Characterizing load and communication imbalance in large-scale parallel applications

Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012

Volumn , Issue , 2012, Pages 2538-2541

  Böhme, David ^a   Wolf, Felix ^a   Geimer, Markus ^b  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b Julich Supercomputing Centre   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL PATHS; LOAD IMBALANCE; MPI PROGRAMS; PARALLEL APPLICATION; PARALLEL PROGRAM; PERFORMANCE INDICATORS; RESOURCE CONSUMPTION; RESOURCE WASTES; RUNTIMES; SCALABLE METHODS; SYNCHRONIZATION POINTS;

BENCHMARKING; DISTRIBUTED PARAMETER NETWORKS; PARALLEL ARCHITECTURES; SCALABILITY; SUPERCOMPUTERS;

COMMUNICATION;

EID: 84867431383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPSW.2012.321     Document Type: Conference Paper

References (11)

1. M. Geimer, F. Wolf, B. J. N. Wylie, and B. Mohr, "A Scalable Tool Architecture for Diagnosing Wait States in Massively Parallel Applications," Parallel Computing, vol. 35, no. 7, pp. 375-388, Jul. 2009.
2. D. Böhme, M. Geimer, F. Wolf, and L. Arnold, "Identifying the root causes of wait states in large-scale parallel applications," in Proc. of the 39th International Conference on Parallel Processing (ICPP, San Diego, CA, USA). IEEE Computer Society, Sep. 2010, pp. 90-100.
3. D. Böhme, B. R. de Supinski, M. Geimer, M. Schulz, and F. Wolf, "Scalable critical-path based performance analysis," in Proc. of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2012) (to appear), 2012.
4. N. R. Tallent, L. Adhianto, and J. Mellor-Crummey, "Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles," in Supercomputing 2010, New Orleans, LA, USA, Nov. 2010.
5. L. DeRose, B. Homer, and D. Johnson, "Detecting application load imbalance on high end massively parallel systems," in Euro-Par 2007 Parallel Processing, ser. Lecture Notes In Computer Science, vol. 4641. Springer, 2007, pp. 150-159.
6. M. Calzarossa, L. Massari, and D. Tessera, "A methodology towards automatic performance analysis of parallel applications," Parallel Computing, vol. 30, no. 2, pp. 211-223, Feb. 2004.
7. W. E. Nagel, A. Arnold, M. Weber, H. C. Hoppe, and K. Solchenbach, "VAMPIR: Visualization and Analysis of MPI Resources," Supercomputer, vol. 12, no. 1, pp. 69-80, 1996.
8. W. Meira Jr., T. J. LeBlanc, and V. A. F. Almeida, "Using cause-effect analysis to understand the performance of distributed programs," in SPDT '98: Proceedings of the SIGMETRICS symposium on Parallel and distributed tools. New York, NY, USA: ACM, 1998, pp. 101-111.
9. M. Schulz, "Extracting Critical Path Graphs from MPI Applications," in Proceedings of the 7th IEEE International Conference on Cluster Computing, September 2005.
10. C. A. Alexander, D. S. Reese, J. C. Harden, and R. B. Brightwell, "Near-Critical Path Analysis: A Tool for Parallel Program Optimization," in Proceedings of the First Southern Symposium on Computing, 1998.
11. J. K. Hollingsworth, "An Online Computation of Critical Path Profiling," in Proceedings of the SIGMETRICS Symposium on Parallel and Distributed Tools (SPDT '96), 1996.