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Onboarding Interdisciplinary Scientists to a GPU Based Cluster in Vermont

Project Information

HPC, Deep-Learning, Programming Languages and Software Support,
Project Status: Complete
Project Region: Northeast
Submitted By: Northeast Cyberteam
Project Email: aelledge@uvm.edu
Project Institution: University of Vermont
Anchor Institution: NE-University of Vermont
Project Address: 85 Prospect Street
Burlington, Vermont. 05405

Mentors: Adrian Del Maestro, Andrea Elledge
Students: Ian Kimmel

Project Description

The existence of a new GPU cluster at the University of Vermont (DeepGreen) expected to come online in Summer 2019 necessitates a new approach for onboarding researchers across disciplines. This includes the goal of introducing new users with varying high performance computational skillsets to the instrument. The research computing facilitator will design and build a set of curricular materials that meet the needs of UVM researchers while simultaneously developing competency in various machine learning frameworks. Ultimately we hope to give researchers enough training to allow them to incorporate machine intelligence into their workflows.

Project Information

HPC, Deep-Learning, Programming Languages and Software Support,
Project Status: Complete
Project Region: Northeast
Submitted By: Northeast Cyberteam
Project Email: aelledge@uvm.edu
Project Institution: University of Vermont
Anchor Institution: NE-University of Vermont
Project Address: 85 Prospect Street
Burlington, Vermont. 05405

Mentors: Adrian Del Maestro, Andrea Elledge
Students: Ian Kimmel

Project Description

The existence of a new GPU cluster at the University of Vermont (DeepGreen) expected to come online in Summer 2019 necessitates a new approach for onboarding researchers across disciplines. This includes the goal of introducing new users with varying high performance computational skillsets to the instrument. The research computing facilitator will design and build a set of curricular materials that meet the needs of UVM researchers while simultaneously developing competency in various machine learning frameworks. Ultimately we hope to give researchers enough training to allow them to incorporate machine intelligence into their workflows.