• Subscribe

Humans Advancing Research in the Cloud announces four awards for new partners

The Pervasive Technology Institute (PTI) at Indiana University has selected proposals for the second phase of the Humans Advancing Research in the Cloud (HARC) program. PTI will invest nearly $180K in the work of Cloud Research Support Engineers (CRSEs) at four U.S. institutions: Georgia State University, University of Notre Dame, University of Pittsburgh, and Arizona State University.

The HARC project, with initial funding from the Microsoft Corporation, is an independent effort by PTI to advance the use of cloud-based cyberinfrastructure (CI) for research by emphasizing the important role that people play in supporting that use.

“We are excited to add four new partners to our efforts,” said Craig A. Stewart, PTI executive director and executive investigator on the HARC project. “These individuals, working closely with Indiana University, will also expand the resources HARC offers to support the broader community of individuals in these critical roles across the U.S. and globally.” 

The successful proposals are:

Georgia State University—Cloud computing for research on secure privacy-preserving machine learning. This project contributes to HARC’s goal of fully achieving meaningful results from use of commercial vendor cloud-based cyberinfrastructure to demonstrate the value of these environments in research.  Principal investigator: Daniel Takabi, founding director of the INSPIRE Center at GSU

University of Notre Dame—Accelerating machine learning across many research areas using a hybrid cloud approach. This project will use cloud-based computational acceleration resources to target two specific use cases: (1) providing researchers with access to a broader variety of heterogeneous accelerator architectures and (2) providing on-demand, short-term burst access for student teaching and learning objectives, such as machine learning coursework and workshops. Principal investigator: Scott Hampton, assistant director, Center for Research Computing at Notre Dame

University of Pittsburgh—Leveraging existing humanware for research in the cloud through judicious bursting. This project will demonstrate the value of cloud offerings to augment even the most substantial premise-based cyberinfrastructure resources by supporting expanded capabilities and capacity available to researchers.  Principal investigator: Kim Wong, research associate professor, Center for Research Computing, University of Pittsburgh

Arizona State University—Computational materials design in the cloud. This project will explore computationally assisted materials design with direct applications in environmental stewardship. Specifically, the proposed work aims to advance applied research in the development of plastic materials to increase their useful lifespan and simplify recycling efforts by eliminating the need to pre-sort plastics. Principal investigator: Douglas Jennewein, senior director of research technology at ASU 

The four project participants will help advance the overall goals of HARC in several ways:

About the Pervasive Technology Institute

The Pervasive Technology Institute at Indiana University is a collaborative organization designed to marshal IU's computational experts and resources quickly in response to societal, research and educational needs. In partnership with UITS, the Pervasive Technology Institute also led the original Jetstream award. The institute was established in 1999 by a generous grant from the Lilly Endowment and has continued to lead productive uses and applications of research technologies for over 20 years.

Join the conversation

Do you have story ideas or something to contribute? Let us know!

Copyright © 2020 Science Node ™  |  Privacy Notice  |  Sitemap

Disclaimer: While Science Node ™ does its best to provide complete and up-to-date information, it does not warrant that the information is error-free and disclaims all liability with respect to results from the use of the information.

Republish

We encourage you to republish this article online and in print, it’s free under our creative commons attribution license, but please follow some simple guidelines:
  1. You have to credit our authors.
  2. You have to credit ScienceNode.org — where possible include our logo with a link back to the original article.
  3. You can simply run the first few lines of the article and then add: “Read the full article on ScienceNode.org” containing a link back to the original article.
  4. The easiest way to get the article on your site is to embed the code below.