CAJ | 학술논문

针对机载MIMO雷达杂波模型运算量大的问题，建立了基于CUDA的模型，利用图形处理器的并行运算能力来加速运算。为了符合CUDA的通用计算架构特性，该模型在算法上优先设计并行运算，在编程上尽量引入并行线程，实现图形处理器的浮点运算、存储器以及带宽资源的有效利用。最后测试了加速效果与模型结构、数据规模的关系。实验结果表明，与CPUInteli5750比较。图形处理器Grrx465的建模运算结果准确．效率提升教十倍．能麦特委大的运算号．
침대궤재MIMO뢰체잡파모형운산량대적문제，건립료기우CUDA적모형，이용도형처리기적병행운산능력래가속운산。위료부합CUDA적통용계산가구특성，해모형재산법상우선설계병행운산，재편정상진량인입병행선정，실현도형처리기적부점운산、존저기이급대관자원적유효이용。최후측시료가속효과여모형결구、수거규모적관계。실험결과표명，여CPUInteli5750비교。도형처리기Grrx465적건모운산결과준학．효솔제승교십배．능맥특위대적운산호．
Considering big operand problem of clutter model for airborne MIMO radar, a clutter based on Compute Unified Device Architecture （CUDA） is established and operation is speeded up by using parallel operational capa- bility of Graphic Processing Unit（GPU）. In order to accord with general computation architecture characteristic of CUPD, the new model prefers designing parallel computing in algorithm and introducing parallel threads in programming to implement effective usage of floating point operation, storage and wideband resources of GPU. And finally, relation between the speedup effect and model architecture and data size is tested. The tested results prove that modeling computation result of GPU based on GTX 465 is accurate in computing result, and efficiency is increased by tens of times and bigger operand can be supported comparing with CPUIntel i5 750.