HPC-05: Review performance metrics for one’s own use of a community resource

Executive Summary: 
A researcher reviews performance metrics related to the researcher’s use of a community resource.
User Importance Summary: 
High-performance and high-throughout computing services are valuable and expensive. To maximize the benefit to individual users and the community at large, all users of these systems must aim for the most efficient use possible. Performance metrics are an important way to spot inefficient code so it can be improved.
Target Communities and Sizes: 
Researchers - 1,000 < N < 10,000 Students - 10,000 < N < 100,000 Educators - 100 < N < 1,000 Science gateway developers - 100 < N < 1,000
Documents:
Full description (drafting version)
Capability delivery plan
Status: 
User Review
Use Case Author: 
Lee Liming
Use Case End User: 
researchers
educators
students
science gateway developers
Area: 
Scientific Computing
Sub-Area: 
High Performance Computing
First Proposed Date: 
2020-10-19
Last Approved Date: 
2020-10-29

National Science Foundation (NSF)

© ACCESS All Rights Reserved.

ACCESS is an advanced computing and data resource supported by the National Science Foundation and made possible through these lead institutions and their partners:
Carnegie Mellon University, University of Colorado Boulder, University of Illinois at Urbana-Champaign, and State University of New York at Buffalo .


Administrative Login