2022 IEEE European Test Symposium (ETS)最新文献

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Special Session on RF/5G Test RF/5G测试特别会议
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810461
W. Eisenstadt, M. Roos, Devin Morris, J. González-Jiménez, Christopery Mounet, M. Barragán, G. Léger, F. Cilici, E. Lauga-Larroze, S. Mir, S. Bourdel, M. Margalef-Rovira, I. Alaji, H. Ghanem, G. Ducournau, C. Gaquière
{"title":"Special Session on RF/5G Test","authors":"W. Eisenstadt, M. Roos, Devin Morris, J. González-Jiménez, Christopery Mounet, M. Barragán, G. Léger, F. Cilici, E. Lauga-Larroze, S. Mir, S. Bourdel, M. Margalef-Rovira, I. Alaji, H. Ghanem, G. Ducournau, C. Gaquière","doi":"10.1109/ETS54262.2022.9810461","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810461","url":null,"abstract":"This paper presents an innovative integrated load-pull bench at 160 GHz. The proposed system, which is designed in a 55-nm BiCMOS technology, is tailored to deal with all of the measurement functions including signal generation, shaping, and magnitude and phase measurement. This system will allow precise characterization of Devices-Under-Test (DUTs) (i.e., circuits and/or devices) when integrated together with the DUT. In addition, the proposed system could also be envisioned as a System-on-Chip (SoC) that, when reported into an RF probe, could serve as a test bench for any integrated circuit.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133039378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Smart Redundancy Schemes for ANNs Against Fault Attacks 针对故障攻击的人工神经网络智能冗余方案
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810380
Troya Çağıl Köylü, S. Hamdioui, M. Taouil
{"title":"Smart Redundancy Schemes for ANNs Against Fault Attacks","authors":"Troya Çağıl Köylü, S. Hamdioui, M. Taouil","doi":"10.1109/ETS54262.2022.9810380","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810380","url":null,"abstract":"Artificial neural networks (ANNs) are used to accomplish a variety of tasks, including safety critical ones. Hence, it is important to protect them against faults that can influence decisions during operation. In this paper, we propose smart and low-cost redundancy schemes that protect the most vulnerable ANN parts against fault attacks. Experimental results show that the two proposed smart schemes perform similarly to dual modular redundancy (DMR) at a much lower cost, generally improve on the state of the art, and reach protection levels in the range of 93% to 99%.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
RRAM Crossbar-Based Fault-Tolerant Binary Neural Networks (BNNs) 基于RRAM交叉栏的容错二值神经网络
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810414
A. Gebregiorgis, Artemis Zografou, S. Hamdioui
{"title":"RRAM Crossbar-Based Fault-Tolerant Binary Neural Networks (BNNs)","authors":"A. Gebregiorgis, Artemis Zografou, S. Hamdioui","doi":"10.1109/ETS54262.2022.9810414","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810414","url":null,"abstract":"Computation-In Memory (CIM) using RRAM crossbar array is a promising solution to realize energy-efficient neuromorphic hardware, such as Binary Neural Networks (BNNs). However, RRAM faults restrict the applicability of CIM for BNN implementation. To address this issue, we propose a fault tolerance framework to mitigate the impact of RRAM faults on the accuracy of CIM-based BNN hardware. Evaluation results using MNIST, Fashion-MNIST and CIFAR-10 datasets demonstrate that the proposed framework outperforms the related works as it restores more than 99% of the RRAM fault induced accuracy reduction with relatively less overhead.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125743537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
ETS 2022 Sponsors ETS 2022赞助商
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ets54262.2022.9810423
{"title":"ETS 2022 Sponsors","authors":"","doi":"10.1109/ets54262.2022.9810423","DOIUrl":"https://doi.org/10.1109/ets54262.2022.9810423","url":null,"abstract":"","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123180501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quality Assessment of RFET-based Logic Locking Protection Mechanisms using Formal Methods 基于rfet的逻辑锁定保护机制的形式化质量评估
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810459
M. Merten, S. Huhn, R. Drechsler
