참고문헌 (31)

1. Smith JE (1981) A study of branch prediction strategies. In: Proceedings of the 8th annual symposium on computer architecture (ISCA), pp 135-148 

2. 10.1145/123465.123475 Yeh T-Y, Patt YN (1991) Two-level adaptive training branch prediction. In: Proceedings of the 24th annual ACM/IEEE international symposium on microarchitecture (MICRO), pp 51-61 

   

3. 10.1145/165123.165161 Yeh TY, Patt YN (1993) A comparison of dynamic branch predictors that use two-levels of branch history. In: Proceedings of the 20th annual symposium on computer architecture (ISCA), pp 257-266 

   

4. 10.1109/ISCA.1998.694762 Evers M, Patel SJ, Chappell RS, Patt YN (1998) An analysis of correlation and predictability: what makes two-level branch predictor work. In: Proceedings of the 25th annual international symposium on computer architecture (ISCA), pp 52-61 

   

5. 10.1109/HPCA.2001.903263 Jimenez DA, Lin C (2001) Dynamic branch prediction with perceptrons. In: Proceedings of the 7th international symposium on high-performance computer architecture (HPCA) 

   

6. 10.1109/MICRO.2003.1253199 Jimenez DA (2003) Fast path-based neural branch prediction. In: Proceedings of the 36th annual IEEE/ACM international symposium on microarchitecture. IEEE Computer Society 

   

7. Scott McFarling (1993) Combining branch predictor. In: WRL technical note TN-36 

8. 10.1109/HPCA.2004.10002 Akkary H, Srinivasan ST, Koltur R, Patil Y, Refaai W (2004) Perceptron-based branch confidence estimation. In: Proceedings of the 10th international symposium on high performance computer architecture (HPCA), pp 265 

   

9. 10.1109/PACT.2002.1106015 Loh GH, Henry DS (2002) Predicting conditional branches with fusion-based hybrid predictors. In: Proceedings of the 2002 international conference on parallel architectures and compilation techniques (PACT), pp 165 

   

10. 10.1109/MM.2009.10 St. Amant R, Jim’enez DA, Burger D (2009) Mixed-signal approximate computation: a neural predictor case study. In: IEEE micro top picks from computer architecture conferences, pp 104-115 

    상세보기

11. 10.1145/1089008.1089011 Tarjan D, Skadron K (2005) Merging path and Gshare indexing in perceptron branch prediction. In: ACM transactions on architecture and code optimization (TACO), vol 2, no. 3 

    상세보기

12. 10.1007/11549468_56 Monchiero M, Palermo G (2005) The combined perceptron branch predictor. In: Proceedings of the 11th international Euro-Par conference on parallel processing, pp 487-496 

    상세보기

13. 10.1109/MICRO.2002.1176236 Brekelbaum E, Rupley J, Wilkerson C, Black B (2002) Hierarchical scheduling windows. In: Proceedings of the 35th annual ACM/IEEE international symposium on microarchitecture (MICRO), pp 27-36 

    

14. 10.1145/232973.232978 Sechrest S, Lee CC, Mudge T (1996) Correlation and aliasing in dynamic branch predictor. In: Proceedings of the 23rd annual international symposium on computer architecture (ISCA), pp 22-32 

    

15. Haykin S (1999) Neural networks: a comprehensive foundation, 2nd edn. Prentice Hall, Englewood Cliffs 

16. Fausett L (1994) Fundamentals of neural networks: architectures. algorithms and applications. Prentice Hall, Englewood Cliffs 

17. 10.1186/2192-1962-2-5 Silas S, Ezra K, Blessing Rajsingh E (2012) A novel fault tolerant service selection framework for pervasive computing. Hum Centric Comput Inf Sci (HCIS) 

    상세보기

18. Jeong HY (2012) The remote management of operational information for manufacture systems. J Converg (JoC) 3(2):45-50 

19. Kim YH, Chang HB (2012) IT convergence index and measurement design in the manufacturing industry. J Converg (JoC) 3(3):47-50 

20. Wang L, Zeng Q-X (2009) BBQ-a simple and effective approach to backward branch predictor for embedded processors. J Comput Taiwan 20(4) 

21. 10.3745/JIPS.2012.8.1.133 Liu C, Granados O, Duarte R, Andrian J (2012) Energy efficient architecture using hardware acceleration for software defined ratio components. J Inf Process Syst (JIPS) 8(1):133-144 

    원문보기 상세보기

22. 10.3745/JIPS.2013.9.1.041 Kwon DK et al (2013) A dynamic Zigbee protocol for reducing power consumption. J Inf Process Syst (JIPS) 8(1):41-52 

    원문보기 상세보기

23. Gao J, Xiao Y (2012) Design for accountability in multi-core networks. J Converg (JoC) 3(3):9-16 

24. 10.1186/2192-1962-2-13 Singh B, Lobiyal D (2012) A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor. Hum Centric Comput Inf Sci (HCIS) 2:13 

    상세보기

25. 10.1145/268806.268810 Burger D, Austin TM (1997) The simplescalar tool set, version 3.0. SIGARCH Comput Archit News 

    상세보기

26. SPEC Standard Performance Evaluation Corporation. http://www.spec.org . Accessed 30 July 2013 

27. 10.1186/2192-1962-2-8 Xie et al (2012) Metis: a profiling toolkit based on the virtualization of hardware performance counters. Hum Centric Comput Inf Sci (HCIS) 2:8 

    상세보기

28. 10.3745/JIPS.2012.8.2.331 Marowka A (2012) TBBench: a micro-benchmark suite for intel threading building blocks. J Inf Process Syst (JIPS) 8(2):331-346 

    원문보기 상세보기

29. Karna AK, Zou H (2010) Cross comparison on C compilers reliability impact. J Converg (JoC) 1(1):65-74 

30. Xiong L, Tan Q (2011) A configurable approach to toleration of soft errors via partial software protection. J Converg (JoC) 2(1):31-38 

31. 10.1109/2.869367 Henning JL (2000) SPEC CPU2000: measuring CPU performance in the New Millennium, Computer Practices. IEEE Comput Magaz 33(7):28-35 

    상세보기