1. Tullsen, D.M., et al.: Simultaneous Multithreading:Maximizing On-Chip Parallelism. In: Proc. 22nd ISCA (June 1995)

   Google Scholar 

2. Tullsen, D.M., et al.: Exploiting Choice:Instruction Fetch and Issure on an Implementable Simultaneous Multithreading Processor. In: Proc. 23rd ISCA (June 1996)

   Google Scholar 

3. Swanson, S., et al.: An evaluation of speculative instruction execution on simultaneous multithreaded processors. ACM Transactions on Computer Systems archive 21(3) (2003)

   Google Scholar 

4. Ramsay, M., et al.: Exploring Efficient SMT Branch Predictor DesignUniversity of Wisconsin-Madsin, Department of Electrical and Computer Engineering (2003)

   Google Scholar 

5. Yeh, T.-Y., et al.: Two Level Adaptive Training Branch Prediction. In: 24th ACM/IEEE International Symposium on Micro architecture. pp. 51–61 (1991)

   Google Scholar 

6. McFarling, S.: Combining Branch Predictors. Technical Report TN-36, Digital Western Research Laboratory (June 1993)

   Google Scholar 

7. Lee, C.-C., Chen, I.-C.K., Mudge, T.N.: The Bi-Mode Branch Predictor. In: Proc. MICRO30 (December 1997)

   Google Scholar 

8. Sprangle, E., et al.: The Agree Predictor: A Mechanism for Reducing Negative Branch History Interference. In: Proc. 24th ISCA (May 1997)

   Google Scholar 

9. Michaud, P., et al.: Trading Conflict and Capacity Aliasing in Conditional Branch Predictors. In: Proc. 24th ISCA (May 1997)

   Google Scholar 

10. Chang, P.Y., et al.: Improving Branch Prediction Accuracy by Reducing Pattern History Table Interference. In: Proc. ICPACT (October 1996)

    Google Scholar 

11. Eden, A.N., et al.: The YAGS Branch Prediction Scheme. In: Proc. 31st MICRO (December 1998)

    Google Scholar 

12. Heil, T.H., et al.: Improving Branch Predictors by Correlating on Data Values. In: Proc. 25th ISCA (June 1998)

    Google Scholar 

13. Tuck, N.,et al.: Multithreaded Value Prediction. In: Proc. of the 11th ISHPC (February 2005)

    Google Scholar 

14. Calder, B., et al.: Selective Value Prediction. In: Proc. of the 26th ISCA (May 1999)

    Google Scholar 

15. Lipasti, M.H., et al.: Value locality and data speculation. In: Proc. 7th International Conference on Architectural Support for Programming Languages and Operating Systems, October 1996, pp. 138–147 (1996)

    Google Scholar 

16. Sazeides, Y., et al.: The predictability of data values. In: Proc. 30th MICRO (1997)

    Google Scholar 

17. Vintan, L., et al.: An alternative to branch prediction: pre-computed branches. ACM SIGARCH Computer Architecture News archive 31, 20–29 (2003)

    Article  Google Scholar 

18. Chappell, R., et al.: Difficult-path branch prediction using subordinate micro-threads. In: Proc. 29th ISCA (2003)

    Google Scholar 

19. Zilles, C., et al.: Execution-based prediction using speculative slices. In: Proc. 28th ISCA (2001)

    Google Scholar 

20. Vintan, L., et al.: Towards a High Performance Neural Branch Predictor. In: Proc. IJCNN 1999, Washington DC, USA (1999)

    Google Scholar 

21. Thomas, R., et al.: Improving branch prediction by dynamic dataflow-based identification of correlated branches from a large global history. In: Proc. ICCA (2003)

    Google Scholar 

22. Swanson, S., et al.: An evaluation of speculative instruction execution on simultaneous multithreaded processors. ACM Transactions on Computer Systems 21 (2003)

    Google Scholar 

23. Tarjan, D., et al.: Merging path and g-share indexing in perceptron branch prediction. ACM Transactions on Computer Systems, 2 (September 2005)

    Google Scholar 

24. Austin, T., et al.: SimpleScalar: An infrastructure for computer system modeling. IEEE Computer 35(2), 59–67 (2002)

    Google Scholar 

25. He, L., et al.: A new value based branch predictor for SMT processors. In: Proc. 16th IASTED International Conference on Parallel and Distributed Computing and Systems (2004)

    Google Scholar 

Download references