在CMAQ化学运输模型中,GPU实现了气相化学溶解器
Duncan Quevedo1, Khanh Do2,3, George Delic4
1Department of Civil and Environmental Engineering, University of California, Berkeley, California 94720, United States.
概括
图形处理单元 (GPU) 加速显著加快空气质量建模. 该CMAQ-CUDA实现减少了气相化学模拟的计算时间,使大气建模更高效.
科学领域:
- 大气化学和物理大气化学和物理
- 计算科学与工程 计算科学与工程
- 环境建模环境建模
背景情况:
- 社区多尺度空气质量 (CMAQ) 模型对于模拟大气现象至关重要.
- 由于复杂的微分方程,CMAQ中的气相化学存在重大计算挑战.
- 现有的计算方法限制了详细的大气模拟的速度.
研究的目的:
- 在CMAQ模型中加速气相化学的数值集成.
- 为CMAQ的CHEM模块实现一个图形处理单元 (GPU) 加速的解决方案.
- 在空气质量模拟中评估GPU加速的性能增长.
主要方法:
- 迁移CMAQ的罗森布鲁克解决程序从Fortran到CUDA Fortran,以便使用GPU.
- 开发了CMAQ-CUDA,利用计算统一设备架构 (CUDA).
- 使用标准化学机制 (RACM2,CB6R5,SAPRC07) 测试CMAQ-CUDA的实施方法.
主要成果:
- 在CMAQ-CUDA中,化学时间步骤得到了显著的加快.
- 使用RACM2,CB6R5和SAPRC07的模拟只需要51%,50%和35%的原始模拟时间.
- 这项研究证实了CMAQ适用于GPU加速的适用性.
结论:
- GPU加速为CMAQ的气相化学中的计算瓶提供了一个可行的解决方案.
- 在CMAQ-CUDA中实现的新型罗森布洛克解答器有效降低了计算负担.
- 这一进步提高了大气模拟和空气质量建模的效率.
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