High Performance Computing and Data Management Resources

Date: Wednesday, February 26, 2020

Time: 12:00 - 1:00PM MST

Presenters: Diana Dugas, CyberInfrastructure Architect, NMSU
Karl Benedict, Director of Research Data Services/ Director of IT, UNM

Abstract

High Performance Computing (HPC) Presentation: This presentation will cover how to access high performance computing resources for your work in the NM SMART Grid Center, including NMSU’s Discovery Cluster, UNM’s CARC resources, and regional/national HPC resources such as Summit (CU Boulder) and XSEDE. All NM SMART Grid Center team members have priority access to 4 GPU nodes and 2 x 3TB nodes at NMSU, and data storage. The presentation will cover how Supercomputing resources can be used for research, how to set up an account to access Discovery resources, and scheduling.

Diana Dugas - High Performance Computing and Data Management Resources

Diana Dugas is New Mexico State University’s (NMSU’s) CyberInfrastructure Architect and a trained plant geneticist, who shifted into bioinformatics. She has used various HPC/HTCs (High Performance Computer/High Throughput Computer), specifically Stampede and Bridges, both XSEDE resources. She is also an XSEDE Campus Champion. Her mission is to bring more attention and resources to the need for computational support for researchers at NMSU and the NM SMART Grid Center. She helps researchers decrease technological and computational boundaries in their research by improving access to both local and national HPC/HTCs, support granting activities, and being a general resource for campus researchers. She has a PhD from Rice University.

Karl Benedict - High Performance Computing and Data Management Resources

Karl Benedict is the Director of Research Services and Information Technology in the College of University Libraries and Learning Sciences at the University of New Mexico. He has over 30-years of experience developing data management systems, databases, online data discovery and access systems, and performing/supporting data intensive research in diverse disciplinary contexts including archaeology, disaster planning and mitigation, hydrologic and atmospheric modeling, and public health. His primary work and research interests are in the area of developing technical and human capacity for effective data management in support of analysis, visualization, collaboration and preservation.