基于sram的FPGA互连测试中单个故障的自动诊断

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IET Computers and Digital Techniques Pub Date : 2021-04-04 DOI:10.1049/cdt2.12028
T. Nirmalraj, S. Radhakrishnan, S.K. Pandiyan
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引用次数: 1

摘要

现场可编程门阵列(FPGA)在短时间内的故障检测和诊断对于减少在FPGA上运行的关键应用的死区时间至关重要。因此,本文提出了一种新的技术,能够唯一地识别任何单个卡在故障的位置和故障的类型。此外,该方法还能对任意单对桥接故障进行定位,并区分两种常见故障。与以前的方法相比,所提出的技术使用Walsh代码方法显著减少了测试配置的数量。在不同FPGA系列中实现的一系列ISCAS ' 89基准电路上对所提出的方法进行了广泛的测试。从仿真结果来看,互连故障检测和诊断所需的最大配置数为log 2 (n (n))−1)2)+ 3 (n为待测网数)值得注意的是,与文献中先前发表的方法相比,所提出的方法能够将测试配置的总数减少log 2 (n + 2)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Automatic diagnosis of single fault in interconnect testing of SRAM-based FPGA

Fault detection and diagnosis of a Field-Programmable Gate Array (FPGA) in a short period is vital particularly in reducing the dead time of critical applications that are running on FPGAs. Thus, this paper proposes a new technique that is able to uniquely identify any single stuck-at fault's location along with the type of fault. Also, the presented technique is able to locate any single pair-wise bridging fault and distinguish between the two types of common faults. The presented technique uses the Walsh Code method to significantly reduce the number of test configurations when compared with previous methods. Extensive testing of the proposed method is carried out on a series of ISCAS’89 benchmark circuits being implemented in different FPGA families. From the simulation results, the maximum number of configurations needed for interconnect fault detection and diagnosis is log 2 ( n ( n 1 ) 2 ) + 3 where n is the number of nets under test. It is noted that the proposed method is able to reduce the total number of test configurations by log 2 ( n + 2 ) when compared with previously published methods available in the literature.

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来源期刊
IET Computers and Digital Techniques
IET Computers and Digital Techniques 工程技术-计算机:理论方法
CiteScore
3.50
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: IET Computers & Digital Techniques publishes technical papers describing recent research and development work in all aspects of digital system-on-chip design and test of electronic and embedded systems, including the development of design automation tools (methodologies, algorithms and architectures). Papers based on the problems associated with the scaling down of CMOS technology are particularly welcome. It is aimed at researchers, engineers and educators in the fields of computer and digital systems design and test. The key subject areas of interest are: Design Methods and Tools: CAD/EDA tools, hardware description languages, high-level and architectural synthesis, hardware/software co-design, platform-based design, 3D stacking and circuit design, system on-chip architectures and IP cores, embedded systems, logic synthesis, low-power design and power optimisation. Simulation, Test and Validation: electrical and timing simulation, simulation based verification, hardware/software co-simulation and validation, mixed-domain technology modelling and simulation, post-silicon validation, power analysis and estimation, interconnect modelling and signal integrity analysis, hardware trust and security, design-for-testability, embedded core testing, system-on-chip testing, on-line testing, automatic test generation and delay testing, low-power testing, reliability, fault modelling and fault tolerance. Processor and System Architectures: many-core systems, general-purpose and application specific processors, computational arithmetic for DSP applications, arithmetic and logic units, cache memories, memory management, co-processors and accelerators, systems and networks on chip, embedded cores, platforms, multiprocessors, distributed systems, communication protocols and low-power issues. Configurable Computing: embedded cores, FPGAs, rapid prototyping, adaptive computing, evolvable and statically and dynamically reconfigurable and reprogrammable systems, reconfigurable hardware. Design for variability, power and aging: design methods for variability, power and aging aware design, memories, FPGAs, IP components, 3D stacking, energy harvesting. Case Studies: emerging applications, applications in industrial designs, and design frameworks.
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