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33rd IEEE Asian Test Symposium, ATS 2024

作者： Pandaram, Karthik Amrouch, Hussam Polian, Ilia University of Stuttgart Institute of Computer Engineering and Computer Architecture Germany Germany

ISBN: (纸本)9798331529161

Marginal defects, such as high-resistance short or low-resistance open defects, are hard to detect by conventional pass-fail test methods because their manifestations are practically indistinguishable from the effects of regular variations. However, their coverage is essential for circuits with high-quality requirements and/or when early-life failures are a concern. In this paper, we propose an alternative detection concept based on evaluating several parametric responses of a circuit against a machine learning (ML) model. We use a 14nm FinFET transistor model validated against industrial measurements. We show that high detection performance is possible even when unsupervised learning that does not consider defective behavior is used;to this end, the procedure is generic. Moreover, an AUC score of over 0.96 is achieved when only measurements from a single voltage level are utilized, in contrast to earlier work. We also present a procedure to select a reduced set of test sequences, achieving an improvement of 50% reduction with a limited impact on detection performance. © 2024 IEEE.

关键词： Unsupervised learning

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Synergistic Floorplanning and Routing Topology Co-design for Application-Specific NoC Synthesis 17

Synergistic Floorplanning and Routing Topology Co-design for...

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17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2024

作者： Liu, Shuang Radetzki, Martin University of Stuttgart Institute of Computer Architecture and Computer Engineering Stuttgart Germany

ISBN: (纸本)9798331530471

Network-on-Chip (NoC) offers a promising solution for on-chip communication in highly integrated System-on-Chips (SoCs). NoCs can be designed with either regular or application-specific network topologies. While regular topologies are easy to design, they are not ideal for systems with heterogeneous processing elements (PEs) that vary in size. The design of application-specific NoCs, however, involves several interrelated problems that impact each other. This work addresses the challenges in the synthesis of application-specific NoCs by proposing an Integer Linear Programming (ILP) framework. This framework enables the co-design of major problems, including floorplanning, routing topology generation, routing path construction, and application mapping. Although the ILP framework can be applied to each problem individually or in a stepwise manner, the co-design of these interconnected problems allows synthesis steps to interact, enabling designers to explore the entire design space. Using this framework, we have analyzed various design configurations in the synthesis of application-specific NoCs. © 2024 IEEE.

关键词： Network-on-chip

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Integer Linear Programming Based Design of Deadlock-Free Routing for Chiplet-Based Systems 37

Integer Linear Programming Based Design of Deadlock-Free Rou...

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37th IEEE International System-on-Chip Conference, SOCC 2024

作者： Liu, Shuang Radetzki, Martin University of Stuttgart Embedded Systems Institute of Computer Architecture and Computer Engineering Stuttgart Germany

ISBN: (纸本)9798350377569

Chiplet-based systems have become prominent in large Systems-on-Chips (SoCs) as a means to mitigate increasing design costs. However, the integration of multiple chiplets introduces new challenges in the interconnection network, potentially leading to deadlocks. In this paper, we propose an Integer Linear Programming (ILP) based design approach to address this issue. Our method considers various design factors for deadlock-free routing, such as topology, latency, load balancing, path diversity, and fault tolerance, applicable to both general-purpose chiplets and application-specific chiplets. It facilitates the determination of optimal turn restrictions for general-purpose chiplets or constructs optimal deadlock-free routing paths for application-specific chiplets if the communication patterns are known. The results demonstrate the capability of the method to find optimal solutions under various design considerations. © 2024 IEEE.

关键词： Integer linear programming

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Fault Tolerance in Stochastic Circuits for Recurrent Sequential Neural Networks 33

Fault Tolerance in Stochastic Circuits for Recurrent Sequent...

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33rd IEEE Asian Test Symposium, ATS 2024

作者： Sengupta, Roshwin Polian, Ilia Hayes, John P. University of Stuttgart Institute of Computer Architecture and Computer Engineering Stuttgart Germany University of Michigan Computer Engineering Laboratory Ann ArborMI United States

ISBN: (纸本)9798331529161

Stochastic computing (SC) provides low-area, power-efficient hardware solutions suitable for edge systems, but its scalability poses challenges due to its precision limitations, especially in noisy environments. This paper investigates the fault tolerance of key SC components, such as stochastic number generators (SNGs) and activation functions (AFs), within recurrent and sequential networks like long short-term memory (LSTM) networks. We inject bit-flip faults into a network's most sensitive inputs, weights and AFs, and study fault propagation across different network layers. Our findings reveal that SC component choices significantly influence fault tolerance. For example, networks using Sobol-based SNGs with tanh AFs exhibited stronger resilience than those with LFSR-based SNGs and ReLU AFs, by maintaining higher accuracy under fault conditions. However, the accuracy of the networks declined significantly under simultaneous faults in inputs, weights and AFs. Additionally, while increasing stochastic number lengths improved fault tolerance, they also increased latency. Nevertheless, the SC networks achieved up to 54% area and 72% power savings, making them ideal for resource-constrained applications. We also found that there is a trade-off between efficiency and fault tolerance: SC designs that focus on resource efficiency may struggle in noisy environments, where fault-tolerant SC designs are more effective. This implies that fault resilience in SC architectures depend heavily on design choices and cannot be assumed inherent across all configurations. © 2024 IEEE.

