Parallel Branch Prediction on GPU Platform
Branch Prediction is a common function in nowadays microprocessor. Branch predictor is duplicated into multiple copies in each core of a multicore and manycore 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.
Liqiang He Guangyong Zhang
College of Computer Science, Inner Mongolia University Hohhot,Inner Mongolia 010021 P.R. China College of Computer Science, Inner Mongolia University Hohhot, Inner Mongolia 010021 P.R. China
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
153-160
2009-08-10（万方平台首次上网日期，不代表论文的发表时间）