Presentation
Proposal for a Parallel Automatic Tuning Using d-Spline According to the Operating State of the Computer System
DescriptionSoftware auto-tuning (AT) is a technology that parameterizes factors that affect performance as "performance parameters" and automatically tunes performance. In AT, the tool searches for better values for performance parameters by repeatedly running the program. Therefore, if the target is a program with long execution times, such as machine learning, AT will take a very long time. For this problem, we have tried to reduce the time by running the target program in parallel. However, simple parallelization does not always take full advantage of the parallelism of the computer system.
In this study, we proposed the system-resource-based search. This method increases the number of execution targets, and the system does not have excess computing resources. The system-resource-based search was independent of the size of the search space and made the best use of the computational resources available on the supercomputer.
In this study, we proposed the system-resource-based search. This method increases the number of execution targets, and the system does not have excess computing resources. The system-resource-based search was independent of the size of the search space and made the best use of the computational resources available on the supercomputer.
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