{"title":"Quality Assessment of RFET-based Logic Locking Protection Mechanisms using Formal Methods","authors":"M. Merten, S. Huhn, R. Drechsler","doi":"10.1109/ETS54262.2022.9810459","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810459","url":null,"abstract":"The high distribution of the manufacturing of Integrated Circuits (ICs) over different foundries yields long and untrustworthy supply chains. Logic locking is one prominent protection technique against malicious usage and counterfeit. The emerging technology of Reconfigurable Field-Effect Transistors (RFETs) has recently been utilized to implement new polymorphic logic mechanisms to protect intellectual property. The mechanisms’ assessment is important to reinforce the newly introduced protection mechanism and, hence, avoid any weak logic structures. So far, approximate Hamming Distance-based assessment techniques have been used for determining the protection quality while considering combinatorial circuits only. This work proposes a novel method to assess the quality of the RFET-based logic locking structures for sequential circuits. In particular, formal techniques are orchestrated to analyze the circuit’s state space to determine whether any incorrect keys exist that unintentionally unlock and exhibit the circuit’s correct functional behavior. The experimental evaluation validates that the proposed scheme unveils weaknesses of the protection structure, which remain undetected when using existing techniques.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127962782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
ETS 2021 Best Paper ETS 2021年度最佳论文
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ets54262.2022.9810417
{"title":"ETS 2021 Best Paper","authors":"","doi":"10.1109/ets54262.2022.9810417","DOIUrl":"https://doi.org/10.1109/ets54262.2022.9810417","url":null,"abstract":"","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122949715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Generic Fast and Low Cost BIST Solution for CMOS Image Sensors 一种通用、快速、低成本的CMOS图像传感器BIST解决方案
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810458
J. Lefevre, P. Debaud, P. Girard, A. Virazel
{"title":"A Generic Fast and Low Cost BIST Solution for CMOS Image Sensors","authors":"J. Lefevre, P. Debaud, P. Girard, A. Virazel","doi":"10.1109/ETS54262.2022.9810458","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810458","url":null,"abstract":"This paper demonstrates the generalization of a novel test solution embedded inside CMOS Image Sensors (CIS) to classify PASS/FAIL sensors during the test production phase. In [1], a Built-In Self-Test (BIST) solution was proposed to reduce the test time of a CIS, which can represent up to 30% of the final product cost. The major part of the test is dedicated to optical (i.e. image processsing) algorithms performed on the output images from the sensor under test with an Automatic Test Equipment (ATE). The BIST solution reuses these optical algorithms by simplifying and embedding them inside the sensor, to avoid a large amount of data storage and to limit the optical test time. First results on 4,800 output images from a package of sensors have shown a 99.95% correlation between results gathered from an ATE and those achieved with the proposed BIST, with a saving of approximately 30% in optical test time and a negligible area footprint. In this paper, to verify the effectiveness of the BIST solution on a wider set of different CIS (i.e., architecture, size and technology), we experimented the solution on a new database of 28,000 output images from a package of different sensors compared to the first package used in [1]. The BIST parameters have been configured to fit with the new type of sensors and results show a 99.64% correlation, which demonstrates the possible systematic implementation of the proposed BIST solution inside all CIS irrespective of their architecture and technology.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Concurrent Error Detection for LSTM Accelerators LSTM加速器并发错误检测
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810369
Nooshin Nosrati, Seyedeh Maryam Ghasemi, Mahboobe Sadeghipour Roodsari, Z. Navabi
