Performance analysis and visualization tools to support the codesign of next generation computer systems
Loading...
Authors
Ross, Caitlin J.
Issue Date
2019-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
Abstract
In this work, we demonstrate the efficacy of discrete event simulation in evaluating and improving the performance of parallel and distributed scientific analysis systems, such as the MG-RAST metagenomics analysis service provided by Argonne National Laboratory. We propose hardware and job scheduling changes to their system that can improve scalability under increased user workloads that are anticipated in the future. We use event-driven simulation to evaluate the proposed changes and compare them to the current infrastructure and job scheduling policies. However, the simulation exhibits poor parallel performance, which limits the size of the workloads able to be simulated for MG-RAST. This highlights the need for scalable analysis and visualization tools for use in optimistic PDES that can be used to gain insights to their rollback behavior and performance.
Description
August 2019
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY