Guided performance analysis combining profile and trace tools

Judit Giménez; Jesús Labarta; F. Xavier Pegenaute; Hui Fang Wen; David Klepacki; I. Hsin Chung; Guojing Cong; Felix Voigtländer; Bernd Mohr

doi:10.1007/978-3-642-21878-1_63

Guided performance analysis combining profile and trace tools

Judit Giménez, Jesús Labarta, F. Xavier Pegenaute, Hui Fang Wen, David Klepacki, I. Hsin Chung, Guojing Cong, Felix Voigtländer, Bernd Mohr

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Performance analysis is very important to understand the applications' behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.

Original language	English
Title of host publication	Euro-Par 2010 - Parallel Processing Workshops
Subtitle of host publication	HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers
Pages	513-521
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-21878-1_63
State	Published - 2011
Externally published	Yes
Event	Parallel Processing Workshops, Euro-Par 2010: HeteroPar 2010, HPPC 2010, HiBB 2010, CoreGrid 2010, UCHPC 2010, HPCF 2010, PROPER 2010, CCPI 2010, VHPC 2010 - Ischia, Italy Duration: Aug 31 2010 → Sep 3 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6586 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Parallel Processing Workshops, Euro-Par 2010: HeteroPar 2010, HPPC 2010, HiBB 2010, CoreGrid 2010, UCHPC 2010, HPCF 2010, PROPER 2010, CCPI 2010, VHPC 2010
Country/Territory	Italy
City	Ischia
Period	08/31/10 → 09/3/10

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10.1007/978-3-642-21878-1_63

Cite this

Giménez, J., Labarta, J., Pegenaute, F. X., Wen, H. F., Klepacki, D., Chung, I. H., Cong, G., Voigtländer, F., & Mohr, B. (2011). Guided performance analysis combining profile and trace tools. In Euro-Par 2010 - Parallel Processing Workshops: HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers (pp. 513-521). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6586 LNCS). https://doi.org/10.1007/978-3-642-21878-1_63

Giménez, Judit ; Labarta, Jesús ; Pegenaute, F. Xavier et al. / Guided performance analysis combining profile and trace tools. Euro-Par 2010 - Parallel Processing Workshops: HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers. 2011. pp. 513-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Performance analysis is very important to understand the applications' behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.",

author = "Judit Gim{\'e}nez and Jes{\'u}s Labarta and Pegenaute, {F. Xavier} and Wen, {Hui Fang} and David Klepacki and Chung, {I. Hsin} and Guojing Cong and Felix Voigtl{\"a}nder and Bernd Mohr",

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doi = "10.1007/978-3-642-21878-1_63",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Euro-Par 2010 - Parallel Processing Workshops",

note = "Parallel Processing Workshops, Euro-Par 2010: HeteroPar 2010, HPPC 2010, HiBB 2010, CoreGrid 2010, UCHPC 2010, HPCF 2010, PROPER 2010, CCPI 2010, VHPC 2010 ; Conference date: 31-08-2010 Through 03-09-2010",

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Giménez, J, Labarta, J, Pegenaute, FX, Wen, HF, Klepacki, D, Chung, IH, Cong, G, Voigtländer, F & Mohr, B 2011, Guided performance analysis combining profile and trace tools. in Euro-Par 2010 - Parallel Processing Workshops: HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6586 LNCS, pp. 513-521, Parallel Processing Workshops, Euro-Par 2010: HeteroPar 2010, HPPC 2010, HiBB 2010, CoreGrid 2010, UCHPC 2010, HPCF 2010, PROPER 2010, CCPI 2010, VHPC 2010, Ischia, Italy, 08/31/10. https://doi.org/10.1007/978-3-642-21878-1_63

Guided performance analysis combining profile and trace tools. / Giménez, Judit; Labarta, Jesús; Pegenaute, F. Xavier et al.
Euro-Par 2010 - Parallel Processing Workshops: HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers. 2011. p. 513-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6586 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Guided performance analysis combining profile and trace tools

AU - Giménez, Judit

AU - Labarta, Jesús

AU - Pegenaute, F. Xavier

AU - Wen, Hui Fang

AU - Klepacki, David

AU - Chung, I. Hsin

AU - Cong, Guojing

AU - Voigtländer, Felix

AU - Mohr, Bernd

PY - 2011

Y1 - 2011

N2 - Performance analysis is very important to understand the applications' behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.

AB - Performance analysis is very important to understand the applications' behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.

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DO - 10.1007/978-3-642-21878-1_63

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Euro-Par 2010 - Parallel Processing Workshops

T2 - Parallel Processing Workshops, Euro-Par 2010: HeteroPar 2010, HPPC 2010, HiBB 2010, CoreGrid 2010, UCHPC 2010, HPCF 2010, PROPER 2010, CCPI 2010, VHPC 2010

Y2 - 31 August 2010 through 3 September 2010

ER -

Giménez J, Labarta J, Pegenaute FX, Wen HF, Klepacki D, Chung IH et al. Guided performance analysis combining profile and trace tools. In Euro-Par 2010 - Parallel Processing Workshops: HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers. 2011. p. 513-521. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-21878-1_63

Guided performance analysis combining profile and trace tools

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