The Community for Technology Leaders
RSS Icon
Issue No.03 - May/June (2011 vol.31)
pp: 32-45
Juan Gonzalez , Barcelona Supercomputing Center
Judit Gimenez , Barcelona Supercomputing Center
Marc Casas , Lawrence Livermore National Laboratory
Miquel Moreto , Polytechnic University of Catalonia
Alex Ramirez , Polytechnic University of Catalonia
Jesus Labarta , Polytechnic University of Catalonia
Mateo Valero , Polytechnic University of Catalonia
<p>Detailed simulations of large scale message-passing interface parallel applications are extremely time consuming and resource intensive. A new methodology that combines signal processing and data mining techniques plus a multilevel simulation reduces the simulated data by various orders of magnitude. This reduction makes possible detailed software performance analysis and accurate performance predictions in a reasonable time.</p>
parallel applications, performance analysis, performance prediction, spectral analysis, cluster analysis, microarchitecture simulation, network simulation, Barcelona Supercomputing Center, message-passing interface
Juan Gonzalez, Judit Gimenez, Marc Casas, Miquel Moreto, Alex Ramirez, Jesus Labarta, Mateo Valero, "Simulating Whole Supercomputer Applications", IEEE Micro, vol.31, no. 3, pp. 32-45, May/June 2011, doi:10.1109/MM.2011.58
1. E.A. Brewer et al., "PROTEUS: A High-Performance Parallel-Architecture Simulator," Proc. ACM SIGMETRICS Joint Int'l Conf. Measurement and Modeling of Computer Systems, ACM Press, 1992, pp. 247-248.
2. J.E. Miller et al., "Graphite: A Distributed Parallel Simulator for Multicores," Proc. 16th IEEE Int'l Symp. High Performance Computer Architecture, IEEE Press, 2010, doi:10.1109/HPCA.2010.5416635.
3. E. Argollo et al., "COTSon: Infrastructure for Full System Simulation," ACM SIGOPS Operating Systems Review, vol. 43, no. 1, 2009, pp. 52-61.
4. E.S. Chung et al., "A Complexity-Effective Architecture for Accelerating Full-System Multiprocessor Simulations Using FPGAs," Proc. 16th Int'l ACM/SIGDA Symp. Field Programmable Gate Arrays, ACM Press, 2008, pp. 77-86.
5. E. Perelman et al., "Using SimPoint for Accurate and Efficient Simulation," Proc. ACM SIGMETRICS Int'l Conf. Measurement and Modeling of Computer Systems, ACM Press, 2003, pp. 318-319.
6. R.E. Wunderlich et al., "SMARTS: Accelerating Microarchitecture Simulation via Rigorous Statistical Sampling," ACM SIGARCH Computer Architecture News, vol. 31, no. 2, 2003, pp. 84-97.
7. M. Casas, R.M. Badia, and J. Labarta, "Automatic Structure Extraction from MPI Applications Tracefiles," Proc. Int'l Euro-Par Conf. Parallel Computing, LNCS 4641, Springer, 2007, pp. 3-12.
8. M. Ester et al., "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise," Proc. 2nd Int'l Conf. Knowledge Discovery and Data Mining, AAAI Press, 1996, pp. 226-231.
9. J. Gonzalez, J. Gimenez, and J. Labarta, "Automatic Detection of Parallel Applications Computation Phases," Proc. IEEE Int'l Symp. Parallel & Distributed Processing, IEEE CS Press, 2009, doi:10.1109/IPDPS.2009.5161027.
10. S. Girona, J. Labarta, and R.M. Badia, "Validation of Dimemas Communication Model for MPI Collective Operations," Proc. 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface, Springer, 2000, pp. 39-46.
11. G. Toht, "Versatile Advection Code," Proc. Int'l Conf. Exhibition on High-Performance Computing and Networking, Springer, 1997, pp. 253-262.
12. J. Michalakes et al., "The Weather Research and Forecast Model: Software Architecture and Performance," Proc. 11th ECMWF Workshop Use of High Performance Computing in Meteorology, World Scientific Books, 2004, pp. 156-168.
18 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool