RT Impact: The world
Taking big university resources to smaller institutions
DATA-DRIVEN ORGANIZATIONS ARE GROWING ORGANIZATIONS
Program evaluation—backed by data—has become the norm for grand-scale National Science Foundation projects. Within the Pervasive Technology Institute at IU, Cyberinfrastructure Assessment and Evaluation (CAE) designs studies scaling large and small; conducts interviews, focus groups, and point-of-service surveys; and administers multi-year longitudinal studies. CAE provides analysis of the data and offers recommendations based on that analysis to assist organizations in delivering outstanding value to their stakeholders and improving their growth.
“As organizations look to make data-driven decisions, we help them by envisioning the studies that will get them the data needed to guide day-to-day operations and set long-term strategies.” – Julie Wernert, manager, Cyberinfrastructure Assessment and Evaluation
LUCILLE LEVELS UP
XSEDE’s Cyberinfrastructure Resource integration team (XCRI) engaged with Langston University to upgrade their HPC system “Lucille” so students may learn the fundamentals of high performance parallel computing and high throughput distributed computing.
“XCRI is a valuable service for a small institution running a local cluster. This great service can be used by small HPC groups to support struggling centers with limited manpower.” – Dr. Franklin Fondjo Fotou, director of LU Computing Center for Research and Education at Langston University
BUDDY GETS A BOOST
XCRI performed a full-week remote build for the University of Central Oklahoma (UCO) on its high performance computing (HPC) system, “Buddy.” Buddy provides computational support for projects spanning particle transport, micro-mixing, stochastic modeling, ecological modeling, and bioinformatics and disease spread modeling.
“It was a pleasure working with the XCRI team on our recent rebuild of the Buddy cluster at the University of Central Oklahoma.” – Dr. Evan Lemley of University of Central Oklahoma
XCRI and CAE are supported by IU staff through the Extreme Science and Engineering Discovery Environment (XSEDE), funded by the National Science Foundation.
This material is based upon work supported by the National Science Foundation under Grant 1548562. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.