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Parallel Branch Prediction on GPU Platform

Liqiang He, Guangyong Zhang
College of Computer Science, Inner Mongolia University, Hohhot, Inner Mongolia 010021 P.R. China
High Performance Computing and Applications, Lecture Notes in Computer Science, 2010, Volume 5938/2010, 153-160

@article{he2010parallel,

   title={Parallel Branch Prediction on GPU Platform},

   author={He, L. and Zhang, G.},

   journal={High Performance Computing and Applications},

   pages={153–160},

   year={2010},

   publisher={Springer}

}

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Branch Prediction is a common function in nowadays microprocessor. Branch predictor is duplicated into multiple copies in each core of a multicore and many-core processor and makes prediction for multiple concurrent running programs respectively. To evaluate the parallel branch prediction in many-core processor, existed schemes generally use a parallel simulator running in CPU which does not have a real passive parallel running environment to support a many-core simulation and thus has bad simulating performance. In this paper, we firstly try to use a real many-core platform, GPU, to do a parallel branch prediction for future general purpose many-core processor. We verify the new GPU based parallel branch predictor against the traditional CPU based branch predictor. Experiment result shows that GPU based parallel simulation scheme is a promising way to faster simulating speed for future many-core processor research.
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