利用CUDA、OpenACC和openenhmpp加速背景辐射对复杂目标散射的计算

Xing Guo, Zhensen Wu, Jiaji Wu
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引用次数: 1

摘要

利用图形处理器(GPU)加速红外光谱背景辐射对复杂目标散射的计算。提出了计算统一设备架构(CUDA)、OpenACC和混合多核并行编程(OpenHMPP)实现。在我们所有的实现中,背景辐射在不同方向上的散射是并行计算的。在我们的实验中,使用了一个带有2 NVIDIA GTX GeForce 590和Intel i7 CPU的个人桌面。在CUDA中,通过使用共享内存缓冲背景辐射和BRDF参数并调整网格组织,我们实现了197x的加速。OpenACC的实现是通过在原串行代码的循环前插入带缩减子句的并行循环结构来实现的。通过对数据子句的利用和对帮派数量的调优,获得了158.9倍的提速。在OpenHMPP实现中,将原代码事件方向上的循环迭代转换为codelet函数,实现了160.7x的加速。我们的努力使复杂目标的实时计算成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerating the Calculation of Scattering of Complex Targets from Background Radiation with CUDA, OpenACC and OpenHMPP
Graphics Processing Unit (GPU) is used to accelerate the calculation of scattering of complex target from background radiation in infrared spectrum. Compute Unified Device Architecture (CUDA), OpenACC, and Hybrid Multicore Parallel Programming (OpenHMPP) implementations are presented. In all our implementation, scattering of background radiation in different directions are calculated in parallel. A personal desktop with 2 NVIDIA GTX GeForce 590 with an Intel i7 CPU is used in our experiment. In CUDA, by using shared memory to buffer the background radiation and BRDF parameters and tuning the grid organization, we achieve a speedup of 197x. OpenACC implementation is realized by inserting the parallel loop construct with reduction clause before the loop in original serial code. By utilization of data clause and tuning number of gangs used, a speedup of 158.9x is obtained. In OpenHMPP implementation, the loop iterating over incident direction of original code is transformed to the codelet function and we achieve a speedup of 160.7x. Our effort makes the calculation of complex target in real time possible.
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