@Article{IJNAM-9-2,
author = {},
title = {GPU Accelerated Parallel Branch Prediction for Multi/Many-Core Processor Simulation},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2012},
volume = {9},
number = {2},
pages = {193--207},
abstract = {<p style="text-align: justify;">Branch Prediction is a common function in nowadays microprocessors. Branch predictor
is duplicated in each core of a multi/many-core processor and makes prediction for multiple
concurrent running programs respectively. To evaluate the parallel branch prediction in a
multi/many-core processor, existing schemes generally use a parallel simulator running on a CPU
that does not have a real massive parallel running environment to support the simulation and
thus has a bad simulating performance. In this paper, we use a real many-core platform, GPU, to
perform a parallel simulation of branch prediction for the future general purpose multi/many-core
processor design. We verify the correctness of the GPU based parallel branch predictor against the
traditional CPU based branch predictor. Experiment result shows that the GPU based parallel
simulation scheme obtains a two to ten times of speedup over the CPU platform when the issue
rate ranging from one to four instructions per cycle, and it shows that the GPU based scheme is
a promising way to improve the simulation speed for future multi/many-core processor research.</p>},
issn = {2617-8710},
doi = {https://doi.org/2012-IJNAM-620},
url = {https://global-sci.com/article/83461/gpu-accelerated-parallel-branch-prediction-for-multimany-core-processor-simulation}
}