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arXiv 2025年

作者： Abdurahman, Abubeker Hossain, Abrar Brown, Kevin A. Yoshii, Kazutomo Ahmed, Kishwar Department of Electrical Engineering and Computer Science The University of Toledo ToledoOH United States Mathematics and Computer Science Division Argonne National Laboratory LemontIL United States

Efficient job scheduling and resource management contributes towards system throughput and efficiency maximization in high-performance computing (HPC) systems. In this paper, we introduce a scalable job scheduling and resource management component within the structural simulation toolkit (SST), a cycle-accurate and parallel discrete-event simulator. Our proposed simulator includes state-of-the-art job scheduling algorithms and resource management techniques. Additionally, it introduces a workflow management components that supports the simulation of task dependencies and resource allocations, crucial for workflows typical in scientific computing and data-intensive applications. We present validation and scalability results of our job scheduling simulator. Simulation shows that our simulator achieves good accuracy in various metrics (e.g., job wait times, number of nodes usage) and also achieves good parallel performance. © 2025, CC BY.

关键词： Job shop scheduling

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Direction of Arrival Estimation Using a Transmitarray and a Single Antenna Element

Direction of Arrival Estimation Using a Transmitarray and a ...

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International Symposium on Antennas and Propagation (ISAP)

作者： Ryusuke Sunagawa Hibiki Shiiba Makoto Sano Ryuji Kuse Takeshi Fukusako Department of Computer Science and Electrical Engineering Kumamoto University Kumamoto Japan Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

This paper deals with a direction-of-arrival estimation (DOA) using an optimized transmitarray and a single receiving antenna. The transmitarray consists of 1-bit elements with 0° and 180° transmission phases. The transmission phase distribution was optimized using a genetic algorithm. The accuracy of the DOA estimation is almost the same as that of the DOA estimation system using a 3-element linear array antenna.

关键词： Antenna measurements Direction-of-arrival estimation Power demand Phase measurement Transmitting antennas Estimation Receiving antennas Directive antennas Sensors Linear antenna arrays

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Design of a Magneto-Electric Monopole Antenna

Design of a Magneto-Electric Monopole Antenna

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International Symposium on Antennas and Propagation (ISAP)

作者： Shunta Nakamura Makoto Sano Ryuji Kuse Takeshi Fukusako Department of Computer Science and Electrical Engineering Kumamoto University Kumamoto Japan Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan

This paper presents a compact magneto-electric (ME) monopole antenna. Based on the image theory, the lateral size of the conventional ME dipole antenna is reduced by half, by placing a vertical ground plane. The ME mo... 详细信息

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

关键词： Dipole antennas Antenna theory Magnetic resonance imaging Magnetoelectric effects Antennas and propagation Antenna radiation patterns

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Trust-Region Based Stochastic Variational Inference for Distributed and Asynchronous Networks

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Journal of Systems science & Complexity 2022年第6期35卷 2062-2076页

作者： FU Weiming QIN Jiahu LING Qing KANG Yu YE Baijia Department of Automation University of Science and Technology of ChinaHefei 230027China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China School of Computer Science and Engineering and Guangdong Province Key Laboratory of Computational ScienceSun Yat-Sen UniversityGuangzhou 510006China Institute of Advanced Technology University of Science and Technology of ChinaHefei 230027China

Stochastic variational inference is an efficient Bayesian inference technology for massive datasets,which approximates posteriors by using noisy gradient *** stochastic variational inference can only be performed in a centralized manner,which limits its applications in a wide range of situations where data is possessed by multiple ***,this paper develops a novel trust-region based stochastic variational inference algorithm for a general class of conjugate-exponential models over distributed and asynchronous networks,where the global parameters are diffused over the network by using the Metropolis rule and the local parameters are updated by using the trust-region ***,a simple rule is introduced to balance the transmission frequencies between neighboring nodes such that the proposed distributed algorithm can be performed in an asynchronous *** utility of the proposed algorithm is tested by fitting the Bernoulli model and the Gaussian model to different datasets on a synthetic network,and experimental results demonstrate its effectiveness and advantages over existing works.

