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Exploring GPGPU Acceleration of Process-Oriented Simulations

机译:探索GPGPU加速过程导向模拟

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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品GPU来加速微粒并发模拟的经验。从现有的以现有的过程为导向的“央行”模拟,我们探讨了各种旨在提高性能的技术,逐步重新修复原始代码。连续的改进导致性能提高10倍,我们相信仍然可以改善,允许我们以交互式,并且没有显着的性能下降,探讨具有更多代理的模拟(30,000,而不是2,000)。

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