Phase complexity surfaces: Characterizing time-varying program behavior

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4917 LNCS, Issue , 2008, Pages 320-334

  Vandeputte, Frederik ^a   Eeckhout, Lieven ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; PHASE BEHAVIOR; PROGRAM COMPILERS;

COMPUTER PROGRAMS; EMBEDDED ARCHITECTURES; INTERNATIONAL CONFERENCES; PROGRAM BEHAVIORS; PROGRAM EXECUTIONS; RESEARCH STUDIES; TIME SCALING; TIME-VARYING;

TIME VARYING SYSTEMS;

EID: 49949105892     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77560-7_22     Document Type: Conference Paper

References (28)

1. Balasubramonian, R., Albonesi, D., Buyuktosunoglu, A., Dwarkadas, S.: Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures. In: MICRO (December 2000)
2. Burger, D.C., Austin, T.M.: The SimpleScalarTool Set. Computer Architecture News (1997), http://www.simplescalar.com
3. Chen, I.K., Coffey, J.T., Mudge, T.N.: Analysis of branch prediction via data compression. In: ASPLOS, pp. 128-137 (October 1996)
4. Cho, C.-B., Li, T.: Complexity-based program phase analysis and classification. In: PACT, pp. 105-113 (September 2006)
5. Cho, C.-B., Li, T.: Using wavelet domain workload execution characteristics to improve accuracy, scalability and robustness in program phase analysis. In: ISPASS (March 2007)
6. Dhodapkar, A., Smith, J.E.: Dynamic microarchitecture adaptation via co-designed virtual machines. In: International Solid State Circuits Conference (February 2002)
7. Dhodapkar, A., Smith, J.E.: Managing multi-configuration hardware via dynamic working set analysis. In: ISCA (May 2002)
8. Duesterwald, E., Cascaval, C., Dwarkadas, S.: Characterizing and predicting program behavior and its variability. In: Malyshkin, V. (ed.) PaCT 2003. LNCS, vol. 2763, Springer, Heidelberg (2003)
9. Eeckhout, L., Sampson, J., Calder, B.: Exploiting program microarchitecture independent characteristics and phase behavior for reduced benchmark suite simulation. In: IISWC, pp. 2-12 (October 2005)
10. Eeckhout, L., Vandierendonck, H., De Bosschere, K.: Workload design: Selecting representative program-input pairs. In: PACT, pp. 83-94 (September 2002)
11. Georges, A., Buytaert, D., Eeckhout, L., De Bosschere, K.: Method-level phase behavior in Java workloads. In: OOPSLA, pp. 270-287 (October 2004)
12. Huang, M., Renau, J., Torrellas, J.: Positional adaptation of processors: Application to energy reduction. In: ISCA (June 2003)
13. Huffmire, T., Sherwood, T.: Wavelet-based phase classification. In: PACT, pp. 95-104 (September 2006)
14. Isci, C., Martonosi, M.: Identifying program power phase behavior using power vectors. In: WWC (September 2003)
15. Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis, 5th edn. Prentice Hall, Englewood Cliffs (2002)
16. Lau, J., Perelman, E., Calder, B.: Selecting software phase markers with code structure analysis. In: CGO, pp. 135-146 (March 2006)
17. Lau, J., Perelman, E., Hamerly, G., Sherwood, T., Calder, B.: Motivation for variable length intervals and hierarchical phase behavior. In: ISPASS, pp. 135-146 (March 2005)
18. Lau, J., Sampson, J., Perelman, E., Hamerly, G., Calder, B.: The strong correlation between code signatures and performance. In: ISPASS (March 2005)
19. Lau, J., Schoenmackers, S., Calder, B.: Structures for phase classification. In: ISPASS, pp. 57-67 (March 2004)
20. Lau, J., Schoenmackers, S., Calder, B.: Transition phase classification and prediction. In: HPCA, pp. 278-289 (February 2005)
21. Nagpurkar, P., Krintz, C., Sherwood, T.: Phase-aware remote profiling. In: CGO, pp. 191-202 (March 2005)
22. Patil, H., Cohn, R., Charney, M., Kapoor, R., Sun, A., Karunanidhi, A.: Pinpointing representative portions of larhe Intel Itanium programs with dynamic instrumentation. In: MICRO, pp. 81-93 (December 2004)
23. Perelman, E., Hamerly, G., Calder, B.: Picking statistically valid and early simulation points. In: Malyshkin, V. (ed.) PaCT 2003. LNCS, vol. 2763, pp. 244-256. Springer, Heidelberg (2003)
24. Shen, X., Zhong, Y., Ding, C.: Locality phase prediction. In: ASPLOS (October 2004)
25. Sherwood, T., Perelman, E., Calder, B.: Basic block distribution analysis to find periodic behavior and simulation points in applications. In: Malyshkin, V. (ed.) PaCT 2001. LNCS, vol. 2127, pp. 3-14. Springer, Heidelberg (2001)
26. Sherwood, T., Perelman, E., Hamerly, G., Calder, B.: Automatically characterizing large scale program behavior. In: ASPLOS, pp. 45-57 (October 2002)
27. Sherwood, T., Sair, S., Calder, B.: Phase tracking and prediction. In: ISCA, pp. 336-347 (June 2003)
28. Vandeputte, F., Eeckhout, L., De Bosschere, K.: A detailed study on phase predictors. In: Cunha, J.C., Medeiros, P.D. (eds.) Euro-Par 2005. LNCS, vol. 3648, pp. 571-581. Springer, Heidelberg (2005)