关键词： Asynchronous networks Bayesian inference distributed algorithm stochastic variational inference trust-region method

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***: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models

arXiv

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arXiv 2024年

作者： Chen, Yuyan Wu, Chenwei Yan, Songzhou Liu, Panjun Zhou, Haoyu Xiao, Yanghua Shanghai Key Laboratory of Data Science School of Computer Science Fudan University China Electrical Engineering and Computer Science Department University of Michigan United States School of Computer Science Beijing Institute of Technology China

Teachers are important to imparting knowledge and guiding learners, and the role of large language models (LLMs) as potential educators is emerging as an important area of study. Recognizing LLMs’ capability to generate educational content can lead to advances in automated and personalized learning. While LLMs have been tested for their comprehension and problem-solving skills, their capability in teaching remains largely unexplored. In teaching, questioning is a key skill that guides students to analyze, evaluate, and synthesize core concepts and principles. Therefore, our research introduces a benchmark to evaluate the questioning capability in education as a teacher of LLMs through evaluating their generated educational questions, utilizing Anderson and Krathwohl’s taxonomy across general, monodisciplinary, and interdisciplinary domains. We shift the focus from LLMs as learners to LLMs as educators, assessing their teaching capability through guiding them to generate questions. We apply four metrics, including relevance, coverage, representativeness, and consistency, to evaluate the educational quality of LLMs’ outputs. Our results indicate that GPT-4 demonstrates significant potential in teaching general, humanities, and science courses;Claude2 appears more apt as an interdisciplinary teacher. Furthermore, the automatic scores align with human perspectives. © 2024, CC BY.

关键词： Problem solving

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Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 441-454页

作者： Yongliang Yang Zhijie Liu Qing Li Donald C.Wunsch the Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China the Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA

This paper considers the adaptive neuro-fuzzy control scheme to solve the output tracking problem for a class of strict-feedback nonlinear *** asymmetric output constraints and input saturation are *** asymmetric barrier Lyapunov function with time-varying prescribed performance is presented to tackle the output-tracking error constraints.A high-gain observer is employed to relax the requirement of the Lipschitz continuity about the nonlinear *** avoid the"explosion of complexity",the dynamic surface control(DSC)technique is employed to filter the virtual control signal of each *** deal with the actuator saturation,an additional auxiliary dynamical system is *** is theoretically investigated that the parameter estimation and output tracking error are semi-global uniformly ultimately *** simulation examples are conducted to verify the presented adaptive fuzzy controller design.

关键词： Asymmetric barrier Lyapunov function input saturation Nussbaum function time-varying prescribed performance

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Scalable Hamming Distance Computation Using Accelerated Matrix Transformations

Scalable Hamming Distance Computation Using Accelerated Matr...

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ISC High Performance 2025 Research Paper Proceedings (40th International Conference)

作者： Rabab Alomairy Qinglei Cao Hatem Ltaief David Keyes Alan Edelman Computer Science & Artificial Intelligence Laboratory Massachusetts Institute of Technology USA Department of Computer Science Saint Louis University USA Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology KSA

ISBN: (数字)9783982633619

The Hamming distance, a fundamental measure of dissimilarity between data points, plays a crucial role in various fields, including error detection, machine learning, and genomic sequence alignment, where it is commonly used for identifying mismatches in nucleotide or protein sequences. This work introduces two implementations for computing Hamming distances for sequence alignment: synchronous and asynchronous matrix-based approaches. While most existing implementations rely on vector-based methods due to their simplicity and ease of use, they are not efficient for large-scale data. Our work focuses on enhancing performance by introducing matrix-based implementations that significantly improve computational efficiency and scalability. Our asynchronous implementation showcases Julia for sequential task flow and PaRSEC for parameterized task graph execution models on homogeneous and heterogeneous architectures. CPU computations use INT8 GEMM from oneMKL, while GPU implementations employ Tensor/Matrix Core INT8 GEMM from cuBLAS/hipBLAS and 1-bit TensorOps GEMM capabilities from CUTLASS. For constructing bitmask matrices on GPUs, we develop both a naive CUDA implementation using global memory and an optimized implementation utilizing shared memory at the warp level, with the optimized version achieving a 5X speedup over the naive approach. The results demonstrate significant performance improvements, with the asynchronous matrix-based implementation achieving up to 284X speedup over the vector-based approach on CPUs, while the asynchronous GPU-enabled implementation on A100 GPUs delivers a 15X speedup compared to the CPU matrix-based approach and a three orders of magnitude improvement over the CPU vector-based approach. Furthermore, the asynchronous implementation of PaRSEC scales well on up to 256 nodes of Summit and Frontier. These advancements highlight the scalability and efficiency of matrix-based Hamming distance computation, leveraging GPU acceleration and advan

关键词： Proteins Runtime Scalability Graphics processing units Genomics computer architecture Computational efficiency Hamming distances Resource management Bioinformatics

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Data Availability Optimization for Cyber-Physical Systems 15