关键词： Long short-term memory

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Block-gram:Mining knowledgeable features for efficiently smart contract vulnerability detection

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Digital Communications and Networks 2025年第1期11卷 1-12页

作者： Xueshuo Xie Haolong Wang Zhaolong Jian Yaozheng Fang Zichun Wang Tao Li Tianjin Key Laboratory of Network and Data Security Technology TianjinChina College of Computer Science Nankai UniversityTianjinChina Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province China State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesChina

Smart contracts are widely used on the blockchain to implement complex transactions,such as decentralized applications on *** vulnerability detection of large-scale smart contracts is critical,as attacks on smart contracts often cause huge economic *** it is difficult to repair and update smart contracts,it is necessary to find the vulnerabilities before they are ***,code analysis,which requires traversal paths,and learning methods,which require many features to be trained,are too time-consuming to detect large-scale on-chain ***-based methods will obtain detection models from a feature space compared to code analysis methods such as symbol *** the existing features lack the interpretability of the detection results and training model,even worse,the large-scale feature space also affects the efficiency of *** paper focuses on improving the detection efficiency by reducing the dimension of the features,combined with expert *** this paper,a feature extraction model Block-gram is proposed to form low-dimensional knowledge-based features from ***,the metadata is separated and the runtime code is converted into a sequence of opcodes,which are divided into segments based on some instructions(jumps,etc.).Then,scalable Block-gram features,including 4-dimensional block features and 8-dimensional attribute features,are mined for the learning-based model ***,feature contributions are calculated from SHAP values to measure the relationship between our features and the results of the detection *** addition,six types of vulnerability labels are made on a dataset containing 33,885 contracts,and these knowledge-based features are evaluated using seven state-of-the-art learning algorithms,which show that the average detection latency speeds up 25×to 650×,compared with the features extracted by N-gram,and also can enhance the interpretability of the detection model.

关键词： Smart contract Bytecode&opcode Knowledgeable features Vulnerability detection Feature contribution

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What’s Missing in Agile Hardware Design? Verification!

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Journal of computer Science & Technology 2023年第4期38卷 735-736页

作者： Babak Falsafi Parallel Systems Architecture Laboratory Institute of Computer and Communication SciencesSchool of Computer andCommunication SciencesEcole Polytechnique Fédérale de LausanneLausanneCH-1015Switzerland

Agile hardware design is an approach to developing hardware systems that draws inspiration from the principles and practices of agile software *** emphasizes collaboration,flexibility,iterative development,and quick adaptation to changing *** agile hardware design,the focus is on delivering functionalhardware systems in shorter development cycles while maintaining high-quality and customer *** particular,agile hardware design is of great interest in the open-source hardware ***-sourcehardware development—such as RISC-V—is at the forefront of initiatives to democratize hardware and drive innovation in chip design *** design is instrumental for the RISC-V community because it supportsrapid iteration,accommodates the evolving RISC-V standard and the addition of custom extensions,improvescommunity collaboration and time-to-market,and addresses the design challenges associated with complex architectural features.

关键词： hardware agile architectural

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Pattern Generation for Efficient Acceptability Verification of Approximate Circuits

Pattern Generation for Efficient Acceptability Verification ...

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2024 International VLSI Symposium on Technology, Systems and Applications, VLSI TSA 2024

作者： Chao, Wei-Ji Kourfali, Alexandra Lylina, Natalia Wu, Jun-Tsung Yang, Jing-An Wang, Chih-Hao Hsieh, Tong-Yu Wunderlich, Hans-Joachim National Sun Yat-sen University Department of Electrical Engineering Taiwan Institute of Computer Architecture and Computer Engineering University of Stuttgart Germany

ISBN: (纸本)9798350360349

Approximate computing allows designers to trade-off precision with hardware cost and power consumption. The possible degree of approximation relies on a realistic quality assessment with functional input sequences and metrics to quantify the error magnitude. The complete exploration of the input space is impracticable in most cases but a partial input sequence might underestimate the severity of possible errors. The paper at hand presents an approach to generate patterns for efficient acceptability verification of an approximate circuit and to complement conventional quality assessment methods. A modified miter design indicates the differences between the approximate and the precise circuit, and an existing ATPG flow is used to maximize the differences. A case study on JPEG2000 decoder validates that our approach can efficiently and effectively identify unacceptable approximate results where conventional image quality assessment methods failed. © 2024 IEEE.

