Abstract
Tracefiles provide a convenient record of the behavior of HPC programs, but are not generally archived because of their storage requirements. This has hindered the developers of performance analysis tools, who must create their own tracefile collections in order to test tool functionality and usability. This paper describes a shared databank where members of the HPC community can deposit tracefiles for use in studying the performance characteristics of HPC platforms as well as in tool development activities. We describe how the Tracefile Testbed was designed and implemented to facilitate flexible searching and retrieval of tracefiles. A Web-based interface provides a convenient mechanism for browsing and downloading collections of tracefiles and tracefile segments based on a variety of characteristics. The paper discusses the key implementation challenges.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
R. Eigenmann and S. Hassanzadeh. Benchmarking with Real Industrial Applications: The SPEC High-Performance Group. IEEE Computational Science and Engineering, Spring Issue, 1996.
T. Fahringer and A. Pozgaj. P3T+: A Performance Estimator for Distributed and Parallel Programs. Journal of Scientific Programming, 7(1), 2000.
B.P. Miller et al. The Paradyn Parallel Measurement Performance Tool. IEEE Computer, 28(11):37–46, 1995.
K.L. Karavanic and B.P. Miller. Improving Online Performance Diagnosis by the Use of Historical Performance Data. In Proc. SC’99, 1999.
C.M. Pancake, M. Newsome and J. Hanus. ’split Personalities’ for Scientific Databases: Targeting Database Middleware and Interfaces to Specific Audiences. Future Generation Computing Systems, 6: 135–152, 1999.
S.E. Perl, W.E. Weihl, and B. Noble. Continuous Monitoring and Performance Specification. Technical Report 153, Digital Systems Research Center, June 1998.
D.A. Reed et al. Performance Analysis of Parallel Systems: Approaches and Open Problems. In Joint Symposium on Parallel Processing, pages 239–256, 1998.
S. Shende and A. Malony and J. Cuny and K. Lindlan and P. Beckman and S. Karmesin, Portable Profiling and Tracing for Parallel Scientific Applications using C++. In Proc. SPDT’98: ACM SIGMETRICS Symposium on Parallel and Distributed Tools, pages 134–145, 1998.
J. Yan, S. Sarukhai, and P. Mehra, “Performance Measurement, Visualization and Modeling of Parallel and Distributed Programs Using the AIMS Toolkit,” Software-Practice and Experience, 25(4): 429–461, 1995.
O. Zaki, E. Lusk, W. Gropp, and D. Swider. Toward Scalable Performance Visualization with Jumpshot. The International Journal of High Performance Computing Applications, 13(2):277–288, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ferschweiler, K., Calzarossa, M., Pancake, C., Tessera, D., Keon, D. (2001). A Community Databank for Performance Tracefiles. In: Cotronis, Y., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2001. Lecture Notes in Computer Science, vol 2131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45417-9_33
Download citation
DOI: https://doi.org/10.1007/3-540-45417-9_33
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42609-7
Online ISBN: 978-3-540-45417-5
eBook Packages: Springer Book Archive