@techreport{oai:ipsj.ixsq.nii.ac.jp:00203321,
 author = {Yang, Qin and Shinya, Honda and Hiroaki, Takada and Gang, Zeng and Yang, Qin and Shinya, Honda and Hiroaki, Takada and Gang, Zeng},
 issue = {38},
 month = {Feb},
 note = {Modern microprocessors usually employ shard cache to keep high-speed communication with programs. Since many tasks in real-time embedded systems have implicit timing requirements, unpredictable execution time due to cache contention has become a major challenge. With carefully engineered concurrent applications, up to 168X execution time increase was observed on a real embedded multicore platform. Moreover, cache contention can cause different degrees of performance degradation concerning the characteristics of concurrent applications and processing processors. In this paper, we focus on analyzing the main factors contributing to varying performance degradations caused by the cache contention in multicore platforms. We evaluate eight SPEC 2017 benchmarks and two separate regulations doing read and write operations in memory. Evaluation results show that the application characteristics, CPU designs and implementation platforms cause significant effects on the variabilities in performance degradation., Modern microprocessors usually employ shard cache to keep high-speed communication with programs. Since many tasks in real-time embedded systems have implicit timing requirements, unpredictable execution time due to cache contention has become a major challenge. With carefully engineered concurrent applications, up to 168X execution time increase was observed on a real embedded multicore platform. Moreover, cache contention can cause different degrees of performance degradation concerning the characteristics of concurrent applications and processing processors. In this paper, we focus on analyzing the main factors contributing to varying performance degradations caused by the cache contention in multicore platforms. We evaluate eight SPEC 2017 benchmarks and two separate regulations doing read and write operations in memory. Evaluation results show that the application characteristics, CPU designs and implementation platforms cause significant effects on the variabilities in performance degradation.},
 title = {Analysis of Performance Degradation on Shared Cache in Multicore Systems},
 year = {2020}
}