关键词： Timing circuits

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Efficient network management scheme for device-to-device communication using channel indicators

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Telecommunication Systems 2025年第2期88卷 1-20页

作者： Rathod, Tejal Gupta, Rajesh Jadav, Nilesh Kumar Tanwar, Sudeep Pau, Giovanni Alblehaİ, Fahad Alfarraj, Osama Department of Computer Science and Engineering Institute of Technology Nirma University Ahmedabad382481 India Department of Computer Engineering - AI ML & DS Marwadi University Rajkot360003 India Faculty of Engineering and Architecture Kore University of Enna Enna94100 Italy Computer Science Department Community College King Saud University Riyadh11437 Saudi Arabia

Device-to-Device (D2D) communication maneuvers the proximity services for flexible communication between two nearby devices. It provides high data rates and enhances the spectral and energy efficiency of the D2D communication systems. The base station plays an important role in allocating cellular resources to D2D users. However, it suffers from challenges, such as interference, inefficient resource allocation, security, device discovery, and many more, which may deteriorate the performance of D2D communication. To overcome the aforementioned issues, in this paper, we present an analytics-based efficient network selection scheme that utilizes the reference channel indicators, i.e., receive strength signal indicator, received signal received power, and reference signal received quality to select the best micro base station (MBS) between the D2D user. We evaluated the proposed scheme in five different simulated scenarios wherein each scenario, there are a different number of MBS and D2D pairs. The MBS broadcasts the reference channel indicators at a specific interval of time, and the D2D pairs select the MBS that has the most promising indicator. Finally, all the proposed scenarios are compared and evaluated against the sum rate to analyze the performance of D2D communication with the reference channel indicators. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Resource allocation

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Optimal Synthesis of Memristive Mixed-Mode Circuits

Optimal Synthesis of Memristive Mixed-Mode Circuits

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2025 Design, Automation and Test in Europe Conference, DATE 2025

作者： Polian, Ilia Zhao, Xianyue Chen, Li-Wei Bayhurst, Felix Chen, Ziang Schmidt, Heidemarie Du, Nan University of Stuttgart Institute of Computer Architecture and Computer Engineering Stuttgart Germany Friedrich Schiller University Jena Institute for Solid State Physics Leibniz Institute of Photonic Technology Department of Quantum Detection Jena Germany

ISBN: (纸本)9783982674100

Memristive crossbars are attractive for in-memory computing due to their integration density combined with compute and storage capabilities of their basic devices. However, yield and fidelity of emerging memristive technologies can make their reliable operation unattainable, thus raising interest in simpler topologies. In this paper, we consider synthesis of Boolean functions on 1D memristive line arrays. We propose an optimal procedure that can fully utilize the rich electrical behavior of memristive devices, mixing stateful (resistance-input) and non-stateful (voltage-input) operations as desired by the designer, leveraging their respective strengths. The synthesis method is based on Boolean satisfiability (SAT) solving and supports flexible constraints to enforce, e.g., restrictions of the available peripher-als. We experimentally validate memristive logic circuits beyond individual logic gates by demonstrating the operation of a Galois field multiplier using a 1D line array of 10 memristors in parallel, highlighting the robust performance of our proposed mixed-mode circuit and its synthesis procedure. © 2025 EDAA.

关键词： Boolean functions

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Pedestrian wind flow prediction using spatial-frequency generative adversarial network

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Building Simulation 2024年第2期17卷 319-334页

作者： Pengyue Wang Maozu Guo Yingeng Cao Shimeng Hao Xiaoping Zhou Lingling Zhao School of Architecture and Urban Planning Beijing University of Civil Engineering and ArchitectureBeijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044China School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China School of Computer Science and Technology Harbin Institute of TechnologyHarbin150001China

Pedestrian wind flow is a critical factor in designing livable residential environments under growing complex urban *** pedestrian wind flow during the early design stages is essential but currently suffers from inefficiencies in numerical *** learning,particularly generative adversarial networks(GAN),has been increasingly adopted as an alternative method to provide efficient prediction of pedestrian wind ***,existing GAN-based wind flow prediction schemes have limitations due to the lack of considering the spatial and frequency characteristics of wind flow *** study proposes a novel approach termed SFGAN,which embeds spatial and frequency characteristics to enhance pedestrian wind flow *** the spatial domain,Gaussian blur is employed to decompose wind flow into components containing wind speed and distinguished flow edges,which are used as the embedded spatial *** information of wind flow is obtained through discrete wavelet transformation and used as the embedded frequency *** spatial and frequency characteristics of wind flow are jointly utilized to enforce consistency between the predicted wind flow and ground truth during the training phase,thereby leading to enhanced *** results demonstrate that SFGAN clearly improves wind flow prediction,reducing Wind_MAE,Wind_RMSE and the Fréchet Inception Distance(FID)score by 5.35%,6.52%and 12.30%,compared to the previous best method,*** also analyze the effectiveness of incorporating the spatial and frequency characteristics of wind flow in predicting pedestrian wind *** reduces errors in predicting wind flow at large error intervals and performs well in wake regions and regions surrounding *** enhanced predictions provide a better understanding of performance variability,bringing insights at the early design stage to improve pedestrian wind *** proposed spatial-frequen

关键词： pedestrian wind flow prediction generative adversarial network Gaussian kernel wavelet transform objective function

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