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Exploring GPGPU Acceleration of Process-Oriented Simulations

机译:探索面向过程的仿真的GPGPU加速

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This paper reports on our experiences of using commodity GPUs to speedup the execution of fine-grained concurrent simulations. Starting with an existing process-oriented 'boids' simulation, we explore a variety of techniques aimed at improving performance, gradually re factoring the original code. Successive improvements lead to a 10-fold improvement in performance, which we believe can still be improved upon, allowing us to explore simulations with larger numbers of agents (30,000 rather than 2,000) interactively and without significant performance degradation.
机译:本文报告了我们使用商用GPU加速细粒度并发仿真执行的经验。从现有的面向过程的“ boids”仿真开始,我们探索了各种旨在提高性能的技术,并逐渐对原始代码进行了重构。连续的改进导致性能提高了10倍,我们认为仍然可以改进,这使我们能够交互地探索具有更多代理(30,000而不是2,000)的模拟,而不会出现性能显着下降的情况。

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