Abstract
Future exascale systems are expected to have significantly reduced network bandwidth relative to computational performance than current systems. Clearly, this will impact bandwidth-intensive applications, so it is important to gain insight into the magnitude of the negative impact on performance and scalability to help identify mitigation strategies. In this paper, we show how current systems can be configured to emulate the expected imbalance of future systems. We demonstrate this approach by reducing the network injection bandwidth performance of a 160-node, 1920-core Cray XT5 system and analyze the performance and scalability of a suite of MPI benchmarks and applications.
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.
Similar content being viewed by others
References
Alam, S.R., Vetter, J.S.: An analysis of system balance requirements for scientific applications. In: ICPP 2006: Proceedings of the International Conference on Parallel Processing (2006)
Alvin, K., Barrett, B., Brightwell, R., Dosanjh, S., Geist, A., Hemmert, S., Heroux, M., Kothe, D., Murphy, R., Nichols, J., Oldfield, R., Rodrigues, A., Vetter, J.: On the Path to Exascale. International Journal of Distributed Systems and Technologies 1(2), 1–22 (2010)
Ang, J.A., Barnette, D., Benner, B., Goudy, S., Malins, B., Rajan, M., Vaughan, C.: Supercomputer and cluster performance modeling and analysis efforts: 2004-2006. Tech. rep., Sandia National Laboratories Technical Report, SAND2007-0601 (2007)
Brightwell, R., Hudson, T., Pedretti, K., Underwood, K.D.: SeaStar Interconnect: Balanced bandwidth for Scalable Performance. IEEE Micro 26(3), 41–57 (2006)
Hertel Jr., E.S., Bell, R., Elrick, M., Farnsworth, A., Kerley, G., McGlaun, J., Petney, S., Silling, S., Taylor, P., Yarrington, L.: CTH: A Software Family for Multi-Dimensional Shock Physics Analysis. In: Proceedings of the International Symposium on Shock Waves, pp. 377–382 (July 1993)
Ferreira, K.B., Bridges, P., Brightwell, R.: Characterizing application sensitivity to OS interference using kernel-level noise injection. In: SC 2008: Proceedings of the International Conference on High-Performance Computing, Networking, Storage, and Analysis (November 2008)
Gittings, M., Weaver, R., Clover, M., Betlach, T., Byrne, N., Coker, R., Dendy, E., Hueckstaedt, R., New, K., Oakes, W.R., Ranta, D., Stefan, R.: The rage radiation-hydrodynamic code. Computational Science & Discovery 1(1), 015005 (2008)
Hoefler, T., Schneider, T., Lumsdaine, A.: Characterizing the Influence of System Noise on Large-Scale Applications by Simulation. In: SC 2010: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (November 2010)
Hoisie, A., Johnson, G., Kerbyson, D.J., Lang, M., Pakin, S.: A performance comparison through benchmarking and modeling of three leading supercomputers: Blue Gene/L, Red Storm, and Purple. In: SC 2006: Proceedings of the International Conference on High-Performance Computing, Networking, Storage, and Analysis (November 2006)
Kogge, P.M., et al.: Exascale computing study: Technology challenges in achieving exascale systems. Tech. rep., University of Notre Dame CSE Department Technical Report, TR-2008-13 (September 2008)
Lin, P.T., Shadid, J.N., Sala, M., Tuminaro, R.S., Hennigan, G.L., Hoekstra, R.J.: Performance of a parallel algebraic multilevel preconditioner for stabilized finite element semiconductor device modeling. Journal of Computational Physics 228, 6250–6267 (2009)
Luszczek, P., Dongarra, J., Koester, D., Rabenseifner, R., Lucas, B., Kepner, J., Mccalpin, J., Bailey, D., Takahashi, D.: Introduction to the HPC Challenge (HPCC) benchmark suite. Technical Report (March 2005), http://icl.cs.utk.edu/projectsfiles/hpcc/pubs/hpcc-challenge-benchmark05.pdf
Rodrigues, A.: Programming Future Architectures: Dusty Decks, Memory Walls, and the Speed of Light, ch. 3, pp. 56–81. University of Notre Dame (2006)
Weaver, R., Gittings, M.: Massively parallel simulations with DOE’s ASCI supercomputers: An overview of the Los Alamos Crestone project. In: Adaptive Mesh Refinement - Theory and Applications. Lecture Notes in Computational Science and Engineering, vol. 41, pp. 29–56. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pedretti, K.T., Brightwell, R., Doerfler, D., Hemmert, K.S., Laros, J.H. (2011). The Impact of Injection Bandwidth Performance on Application Scalability. In: Cotronis, Y., Danalis, A., Nikolopoulos, D.S., Dongarra, J. (eds) Recent Advances in the Message Passing Interface. EuroMPI 2011. Lecture Notes in Computer Science, vol 6960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24449-0_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-24449-0_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24448-3
Online ISBN: 978-3-642-24449-0
eBook Packages: Computer ScienceComputer Science (R0)