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Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
[article]
2020
arXiv
pre-print
Shared resource interference is observed by applications as dynamic performance asymmetry. Prior art has developed approaches to reduce the impact of performance asymmetry mainly at the operating system and architectural levels. In this work, we study how application-level scheduling techniques can leverage moldability (i.e. flexibility to work as either single-threaded or multithreaded task) and explicit knowledge on task criticality to handle scenarios in which system performance is not only
arXiv:2009.00915v2
fatcat:xspjxhx6hrhajkzxpvypa6kmyu