RDVIS: A tool that visualizes the causes of low locality and hints program optimizations

Lecture Notes in Computer Science

Volumn 3515, Issue II, 2005, Pages 166-173

  Beyls, Kristof ^a   D'Hollander, Erik H ^a   Vandeputte, Frederik ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; OPTIMIZATION; VISUALIZATION; CLUSTER ANALYSIS;

CLUSTER ANALYSIS; PROGRAM OPTIMIZATION; RDVIS; VISUALIZATION TOOL; BASIC BLOCKS; LOW LOCALITIES; PROGRAM TRANSFORMATIONS; TEMPORAL DATA; VISUALIZATION TOOLS; VISUALIZERS;

COMPUTER SOFTWARE; DATA VISUALIZATION;

EID: 25144442689     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11428848_21     Document Type: Conference Paper

References (17)

1. E. Berg and E. Hagersten. Sip: Performance tuning through source code interdependence. In Euro-Par'02, volume 2400 of LNCS, pages 177-186, 2002.
2. K. Beyls and E. D'Hollander. Platform-independent cache optimization by pinpointing low-locality reuse. In ICCS 2004: 4th International Conference on computational science, volume 3038 of LNCS, pages 448-455, 2004.
3. K. Beyls and E. H. D'Hollander. Reuse distance as a metric for cache behavior. In Proceedings of PDCS'01, pages 617-662, Aug 2001.
4. R. Bosch and C. S. et al. Rivet: A flexible environment for computer systems visualization. Computer Graphics-US, 34(1):68-73, Feb. 2000.
5. J. F. Cantin and M. D. Hill. Cache performance for selected SPEC CPU2000 benchmarks. Computer Architecture News (CAN), September 2001.
6. C. Ding and Y. Zhong. Predicting whole-program locality through reuse distance analysis. In PLDI'03, ACM SIGPLAN Notices, 2003.
7. S. Ghosh. Cache Miss Equations: Compiler Analysis Framework for Tuning Memory Behaviour. PhD thesis, Princeton University, November 1999.
8. A. Goldberg and J. Hennessy. Mtool: An integrated system for performance debugging shared memory multiprocessor applications. IEEE Transactions on Parallel and Distributed Systems, 4(1):28-40, 1993.
9. A. K. Jain, M. N. Murty, and P. J. Flynn. Data clustering: a review. ACM Comput. Surv., 31(3):264-323, 1999.
10. A. R. Lebeck and D. A. Wood. Cache profiling and the SPEC benchmarks: A case study. IEEE Computer, 27(10):15-26, 1994.
11. M. Martonosi, A. Gupta, and T. Anderson. Tuning memory performance in sequential and parallel programs. IEEE Computer, April 1995.
12. K. S. McKinley, S. Carr, and C.-W. Tseng. Improving data locality with loop transformations. ACM Transactions on Programming Languages and Systems, 18(4):424-453, July 1996.
13. J. Mellor-Crummey and R. F. et al. HPCView: a tool for top-down analysis of node performance. The Journal of Supercomputing, 23:81-104, 2002.
14. T. Sherwood, E. Perelman, G. Hamerly, and B. Calder. Automatically characterizing large scale program behavior. ASPLOS, SIGPLAN Notices, 37(10):45-57, 2002.
15. E. Vanderdeijl, O. Temam, E. Granston, and G. Kanbier. The cache visualization tool. IEEE Computer, 30(7):71, 1997.
16. J. Weidendorfer, M. Kowarschik, and C. Trinitis. A tool suite for simulation based analysis of memory access behavior. In ICCS 2004: 4th International Conference on computational science, volume 3038 of LNCS, pages 440-447, 2004.
17. Y. Yu, K. Beyls, and E. D'Hollander. Visualizing the impact of cache on the program execution. In Information Visualization 2001, pages 336-341, 2001.