{"title":"Concurrent Error Detection for LSTM Accelerators","authors":"Nooshin Nosrati, Seyedeh Maryam Ghasemi, Mahboobe Sadeghipour Roodsari, Z. Navabi","doi":"10.1109/ETS54262.2022.9810369","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810369","url":null,"abstract":"The widespread usage of Long Short-Term Memory (LSTM) accelerators in time-series related applications necessitates using a protection mechanism against faults caused by wear-out and environmental effects. This paper proposes a Concurrent Error Detection (CED) scheme combining low overhead duplication and residue codes to detect faults in multiply and add stages of LSTM accelerators. For the multiply stage, the CED consists of a multiplier for every LSTM multiplier with a temporal selection of data. For the add stage, the CED adders are shared among the LSTM adders, thus spatial selection is performed. The experimental results show that the proposed method yields good detection probability with a lower area and power overhead in comparison with the traditional duplication techniques that indiscriminately duplicate all hardware structures all the time.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134392265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SpinalFuzz: Coverage-Guided Fuzzing for SpinalHDL Designs SpinalFuzz:覆盖引导模糊SpinalHDL设计
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810421
Katharina Ruep, Daniel Große
{"title":"SpinalFuzz: Coverage-Guided Fuzzing for SpinalHDL Designs","authors":"Katharina Ruep, Daniel Große","doi":"10.1109/ETS54262.2022.9810421","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810421","url":null,"abstract":"Boosting hardware design productivity is a major plus of SpinalHDL, a Scala-based Hardware Description Language (HDL). SpinalHDL achieves this by providing object oriented programming, functional programming, and meta-hardware description finally enabling the generation of Verilog code. Despite all the advantages of SpinalHDL, verification is the biggest challenge here as well.In this paper, we bring Coverage-Guided Fuzzing (CGF), a well-established software testing technique, to the SpinalHDL design flow. We have implemented our approach SpinalFuzz on top of the fuzzer AFL++. We leverage Scala-features to automate as many tasks as possible and ease the integration of fuzzing in SpinalHDL. In the experiments we demonstrate the effectiveness of SpinalFuzz in comparison to Constrained Random Verification (CRV). For a wide range of SpinalHDL designs we show that SpinalFuzz outperforms CRV and reaches coverage-closure.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123238566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Machine learning based soft error rate estimation of pass transistor logic in high-speed communication 基于机器学习的高速通信通管逻辑软错误率估计
2022 IEEE European Test Symposium (ETS) Pub Date : 2022-05-23 DOI: 10.1109/ETS54262.2022.9810410
Z. Zhang, J. Lappas, A. Chinazzo, C. Weis, Z. Wu, L. Ni, N. Wehn, M. Tahoori
{"title":"Machine learning based soft error rate estimation of pass transistor logic in high-speed communication","authors":"Z. Zhang, J. Lappas, A. Chinazzo, C. Weis, Z. Wu, L. Ni, N. Wehn, M. Tahoori","doi":"10.1109/ETS54262.2022.9810410","DOIUrl":"https://doi.org/10.1109/ETS54262.2022.9810410","url":null,"abstract":"Recent advanced high-speed communication systems, such as optical systems, require highest reliability at lowest possible power consumption. Thus, Pass Transistor Logic (PTL) is gaining lots of interest in these communication systems due to its power saving potential compared to traditional CMOS logic. However, due to the non-conventional logic structure, its susceptibility to radiation-induced soft errors is different from CMOS circuitry. Due to the unique generation and propagation of Single Event Transients (SETs) in PTL, different approaches for PTL soft error rate (SER) estimation are required. In this paper we propose a machine learning (ML) approach for SET propagation in PTL logic. Multi-layer feed-forward neural network together with support vector classifier (SVC) are used to build the SET pulse width and pulse amplitude models. Bayesian optimization using Gaussian Processes is utilized to tune the hyperparameters of neural network. The experimental results on full adder (FA), which is the key component in many large cirucits such as ALU, and comparison with Monte Carlo (MC) spectre simulations confirm the accuracy and speed of the proposed method.","PeriodicalId":334931,"journal":{"name":"2022 IEEE European Test Symposium (ETS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122505151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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