Energy-efficient localised rollback via data flow analysis and frequency scaling-Reference-Cited by-同舟云学术

Energy-efficient localised rollback via data flow analysis and frequency scaling

Published:2018-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th European MPI Users' Group Meeting
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Author:

Dichev Kiril¹,Cameron Kirk¹,Nikolopoulos Dimitrios S.¹

Affiliation:

1. Queen's University Belfast, Belfast, United Kingdom

Publisher

ACM

Reference28 articles.

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2. {n. d.}. Resilience Prototype. https://hpdc-gitlab.eeecs.qub.ac.uk/kdichev/data-flow-driven-rollback. {n. d.}. Resilience Prototype. https://hpdc-gitlab.eeecs.qub.ac.uk/kdichev/data-flow-driven-rollback.

3. Message logging: pessimistic, optimistic, causal, and optimal

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