CATCH – a call-graph based automatic tool for capture of hardware performance metrics for MPI and openMP applications

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

Volumn 2400, Issue , 2002, Pages 167-176

  Derose, Luiz ^a   Wolf, Felix ^b  

^a IBM RESEARCH   (United States)

^b FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); CODES (SYMBOLS); DATA VISUALIZATION; GRAPHIC METHODS; GRAPHICAL USER INTERFACES;

AUTOMATIC TOOLS; HARDWARE PERFORMANCE; HARDWARE PERFORMANCE COUNTERS; HYBRID APPLICATIONS; OPENMP APPLICATIONS; PARALLEL APPLICATION; PERFORMANCE DATA; TARGET APPLICATION;

APPLICATION PROGRAMS;

EID: 84956859520     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45706-2_21     Document Type: Conference Paper

References (14)

1. S. Browne, J. Dongarra, N. Garner, K. London, and P. Mucci. A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters. In Proceedings of Supercomputing’00, November 2000.
2. B. R. Buck and J. K. Hollingsworth. An API for Runtime Code Patching. Journal of High Performance Computing Applications, 14(4):317–329, Winter 2000.
3. Maria Calzarossa, Luisa Massari, Alessandro Merlo, Mario Pantano, and Daniele Tessera. Medea: A Tool for Workload Characterization of Parallel Systems. IEEE Parallel and Distributed Technology, 3(4):72–80, November 1995.
4. Jordi Caubet, Judit Gimenez Jesus Labarta, Luiz DeRose, and Jeffrey Vetter. A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications. In Proceedings of the Workshop on OpenMP Applications and Tools - WOMPAT 2001, pages 53–67, July 2001.
5. Luiz DeRose. The Hardware Performance Monitor Toolkit. In Proceedings of Euro-Par, pages 122–131, August 2001.
6. Luiz DeRose, Ted Hoover Jr., and Jeffrey K. Hollingsworth. The Dynamic Probe Class Library - An Infrastructure for Developing Instrumentation for Performance Tools. In Proceedings of the International Parallel and Distributed Processing Symposium, April 2001.
7. Luiz DeRose and Daniel Reed. SvPablo: A Multi-Language Architecture- Independent Performance Analysis System. In Proceedings of the International Conference on Parallel Processing, pages 311–318, August 1999.
8. European Center for Parallelism of Barcelona (CEPBA). Paraver - Parallel Program Visualization and Analysis Tool - Reference Manual, November 2000. http://www.cepba.upc.es/paraver.
9. J. Fenlason and R. Stallman. GNU prof - The GNU Profiler. Free Software Foundation, Inc., 1997. http://www.gnu.org/manual/gprof-2.9.1/gprof.html.
10. Barton P. Miller, Mark D. Callaghan, Jonathan M. Cargille, Jeffrey K. Hollingsworth, R. Bruce Irvin, Karen L. Karavanic, Krishna Kunchithapadam, and Tia Newhall. The Paradyn Parallel Performance Measurement Tools. IEEE Computer, 28(11):37–46, November 1995.
11. Bernd Mohr, Allen Malony, and Janice Cuny. TAU Tuning and Analysis Utilities for Portable Parallel Programming. In G. Wilson, editor, Parallel Programming using C++. M.I.T. Press, 1996.
12. Daniel A. Reed, Ruth A. Aydt, Roger J. Noe, Phillip C. Roth, Keith A. Shields, Bradley Schwartz, and Luis F. Tavera. Scalable Performance Analysis: The Pablo Performance Analysis Environment. In Anthony Skjellum, editor, Proceedings of the Scalable Parallel Libraries Conference. IEEE Computer Society, 1993.
13. Research Centre Juelich GmbH. PCL - The Performance Counter Library: A Common Interface to Access Hardware Performance Counters on Microprocessors.
14. J. C. Yan, S. R. Sarukkai, and P. Mehra. Performance Measurement, Visualization and Modeling of Parallel and Distributed Programs Using the AIMS Toolkit. Software Practice & Experience, 25(4):429–461, April 1995.