Introducing entropies for representing program behavior and branch predictor performance

Proceedings of the 2007 Workshop on Experimental Computer Science

Volumn , Issue , 2007, Pages

  Yokota, Takashi ^a   Ootsu, Kanemitsu ^a   Baba, Takanobu ^a  

^a UTSUNOMIYA UNIVERSITY   (Japan)

Author keywords

Architecture; Branch predictors; Information entropy; Prediction performance; Program behavior

Indexed keywords

COMPUTER PROGRAMMING; MICROPROCESSOR CHIPS; SOFTWARE ARCHITECTURE;

BRANCH PREDICTORS; INFORMATION ENTROPY; PREDICTION PERFORMANCE; PROGRAM BEHAVIOR;

DATA PROCESSING;

EID: 37849037259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1281700.1281717     Document Type: Article

References (26)

1. H. Akkay, S. T. Srinivasan, R. Koltur, Y. Patil, and W. Refaai. Perceptron-based branch confidence estimation. In Proc. 10th Int'l Symp. High-Performance Computer Architecture, pages 265-274, 2004.
2. I.-C. K. Chen, J. T. Coffey, and T. N. Mudge. Analysis of branch prediction via data compression. In Proc. 7th Int'l Conf. Architectural Support for Programming Languages and Operating Systems, pages 128-137, Oct. 1996.
3. K. Driesen and U. Hölzle. Limits of indirect branch prediction. Technical Report TRCS97-10, Computer Science Department, University of California, Santa Barbara, June 1997.
4. K. Driesen and U. Hölzle. Multi-stage cascaded prediction. Technical Report TRCS99-05, Computer Science Department, University of California, Santa Barbara, Feb. 1999.
5. F. Freitag, J. Corbalan, and J. Labarta. A dynamic periodicity detector: Application to speedup computation. In Proc. 15th Int'l Parallel and Distributed Processing Symp., Apr. 2001.
6. E. Jacobsen, E. Rotenberg, and J. E. Smith. Assigning confidence to conditional branch predictions. In Proc. 29th Annual IEEE/ACM Int'l Symp. Microarchitecture, pages 142-152, 1996.
7. S. Jha, Y. Lu, and E. Clarke. Formal analysis of branch prediction algorithm. Technical report, Computer Science, Carnegie Mellon University, 1998.
8. D. A. Jiménez. Piecewise linear branch prediction. In Proc. 32nd Annual Int'l Symp. Computer Architecture, pages 382-393, 2005.
9. D. A. Jiménez and C. Lin. Dynamic branch prediction with perceptrons. In Proc. 7th Int'l Symp. High-Performance Computer Architecture, pages 197-206, Jan. 2001.
10. M. Kampe, P. Stenstrom, and M. Dubois. The fab predictor: Using fourier analysis to predict the outcome of conditional branches. In Proc. Eighth Int'l Symp. High-Performance Computer Architecture, pages 223-232, Feb. 2002.
11. K. Kise, T. Katagiri, H. Honda, and T. Yuba. The bimode++ branch predictor using the feature of extremely biased branches. IPSJ SIG Tech. Report, 2005(7):57-62, Jan. 2005.
12. S. McFarling. Combining branch predictors. Technical Report TN-36, Digital Equipment Corp., Western Research Laboratory, June 1993.
13. T. Mudge, I.-C. Chen, and J. Coffey. Limits to branch prediction. Technical Report CSE-TR-282-96, University of Michigan, Feb. 1996.
14. C. E. Shannon. A mathematical theory of communication. Bell System Technical Journal, 27:379-423 and 623-656, July and October 1948.
15. SimpleScalar LLC. http://www.simplescalar.com/.
16. J. E. Smith. A study of branch prediction strategies. In Proc. 8th Int'l Symp. Computer Architecture, pages 135-148, May 1981.
17. Standard Performance Evaluation Corporation. SPEC CPU2000 V1.3. http://www.spec.org/cpu2000/.
18. Standard Performance Evaluation Corporation. SPEC CPU95 Benchmarks, http://www.spec.org/cpu95/.
19. The 1st JILP Championship Branch Prediction Competition, http://www.jilp.org/cbp/, 2004.
20. The 2nd JILP Championship Branch Prediction Competition, http://camino.rutgers.edu/cbp2/, 2006.
21. G. Tyson, K. Lick, and M. Farrens. Limited dual path execution. Technical Report CSE-TR-346-97, University of Michigan, 1997.
22. T.-Y. Yeh and Y. N. Patt. Two-level adaptive branch prediction. In Proc. 24th ACM/IEEE Int'l Symp. Microarchitecture, pages 51-61, Nov. 1991.
23. T. Yokota, K. Ootsu, F. Furukawa, and T. Baba. An entropy measure for branch predictor performance. IPSJ SIG Tech. Report, 2005(120):81-86, Dec. 2005.
24. T. Yokota, K. Ootsu, F. Furukawa, and T. Baba. Entropy properties in program behaviors and branch predictors. In Proc. 18th IASTED Int'l Conf. Parallel and Distributed Computing and Systems, pages 448-453, Nov. 2006.
25. T. Yokota, M. Saito, F. Furukawa, K. Ootsu, and T. Baba. Two-path limited speculation method for static/dynamic optimization in multithreaded systems. In Proc. 6th Int'l Conf. Parallel and Distributed Computing, Applications and Technologies, pages 46-50, Dec. 2005.
26. T. Yokota, M. Saito, K. Ootsu, F. Furukawa, and T. Baba. Two-path limited speculation method. IPSJ Trans. Advanced Computing Systems, 46(SIG 16 (ACS-12)):1-13, Dec. 2005.