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MAPS: Understanding Metadata Access Patterns in Secure Memory

Publication ,  Conference
Lehman, TS; Hilton, AD; Lee, BC
Published in: Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018
May 25, 2018

Secure memory increases both the latency and energy required for memory accesses. To reduce these overheads, computer architects have sought to cache metadata on the processor chip, but placing metadata in a simple cache has not been as effective as expected. With a detailed analysis of metadata access patterns, we clarify myths in metadata caching and provide insight into more efficient caching strategies. We provide three observations that can help architects design future metadata caches. First, caching all metadata types improves efficiency. Second, the size of the metadata cache should match the reuse distance of the metadata. Third, when designing a better eviction policy, the traditional Belady's MIN algorithm cannot be used as the optimal replacement policy.

Duke Scholars

Published In

Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018

DOI

ISBN

9781538650103

Publication Date

May 25, 2018

Start / End Page

33 / 43
 

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Lehman, T. S., Hilton, A. D., & Lee, B. C. (2018). MAPS: Understanding Metadata Access Patterns in Secure Memory. In Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018 (pp. 33–43). https://doi.org/10.1109/ISPASS.2018.00012
Lehman, T. S., A. D. Hilton, and B. C. Lee. “MAPS: Understanding Metadata Access Patterns in Secure Memory.” In Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018, 33–43, 2018. https://doi.org/10.1109/ISPASS.2018.00012.
Lehman TS, Hilton AD, Lee BC. MAPS: Understanding Metadata Access Patterns in Secure Memory. In: Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018. 2018. p. 33–43.
Lehman, T. S., et al. “MAPS: Understanding Metadata Access Patterns in Secure Memory.” Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018, 2018, pp. 33–43. Scopus, doi:10.1109/ISPASS.2018.00012.
Lehman TS, Hilton AD, Lee BC. MAPS: Understanding Metadata Access Patterns in Secure Memory. Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018. 2018. p. 33–43.

Published In

Proceedings - 2018 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2018

DOI

ISBN

9781538650103

Publication Date

May 25, 2018

Start / End Page

33 / 43