Abstract
Nowadays scientific endeavor becomes more and more hungry for computational power of the state-of-the-art supercomputers. However the current trend in the performance increase comes along with tremendous increase in power consumption. One of the approaches allowing to overcome the issue is tight coupling of the simplified low-frequency cores into massively parallel system, such as IBM BlueGene/P (BG/P) combining hundreds of thousands cores. In addition to revolutionary system design this scale requires new approaches in application development and performance tuning. In this paper we present a new scalable BG/P tailored design for an automatic performance analysis tool - Periscope. In this work we have elicited and implemented a new design for porting Periscope to BG/P which features optimal system utilization, minimal monitoring intrusion and high scalability.
This work is partially funded by BMBF under the ISAR project, grant 01IH08005A and the SILC project, grant 6.
Chapter PDF
Similar content being viewed by others
References
IBM BlueGene team: Overview of the IBM BlueGene/P project. IBM Jopurnal of Research and Development 52(1/2), 199–220 (2008)
Sosa, C., Knudson, B.: IBM System Blue Gene Solution: Blue Gene/P Application Development. International Technical Support Organization, 4th edn. (August 2009)
DelSignore, J.: TotalView on Blue Gene/L, “Presented at” Blue Gene/L: Applications, Architecture and Software Workshop, http://www.llnl.gov/asci/platforms/bluegene/papers/26delsignore.pdf
Gerndt, M., Fürlinger, K., Kereku, E.: Advanced techniques for performance analysis. NIC, vol. 33, pp. 15–26 (2006)
Benedict, S., Brehm, M., Gerndt, M., Guillen, C., Hesse, W., Petkov, V.: Automatic Performance Analysis of Large Scale Simulations. In: Lin, H.-X., Alexander, M., Forsell, M., Knüpfer, A., Prodan, R., Sousa, L., Streit, A. (eds.) Euro-Par 2009. LNCS, vol. 6043, pp. 199–207. Springer, Heidelberg (2010)
Gerndt, M., Strohhäcker, S.: Distribution of Periscope analysis agents on ALTIX 4700. In: Proceedings of the International Conference on the Parallel Computing (ParCo 2007). Advances in Parallel Computing, vol. 15, pp. 113–120. IOS Press (2007)
Fahringer, T., Gerndt, M., Riley, G., Träff, J.: Knowledge specification for automatic performance analysis. APART Technical Report (2001), http://www.fz-juelich.de/apart
Wylie, B.J.N., Bohme, D., Mohr, B., Szebenyi, Z., Wolf, F.: Performance analysis of Sweep3D on Blue Gene/P with the Scalasca toolset. In: IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW 2010). IEEE (2010) - 978-1-4244-6533-0. - S. 1 - 8
NPB. NAS Parallel Benchmark, http://www.nas.nasa.gov/resources/software/newlinenpb.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Oleynik, Y., Gerndt, M. (2012). Scalable Automatic Performance Analysis on IBM BlueGene/P Systems. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-29740-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29739-7
Online ISBN: 978-3-642-29740-3
eBook Packages: Computer ScienceComputer Science (R0)