TY - GEN
T1 - A visualization method of performance data for large scale parallel application based on clustering of function characteristics
AU - Li, Yunchun
AU - Lia, Yun
AU - Wang, Jinlei
PY - 2013
Y1 - 2013
N2 - Obtaining performance data of parallel program and analyzing these data are the two basic steps for analysis of parallel program behavior and optimizing program design. With the rapid development of high-performance computers, unceasing expansion of the scale of parallel program, it will produce large scale performance data for each measurement. The problems that how to deal with and demonstrate these data to developers and how to assist the developers to find problems are more difficulty. Towards the profile performance data, this paper provides a visualization method based on clustering of function characteristics, which combines the function grouping with clustering of k-value optimization to process large scale performance data, so as to provide performance analysis support for developers.
AB - Obtaining performance data of parallel program and analyzing these data are the two basic steps for analysis of parallel program behavior and optimizing program design. With the rapid development of high-performance computers, unceasing expansion of the scale of parallel program, it will produce large scale performance data for each measurement. The problems that how to deal with and demonstrate these data to developers and how to assist the developers to find problems are more difficulty. Towards the profile performance data, this paper provides a visualization method based on clustering of function characteristics, which combines the function grouping with clustering of k-value optimization to process large scale performance data, so as to provide performance analysis support for developers.
KW - clustering of k-value optimization
KW - function grouping
KW - large scale data
KW - parallel application
KW - visualization of performance data
UR - https://www.scopus.com/pages/publications/84899420507
U2 - 10.1109/ANTHOLOGY.2013.6784737
DO - 10.1109/ANTHOLOGY.2013.6784737
M3 - 会议稿件
AN - SCOPUS:84899420507
SN - 9781479916603
T3 - 2013 IEEE Conference Anthology, ANTHOLOGY 2013
BT - 2013 IEEE Conference Anthology, ANTHOLOGY 2013
PB - IEEE Computer Society
T2 - 2013 IEEE Conference Anthology, ANTHOLOGY 2013
Y2 - 1 January 2013 through 8 January 2013
ER -