CAJ | 학술논문

下一代观测望远镜将会产生数以亿计的星系测量数据值，这将导致使用中央处理器处理数据时效率低下、成本较高。为了解决这一问题，提出了基于宇宙计算的图形处理器算法。研究了两点式角相关函数以及孔径质量统计这两种宇宙学的计算方法，构建算法代码，并使用统一计算设备架构在图形处理器上实现了这两种算法；比较了算法在中央处理器和图形处理器上使用的运行速度。实验结果表明，与中央处理器相比，使用图形处理器的计算速度得到了显著提高。
하일대관측망원경장회산생수이억계적성계측량수거치，저장도치사용중앙처리기처리수거시효솔저하、성본교고。위료해결저일문제，제출료기우우주계산적도형처리기산법。연구료량점식각상관함수이급공경질량통계저량충우주학적계산방법，구건산법대마，병사용통일계산설비가구재도형처리기상실현료저량충산법；비교료산법재중앙처리기화도형처리기상사용적운행속도。실험결과표명，여중앙처리기상비，사용도형처리기적계산속도득도료현저제고。
The next generation of survey telescopes would yield measurements of billions of galaxies,which would cause ineffi-cient,high cost when using CPU.To address this problem,this paper proposed using the graphics processing units (GPUs)in processing the universe computing problems.Firstly,it studied two cosmological calculations,the two-point angular correlation function and the aperture mass statistic.Then,it implemented the two algorithms on the GPU by constructing code,and using CUDA.Finally,it compared the calculation speeds with comparable code run on the CPU.Experimental results indicate that the calculation speeds,using GPUs,has been significantly improved comparing with using CPUs.