Great Plains Network - Kansas State University Agronomy Application Deep Dive

Technical Report · Mon May 20 00:00:00 EDT 2019

DOI:https://doi.org/10.2172/1574350· OSTI ID:1574350

Zurawski, Jason ^[1]; Addleman, Hans ^[2]; Chevalier, Scott ^[2]; Robb, III, George ^[1]; Schopf, Jennifer M. ^[2]

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1. ESnet, Berkeley, CA (United States)
2. Indiana University, Bloomington, IN (United States)

In May 2019, staff members from the Engagement and Performance Operations Center (EPOC) and members of the Great Plains Network (GPN) attending their Annual Meeting meeting met with researchers at Kansas State University (KSU) for the purpose of an Application Deep Dive training session. The goal of this training session was to help characterize the requirements for an agronomy application, to enable cyberinfrastructure support staff to better understand the needs of the researchers they support, and to offer training to GPN members to be able to conduct these on their own. Material for this event includes both the written documentation from the agronomy application at KSU, details about the infrastructure setup at KSU, and also a writeup of the discussion that took place in person on May 20, 2019. EPOC, GPN, and KSU recorded a set of action items for this use case, continuing the ongoing support and collaboration. These are a reflection of the case study report, and in person discussion.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); National Science Foundation (NSF)
• DOE Contract Number: AC02-05CH11231; 1826994
• OSTI ID: 1574350
• Country of Publication: United States
• Language: English