CAJ | 학술논문

随着半导体工艺的发展,GPU的浮点计算能力迅速提高.如何把GPU处理技术应用到非图形计算领域成为体系结构以及高性能计算领域的热点研究问题.Jacobi和Laplace是科学计算领域常用的计算核心.本文基于AMD的流处理GPU平台设计并实现了这两个算法,相对于CPU平台取得了很好的加速效果.
수착반도체공예적발전,GPU적부점계산능력신속제고.여하파GPU처리기술응용도비도형계산영역성위체계결구이급고성능계산영역적열점연구문제.Jacobi화Laplace시과학계산영역상용적계산핵심.본문기우AMD적류처리GPU평태설계병실현료저량개산법,상대우CPU평태취득료흔호적가속효과.
With the development of the semiconductor technology, the GPU's floating-point computing capacity improves rapidly. How to apply the GPU technology to the non-graphic computing field becomes a highlight in the research of architecture and high performance computing. Jacobi and Laplace algorithms are typical application kernels in scientific computing. This paper implements these two algorithms on AMD's stream processing GPU platform and gets a good speedup compared to the CPU platform.