一种基于OPENACC指令加速的均值模糊算法

A Box Blur Algorithm Based Acceleration OPENACC Instruction

目前,计算机系统普遍使用GPGPU设备加速计算,但使用底层API进行加速计算繁琐而又缺乏效率,运用基于指令的高级抽象编程可以解决这个问题。运用均值模糊算法体验OPENACC的用法,OPENACC通过指令把C或C++中的计算紧密代码转移到GUP中。比较了分别使用CPU、OPENACC、CUDA实现均值模湖算法的性能表现,虽然CUDA有不错的性能,但相对于低下的开发效率和陡峭的学习曲线而言,OPENACC只用十几行代码就可以取得可观的加速比,而且随着编译器和硬件技术的发展,指令制导编译有越来越大的发展空间。

Computer systems become increasingly widespread use of GPGPU devices to speed up the calculation, but, using the low-level API for accelerated calculation is cumbersome and inefficient To solve this problem,Based on the instruction of the higher level of abstraction for programming to solve this problem,in this article,Gaussian blur algorithm experience OPENACC just usage OPENACC through instruction in C or C ＋ ＋ in the calculation close code transfer to GUP in con- duct,we compare the respectively use the CPU, OPENACC, CLIDA achieve Gaussian mode Lake algorithm performance performance. Although CUDA have a good performance, but relative to the low efficiency of the development and the steep learning curve,OPENACC used only a dozen lines of code can achieve significant speedup,and with the development of the compiler and hardware technology,the command guidance compile getting more the larger development space.