Trusted performance analysis on systems with a shared memory
Authors:
- Jiaqi Zhao,
- Changlong Xue,
- Jie Tao,
- Rajiv Ranjan,
- Joanna Kołodziej,
- Lizhe Wang,
- Dan Chen
Abstract
With the increasing complexity of both data structures and computer architectures, the performance of applications needs fine tuning in order to achieve the expected runtime execution time. Performance tuning is traditionally based on the analysis of performance data. The analysis results may not be accurate, depending on the quality of the data and the applied analysis approaches. Therefore, application developers may ask: Can we trust the analysis results? This paper introduces our research work in performance optimization of the memory system, with a focus on the cache locality of a shared memory and the memory locality of a distributed shared memory. The quality of the data analysis is guaranteed by using both real performance data acquired at the runtime while the application is running and well-established data analysis algorithms in the field of bioinformatics and data mining. We verified the quality of the proposed approaches by optimizing a set of benchmark applications. The experimental results show a significant performance gain.
- Record ID
- CUT935a4d82408746418af79dbbe4245f68
- Publication categories
- ;
- Author
- Journal series
- IEEE Systems Journal, ISSN 1932-8184, e-ISSN 1937-9234
- Issue year
- 2017
- Vol
- 11
- No
- 1
- Pages
- 272-282
- Other elements of collation
- rys.; wykr.; Bibliografia (na s.) - 280-281; Bibliografia (liczba pozycji) - 46; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 11, No. 1
- Keywords in English
- code optimization, data analysis, data locality, distributed shared memory, performance tuning, runtime, optimization, monitoring, radiation detectors, data mining, hardware, decision trees
- DOI
- DOI:10.1109/JSYST.2014.2365234 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/document/7031930 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 35
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT935a4d82408746418af79dbbe4245f68/
- URN
urn:pkr-prod:CUT935a4d82408746418af79dbbe4245f68
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.