Resource Profiling and Performance Modeling for Distributed Scientific Computing Environments

Resource Profiling and Performance Modeling for Distributed Scientific Computing Environments

Scientific applications often require substantial amount of computing resources for running challenging jobs potentially consisting of many tasks from hundreds of thousands to even millions. As a result, many institutions collaborate to solve large-scale problems by creating virtual organizations (V...

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Bibliographic Details
Main Authors: Md Azam Hossain, Soonwook Hwang, Jik-Soo Kim
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
distributed scientific computing
supercomputing
cluster computing
virtual organization
resource profiling
performance prediction
Online Access:https://www.mdpi.com/2076-3417/12/9/4797

Internet

https://www.mdpi.com/2076-3417/12/9/4797

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