Customizing the Branch Predictor to Reduce Complexity and Energy Consumption

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September/October 2003 (vol. 23 no. 5)

pp. 12-25

	ASCII Text	x
	Michael C. Huang, Daniel Chaver, Luis Pi?uel, Manuel Prieto, Francisco Tirado, "Customizing the Branch Predictor to Reduce Complexity and Energy Consumption," IEEE Micro, vol. 23, no. 5, pp. 12-25, September/October, 2003.

	BibTex	x
	@article{ 10.1109/MM.2003.1240209, author = {Michael C. Huang and Daniel Chaver and Luis Pi?uel and Manuel Prieto and Francisco Tirado}, title = {Customizing the Branch Predictor to Reduce Complexity and Energy Consumption}, journal ={IEEE Micro}, volume = {23}, number = {5}, issn = {0272-1732}, year = {2003}, pages = {12-25}, doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2003.1240209}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Micro TI - Customizing the Branch Predictor to Reduce Complexity and Energy Consumption IS - 5 SN - 0272-1732 SP12 EP25 EPD - 12-25 A1 - Michael C. Huang, A1 - Daniel Chaver, A1 - Luis Pi?uel, A1 - Manuel Prieto, A1 - Francisco Tirado, PY - 2003 VL - 23 JA - IEEE Micro ER -

Michael C. Huang, University of Rochester

Daniel Chaver, Universidad Complutense de Madrid

Luis Pi?uel, Universidad Complutense de Madrid

Manuel Prieto, Universidad Complutense de Madrid

Francisco Tirado, Universidad Complutense de Madrid

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MM.2003.1240209

To exploit instruction-level parallelism, high-end processors use branch predictors consisting of many large, often underutilized structures that cause unnecessary energy waste and high power consumption. By adapting the branch target buffer's size and dynamically disabling a hybrid predictor's components, the authors create a customized branch predictor that saves a significant amount of energy with little performance degradation.

Citation:

Michael C. Huang, Daniel Chaver, Luis Pi?uel, Manuel Prieto, Francisco Tirado, "Customizing the Branch Predictor to Reduce Complexity and Energy Consumption," IEEE Micro, vol. 23, no. 5, pp. 12-25, Sep./Oct. 2003, doi:10.1109/MM.2003.1240209

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