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. © 2010 Springer-Verlag.
CITATION STYLE
He, L., & Zhang, G. (2010). Parallel branch prediction on GPU platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5938 LNCS, pp. 153–160). https://doi.org/10.1007/978-3-642-11842-5_20
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