Abstract

This paper studies two basic problems in the design of high-performance and high-reliability heterogeneous systems: (1) what type of core to execute each task, and (2) where to place checkpoints in the execution of tasks. The implementation of checkpointing techniques on the novel persistent memory (e.g., 3D Xpoint memory) based heterogeneous systems faces a bundle of new problems. First, the assignments of tasks may greatly influence the execution time of the whole application. Therefore, with the same time constraint, the reliability of the resultant system can be significantly affected. Second, creating checkpoints will incur heavy writes on persistent memories and reduce the lifetime of devices. In this paper, we optimally construct reliable systems by assigning tasks to the most suitable cores and placing minimum number of checkpoints in the application, such that the resultant system can satisfy the time constraint in the presence of faults. We devise an efficient dynamic programming algorithm to obtain the optimal assignment and checkpoint placement. Experimental results demonstrate that, compared with existing approaches, our technique can achieve 44% reductions on the number of checkpoints on average.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.