E-QED: Electrical Bug Localization During Post-Silicon Validation Enabled by Quick Error Detection and Formal Methods

During post-silicon validation, manufactured integrated circuits are extensively tested in actual system environments to detect design bugs. Bug localization involves identification of a bug trace (a sequence of inputs that activates and detects the bug) and a hardware design block where the bug is located. Existing bug localization practices during post-silicon validation are mostly manual and ad hoc, and, hence, extremely expensive and time consuming. This is particularly true for subtle electrical bugs caused by unexpected interactions between a design and its electrical state. We present E-QED, a new approach that automatically localizes electrical bugs during post-silicon validation. Our results on the OpenSPARC T2, an open-source 500-million-transistor multicore chip design, demonstrate the effectiveness and practicality of E-QED: starting with a failed post-silicon test, in a few hours (9 hours on average) we can automatically narrow the location of the bug to (the fan-in logic cone of) a handful of candidate flip-flops (18 flip-flops on average for a design with ~ 1 Million flip-flops) and also obtain the corresponding bug trace. The area impact of E-QED is ~2.5%. In contrast, deter-mining this same information might take weeks (or even months) of mostly manual work using traditional approaches

Multi-Cycle Test with Partial Observation on Scan-Based BIST Structure

Field test for reliability is usually performed with small amount of memory resource, and it requires a new technique which might be somewhat different from the conventional manufacturing tests. This paper proposes a novel technique that improves fault coverage or reduces the number of test vectors that is needed for achieving the given fault coverage on scan-based BIST structure. We evaluate a multi-cycle test method that observes the values of partial flip-flops on a chip during capture-mode. The experimental result shows that the partial observation achieves fault coverage improvement with small hardware overhead than the full observation.2011 Asian Test Symposium (ATS), 20-23 Nov. 2011, New Delhi, Indi

CA-BIST for asynchronous circuits: a case study on the RAPPID asynchronous instruction length decoder

Journal ArticleThis paper presents a case study in low-cost noninvasive Built-In Self Test (BIST) for RAPPID, a largescale 120,000-transistor asynchronous version of the Pentium® Pro Instruction Length Decoder, which runs at 3.6 GHz. RAPPID uses a synchronous 0.25 micron CMOS library for static and domino logic, and has no Design-for-Test hooks other than some debug features. We explore the use of Cellular Automata (CA) for on-chip test pattern generation and response evaluation. More specifically, we look for fast ways to tune the CA-BIST to the RAPPID design, rather than using pseudo-random testing. The metric for tuning the CA-BIST pattern generation is based on an abstract hardware description model of the instruction length decoder, which is independent of implementation details, and hence also independent of the asynchronous circuit style. Our CA-BI ST solution uses a novel bootstrap procedure for generating the test patterns, which give complete coverage for this metric, and cover 94% of the testable stuck-at faults for the actual design at switch level. Analysis of the undetected and untestable faults shows that the same fault effects can be expected for a similar clocked circuit. This is encouraging evidence that testability is no excuse to avoid asynchronous design techniques in addition to high-performance synchronous solutions

Built-In Self-Test Quality Assessment Using Hardware Fault Emulation in FPGAs

This paper addresses the problem of test quality assessment, namely of BIST solutions, implemented in FPGA and/or in ASIC, through Hardware Fault Emulation (HFE). A novel HFE methodology and tool is proposed, that, using partial reconfiguration, efficiently measures the quality of the BIST solution. The proposed HFE methodology uses Look-Up Tables (LUTs) fault models and is performed using local partial reconfiguration for fault injection on Xilinx(TM) Virtex and/or Spartan FPGA components, with small binary files. For ASIC cores, HFE is used to validate test vector selection to achieve high fault coverage on the physical structure. The methodology is fully automated. Results on ISCAS benchmarks and on an ARM core show that HFE can be orders of magnitude faster than software fault simulation or fully reconfigurable hardware fault emulation

CA-BIST for asynchronous circuits: a case study on the RAPPID asynchronous instruction length decoder

Journal ArticleThis paper presents a case study in low-cost noninvasive Built-In Self Test (BIST) for RAPPID, a largescale 120,000-transistor asynchronous version of the Pentium® Pro Instruction Length Decoder, which runs at 3.6 GHz. RAPPID uses a synchronous 0.25 micron CMOS library for static and domino logic, and has no Design-for-Test hooks other than some debug features. We explore the use of Cellular Automata (CA) for on-chip test pattern generation and response evaluation. More specifically, we look for fast ways to tune the CA-BIST to the RAPPID design, rather than using pseudo-random testing. The metric for tuning the CA-BIST pattern generation is based on an abstract hardware description model of the instruction length decoder, which is independent of implementation details, and hence also independent of the asynchronous circuit style. Our CA-BI ST solution uses a novel bootstrap procedure for generating the test patterns, which give complete coverage for this metric, and cover 94% of the testable stuck-at faults for the actual design at switch level. Analysis of the undetected and untestable faults shows that the same fault effects can be expected for a similar clocked circuit. This is encouraging evidence that testability is no excuse to avoid asynchronous design techniques in addition to high-performance synchronous solutions

Compact Field Programmable Gate Array Based Physical Unclonable Functions Circuits

The Physical Unclonable Functions (PUFs) is a candidate to provide a secure solid root source for identification and authentication applications. It is precious for FPGA-based systems, as FPGA designs are vulnerable to IP thefts and cloning. Ideally, the PUFs should have strong random variations from one chip to another, and thus each PUF is unique and hard to replicate. Also, the PUFs should be stable over time so that the same challenge bits always yield the same result. Correspondingly, one of the major challenges for FPGA-based PUFs is the difficulty of avoiding systematic bias in the integrated circuits but also pulling out consistent characteristics as the PUF at the same time. This thesis discusses several compact PUF structures relying on programmable delay lines (PDLs) and our novel intertwined programmable delays (IPD). We explore the strategy to extract the genuinely random PUF from these structures by minimizing the systematic biases. Yet, our methods still maintain very high reliability. Furthermore, our proposed designs, especially the TERO-based PUFs, show promising resilience to machine learning (ML) attacks. We also suggest the bit-bias metric to estimate PUF’s complexity quickly

Built-In Self-Test (BIST) for Multi-Threshold NULL Convention Logic (MTNCL) Circuits

This dissertation proposes a Built-In Self-Test (BIST) hardware implementation for Multi-Threshold NULL Convention Logic (MTNCL) circuits. Two different methods are proposed: an area-optimized topology that requires minimal area overhead, and a test-performance-optimized topology that utilizes parallelism and internal hardware to reduce the overall test time through additional controllability points. Furthermore, an automated software flow is proposed to insert, simulate, and analyze an input MTNCL netlist to obtain a desired fault coverage, if possible, through iterative digital and fault simulations. The proposed automated flow is capable of producing both area-optimized and test-performance-optimized BIST circuits and scripts for digital and fault simulation using commercial software that may be utilized to manually verify or adjust further, if desired

Applications of optical processing for improving ERTS data, volume 1

Application of optically diagnosed noise information toward development of filtering subroutines for improvement of digital sensing data tape quality - Vol.