Abstract:
Data locality in distributed memories has a significant performance impact on NUMA multi-core systems owing to non-uniform memory accesses. In addition, memory contention...Show MoreMetadata
Abstract:
Data locality in distributed memories has a significant performance impact on NUMA multi-core systems owing to non-uniform memory accesses. In addition, memory contention also influences the performance of multi-core systems. The performance degradation caused by both effects should be analyzed before performance optimization because data locality and memory contention are mutually dependent. A reduction of one effect could cancel performance gains due to another effect. A novel post-processing method based on non-intrusive tracing is proposed in this paper to analyze the performance impact incurred by both data locality and memory contention in a quantitative, comparable way. It makes use of non-intrusive tracing, which has no impact on normal execution and timing. The analysis provides results including data locality and memory contention penalties, which can be used as a reference to improve performance.
Published in: 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)
Date of Conference: 21-23 September 2016
Date Added to IEEE Xplore: 08 December 2016
ISBN Information: