GPGPU-Based ATPG System: Myth or Reality?

doi:10.1109/TCAD.2018.2884992

	GPGPU-Based ATPG System: Myth or Reality?
	Lai, Liyang 1,2; Tsai, Hans 3; Li, Huawei 4,5
	2020
发表期刊	IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
ISSN	0278-0070
卷号	39 期号:1 页码:239-247
摘要	General-purpose computing on graphics processing units (GPGPUs) is a programming model that uses graphics cards to perform computations traditionally done by CPU. It began to become practical with the advent of programmable shaders and floating-point support on GPU in around 2001. The spread of GPGPU has been accelerated with introduction of CUDA from NVIDIA in 2006 and later OpenCL in 2009. Nowadays GPGPU is widely deployed in various applications, such as data mining, artificial intelligence, and many scientific computations. GPGPU seemingly promises immense parallelism with massive concurrent cores, and thus much shorter run times. This is true for algorithms that bear intrinsic data and task parallelism, such as image and video processing. For an ATPG system where some algorithms are sequential in nature, the speedup is not easy to achieve in the real world. Flaws in setting up speedup evaluation can lead to false promises. Will GPGPU-based ATPG system become a reality? Or it is just a myth. In this paper, we try to provide an answer by surveying state-of-the-art works and by analyzing practical aspects of today's industrial designs.
关键词	ATPG fault simulation general-purpose computing on graphics processing units (GPGPUs)
DOI	10.1109/TCAD.2018.2884992
收录类别	SCI
语种	英语
资助项目	Startup Fund at Shantou University[140-760163] ; Yangfang Career Award of Guangdong Province, China[140-14600602]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic
WOS记录号	WOS:000505521000020
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14977
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Lai, Liyang
作者单位	1.Shantou Univ, Dept Elect Engn, Shantou 515063, Guangdong, Peoples R China 2.Shantou Univ, Guangdong Prov Key Lab Digital Signal & Image Pro, Shantou 515063, Guangdong, Peoples R China 3.Mentor Graph Corp, Silicon Test Div, Wilsonville, OR 97070 USA 4.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Lai, Liyang,Tsai, Hans,Li, Huawei. GPGPU-Based ATPG System: Myth or Reality?[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2020,39(1):239-247.
APA	Lai, Liyang,Tsai, Hans,&Li, Huawei.(2020).GPGPU-Based ATPG System: Myth or Reality?.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,39(1),239-247.
MLA	Lai, Liyang,et al."GPGPU-Based ATPG System: Myth or Reality?".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 39.1(2020):239-247.