Data Availability Optimization for Cyber-Physical Systems

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2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green Computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2022 and 8th IEEE International Conference on Smart Data, SmartData 2022

作者： Li, Liying Cong, Peijin Zhou, Junlong Gu, Zonghua Li, Keqin School of Computer Science and Engineering Nanjing University of Science and Technology China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Department of Applied Physics and Electronics Ume˚a University Sweden Department of Computer Science State University of New York United States

ISBN: (数字)9781665454179

ISBN: (纸本)9781665454179

As the backbone of Industry 4.0, Cyber-Physical Systems (CPSs) have attracted extensive attention from industry, academia, and government. Missing data is a common problem in CPS data processing and may cause incorrect results and eventually serious malfunction. Existing data availability optimization methods either rely on a large amount of complete training data or suffer from poor performance. To solve these problems, this paper proposes an iterative data availability optimization method for CPSs. Specifically, the proposed method first pre-processes the raw dataset by using a Singular Value Decomposition-based feature selection approach to identify crucial features and reduce computation overheads. It then makes an initial guess for missing values via a designed K-Means-based imputation approach. The appropriate initial estimation decreases the probability of the proposed method falling into the local optimum. Finally, the proposed method iteratively estimates missing data based on the Orthogonal Matching Pursuit algorithm. The proposed method optimizes data availability by accurately imputing missing values. Simulation results on two datasets demonstrate that compared to multiple state-of-the-art approaches, the proposed data availability optimization method can reduce imputation error by up to 99.65%. © 2022 IEEE.

关键词： Iterative methods

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A Comparison of CdS and Zn(O,S) Buffer Layers in (Ag,Cu)(In,Ga)Se2 Solar Cells 52

A Comparison of CdS and Zn(O,S) Buffer Layers in (Ag,Cu)(In,...

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52nd IEEE Photovoltaic Specialist Conference, PVSC 2024

作者： Miller, Michael F. Kanevce, Ana Baan, Marzieh Gutzler, Rico Kuciauskas, Darius Friedlmeier, Theresa Magorian Grassman, Tyler J. Arehart, Aaron R. Stuttgart70563 Germany National Renewable Energy Laboratory GoldenCO80401 United States The Ohio State University Department of Electrical & Computer Engineering ColumbusOH43210 United States The Ohio State University Department of Materials Science & Engineering ColumbusOH43210 United States

ISBN: (纸本)9781665464260

Cu(In,Ga)Se2-based solar cells typically use a CdS buffer layer, even though its relatively low bandgap causes parasitic absorption. While alternatives to CdS have been explored in other studies, limited results have been shown for Ag-alloyed CIGS (ACIGS). In this study, ACIGS solar cells with both CdS and Zn(O,S) buffer layers were fabricated and compared for solar cell performance. The Zn(O,S) buffer slightly improved Jsc through reduced absorption, although surface optimization is necessary. The Zn(O,S) ACIGS also had improved FF through reduced series resistance and ideality factor, which could be improved further through optimization. However, the Voc in the Zn(O,S) samples was reduced, likely due to increased bulk and front interface recombination. This study shows the promise of Zn(O,S) as a buffer layer in ACIGS solar cells and suggests pathways for further improvement. © 2024 IEEE.

关键词： Silver alloys

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Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems

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IFAC-PapersOnLine 2023年第2期56卷 3447-3452页

作者： Kefan Wu Junyan Hu Zhengtao Ding Farshad Arvin Department of Electrical and Electronic Engineering The University of Manchester UK Department of Computer Science University College London UK Swarm & Computational Intelligence Laboratory (SwaCIL) Department of Computer Science Durham University UK

This paper addresses the bearing-only formation tracking problem for heterogeneous nonlinear multi-robot systems. In contrast to position and distance-based formation algorithms, the robots can only measure the bearing information from their neighbors to achieve cooperation while the state information is unavailable. This characteristic is able to be implemented in the hardware to reduce the requirements of the sensors. We construct a compensation function in the proposed controller to eliminate the effect of the unknown nonlinear terms in the system. This compensation function is also based on bearing measurements, which guarantees that the overall controller is bearing-only. The stability of the proposed formation tracking strategy can be ensured by Lyapunov techniques. Moreover, we analyze the performance of the protocol for moving leaders, where the formation tracking error can be restricted in a bounded set. Finally, the simulation results are presented to validate the feasibility of the proposed algorithm for both fixed and moving leaders.

关键词： Bearing measurements formation tracking nonlinear control multi-robot systems

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