基于GPU通用计算的并行算法和计算框架的实现  

Parallel Algorithm Based on General Purpose Computing on GPU and the Implementation of Calculation Framework

作　　者：朱宇兰 

机构地区：[1]泉州医学高等专科学校,福建泉州362000

出　　处：《山东农业大学学报（自然科学版）》2016年第3期473-476,480,共5页Journal of Shandong Agricultural University：Natural Science Edition

摘　　要：GPU通用计算是近几年来迅速发展的一个计算领域,以其强大的并行处理能力为密集数据单指令型计算提供了一个绝佳的解决方案,但受限制于芯片的制造工艺,其运算能力遭遇瓶颈。本文从GPU通用计算的基础——图形API开始,分析GPU并行算法特征、运算的过程及特点,并抽象出了一套并行计算框架。通过计算密集行案例,演示了框架的使用方法,并与传统GPU通用计算的实现方法比较,证明了本框架具有代码精简、与图形学无关的特点。GPGPU（General Purpose Computing on Graphics Processing Unit） is a calculation mothed that develops quiet fast in recent years, it provide an optimal solution for the intensive data calculation of a single instruction with a powerful treatment, however it is restricted in CPU making process to lead to entounter the bottleneck of hardware manufacture. This paper started from GPGPU by Graphics API to analyze the featuers, progress and characteristics of GPU parallel algorithm and obtained a set of computing framework to demonstrate it by an intensive line calculation and compared between the traditional GPU and the parallel computing framework to turn out to show that there was a simplified code and had nothing to do with graphics.

关 键 词：GPU通用计算 并行计算 计算框架 

分 类 号：TN202[电子电信—物理电子学]