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TrapFetch: A breakpoint-based prefetcher for both launch and run-time

Authors
Won, JiwoongKwon, OseokRyu, JunheeHur, JunbeomLee, InsupKang, Kyungtae
Issue Date
Oct-2017
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, pp 2766 - 2771
Pages
6
Indexed
OTHER
Journal Title
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Start Page
2766
End Page
2771
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11692
DOI
10.1109/SMC.2017.8123045
Abstract
TrapFetch is trained by monitoring the read requests issued by an application. It detects bursts of disk reads, determines the appropriate addresses at which breakpoints should be inserted in the application and library codes prior to the bursts of reads, and then logs this information with the data requested during the interval between each consecutive pair of breakpoints. When the application and library codes are loaded from the disk into memory, TrapFetch inserts breakpoints at the designated addresses based on the logs. During subsequent runs, TrapFetch is invoked at each breakpoint when it prefetches the corresponding data into the page cache. This approach is effective during both launch and run-time. TrapFetch operates at the user level, thus avoiding interference with other applications. In experiments on five popular applications (FlightGear, SpeedDreams 2, Pillars of Eternity, Eclipse, and VegaStrike), TrapFetch reduced the time for launch by up to 39.7% and time for run-time dataloading by up to 63.7%. © 2017 IEEE.
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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