padhi has more than 15 years of experience in large-scale distributed computing, Data Analytics and Machine Learning. He is the co-creator Workload Management System, currently used for all the data processing and simulations activities by CMS, one of the largest experiments in the world at CERN, consisting of more than 180 institutions across 40 countries. He also co-founded the ZEUS Computing Grid project at Deutsches Elektronen-Synchrotron (DESY), Germany before joining CERN. Sanjay obtained his Ph.D from McGill University in High Energy Physics and is also currently appointed by the Dean of Faculty as an Adjunct Associate Professor of Physics at Brown University.

Contact: Heather Matson matsonh@amazon.com
For more information visit: https://awscaltech.eventbrite.com/