FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance

Author:

Xiao Jun12ORCID,Xiang Yaocheng2ORCID,Wang Xiaolin2ORCID,Luo Yingwei2ORCID,Pimentel Andy1ORCID,Wang Zhenlin3ORCID

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

2. Peking University, Beijing, China

3. Michigan Tech, Houghton, United States of America

Publisher

ACM

Reference44 articles.

1. An analytical cache model

2. Michael Badamo , Jeff Casarona , Minshu Zhao , and Donald Yeung . Identifying power-efficient multicore cache hierarchies via reuse distance analysis. ACM Transactions on Computer Systems (TOCS), 34(1):3 , 2016 . Michael Badamo, Jeff Casarona, Minshu Zhao, and Donald Yeung. Identifying power-efficient multicore cache hierarchies via reuse distance analysis. ACM Transactions on Computer Systems (TOCS), 34(1):3, 2016.

3. Nathan Beckmann and Daniel Sanchez . Modeling cache performance beyond lru . In 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA) , pages 225 -- 236 . IEEE, 2016 . Nathan Beckmann and Daniel Sanchez. Modeling cache performance beyond lru. In 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA), pages 225--236. IEEE, 2016.

4. Erik Berg and Erik Hagersten . Fast data-locality profiling of native execution . In ACM SIGMETRICS Performance Evaluation Review , volume 33 , pages 169 -- 180 . ACM , 2005 . Erik Berg and Erik Hagersten. Fast data-locality profiling of native execution. In ACM SIGMETRICS Performance Evaluation Review, volume 33, pages 169--180. ACM, 2005.

5. Optimal Cache Partition-Sharing

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