CPU-GPGPU异构体系结构相关技术综述

随着GPU的发展,其计算能力和访存带宽都超过了CPU,在GPU上进行通用计算也变得越来越流行,这样就构成了CPU-GPGPU的新型异构体系结构。虽然这种新型体系结构表现出了强大的性能优势并受到了学术界和产业界的广泛关注,但如何更好地在这种结构上高效地编写和运行程序仍然存在很大的挑战。本文综述了针对这一体系结构现有的可编程性技术、可靠性技术和低功耗技术,并结合这些技术展望了CPU-GPGPU这种异构系统的发展趋势。

A Survey of Techniques of CPU-GPGPU Heterogeneous Architecture

GPU has better performance than CPU in both computing ability and memory bandwidth with the fast development of GPU technology. Therefore general computing on GPU has become increasingly popular, bringing forth an emerging CPU-GPGPU heterogeneous architecture. Although the new architecture demonstrates high performance and are currently being the highlight in academe and industry, how to write and execute programs on it efficiently still remains a big challenge. This paper summarizes the techniques of programmability, reliability and low power for GPU, and discusses the development trend of the CPU-GPGPU heterogeneous architecture.