Main goal of the paper is introducing a dynamic branch prediction scheme suitable for energy-aware VLIW (Very Long Instruction Word) processors. The proposed technique is based on a compiler hint mechanism to filter the accesses to the branch predictor blocks. Experimental results have been carried out on Lx/ST200, an industrial 4-issue VLIW architecture. We gathered two sets of results: First, by introducing the proposed low-power branch prediction technique in the Lx processor, which features fully static branch prediction, a significant improvement of the energy-delay metric has been observed. Second, we evaluated filtering efficacy of the proposed method and we found that it gets an access reduction to the branch prediction unit of 93% with respect to a processor directly derived from Lx, featuring cycle-by-cycle prediction, corresponding to an average 9% energy reduction of the whole processor power budget.

Power-Aware Branch Prediction Techniques: A Compiler-Hints Based Approach for VLIW Processors

PALERMO, GIANLUCA;SAMI, MARIAGIOVANNA;SILVANO, CRISTINA;ZACCARIA, VITTORIO;
2004-01-01

Abstract

Main goal of the paper is introducing a dynamic branch prediction scheme suitable for energy-aware VLIW (Very Long Instruction Word) processors. The proposed technique is based on a compiler hint mechanism to filter the accesses to the branch predictor blocks. Experimental results have been carried out on Lx/ST200, an industrial 4-issue VLIW architecture. We gathered two sets of results: First, by introducing the proposed low-power branch prediction technique in the Lx processor, which features fully static branch prediction, a significant improvement of the energy-delay metric has been observed. Second, we evaluated filtering efficacy of the proposed method and we found that it gets an access reduction to the branch prediction unit of 93% with respect to a processor directly derived from Lx, featuring cycle-by-cycle prediction, corresponding to an average 9% energy reduction of the whole processor power budget.
2004
Proceedings of GLSVLSI 2004: Great Lakes Symposium on VLSI
1581138539
9781581138535
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/271816
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