Presentation
Power Patterns: Understanding the Energy Dynamics of I/O for Parallel Storage Configurations
DescriptionAs HPC applications become more I/O intensive, understanding their power consumption patterns is necessary to develop energy-saving solutions. Here, we evaluate the energy consumption of I/O operations on two popular HPC parallel file systems: Lustre and DAOS. We develop models to predict the energy usage of sequential writes and evaluate their accuracy against our gathered benchmarks. Our models can be used to enhance the accuracy of energy-predicting frameworks by allowing them to consider storage configuration when estimating total energy consumption.
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TimeTuesday, 19 November 202412pm - 5pm EST
LocationB302-B305
TP
XO/EX