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Asynchronous Heterogeneous Mechanism for Hyper-Distributed Hyper-Parallel Al Processing

Journal of computer Science & Technology 1999年第3期14卷 234-241页

作者：帅典勋 Department of Computer Science East-China University of Science and Technology Shanghai P.R. China State Key Laboratory of Intelligence and System Tsinghua University Beijing P.R. China

This paper proposes an asynchronous heterogeneous propagation approach of concurrent competitive waves for hyper-distributed hyper-parallel heuris tic problem-solving. This approach is much more powerful than the synchronous homogeneous mechanisms and the asynchronous superimposition algorithms, and has universal validity and availability. The basic conception, concurrent algorithm and its properties are discussed. The theory and conclusions drawn in this paper are of essential importance for the hardware implementation of hyper-distributed hyper-parallel processing based on chaotic cellular networks.

关键词： asynchronous heterogeneous competitive waves hyper-distributed hyper-parallel processing concurrent algorithm heuristic search implicit AND/OR graph

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Apical-dominant particle swarm optimization

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Progress in Natural Science:Materials International 2008年第12期18卷 1577-1582页

作者： Zhihua Cui~(a,b) Xingjuan Cai~b Jianchao Zeng~b Guoji Sun~a a state key laboratory for Manufacturing systems Engineering,Xi’an Jiaotong University,Xi’an 710049,China b Division of system Simulation and computer Application,Taiyuan University of Science and Technology,Taiyuan 030024,China [a]State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an 710049 China [b]Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framework of this biological assumption. However,in this paper,the search pattern of PSO is used to model the branch growth process of natural *** provides a different poten- tial manner from artificial *** illustrate the effectiveness of this new model,apical dominance phenomenon is introduced to construct a ncvel variant by emphasizing the influence of the *** this improvement,the population is divided into three different kinds of buds associated with their ***,a mutation strategy is applied to enhance the ability escaping from a local ***- ulation results demonstrate good performance of the new method when solving high-dimensional multi-modal problems.

关键词： Apical-dominance phenomenon Particle swarm optimization Branch growth model High-dimensional multi-modal benchmarks

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Hierarchical Clustering of Complex Symbolic Data and Application for Emitter Identification

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Journal of computer Science & Technology 2018年第4期33卷 807-822页

作者： Xin Xu Jiaheng Lu Wei Wang Laboratory of Science and Technology on Information System Engineering Nanjing Research Institute of Electronics Engineering Nanjing 21000~ China Department of Computer Science University of Helsinki Helsinki 00014 Finland State Key Laboratory for Novel Software and Technology Nanjing University Nanjing 210046 China

It is well-known that the values of symbolic variables may take various forms such as an interval, a set of stochastic measurements of some underlying patterns or qualitative multi-values and so on. However, the majority of existing work in symbolic data analysis still focuses on interval values. Although some pioneering work in stochastic pattern based symbolic data and mixture of symbolic variables has been explored, it still lacks flexibility and computation efficiency to make full use of the distinctive individual symbolic variables. Therefore, we bring forward a novel hierarchical clustering method with weighted general Jaccard distance and effective global pruning strategy for complex symbolic data and apply it to emitter identification. Extensive experiments indicate that our method has outperformed its peers in both computational efficiency and emitter identification accuracy.

关键词： symbolic data analysis stochastic pattern fuzzy interval hierarchical clustering emitter identification

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TSV Minimization for Circuit Partitioned 3D SoC Test Wrapper Design

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Journal of computer Science & Technology 2013年第1期28卷 119-128页

作者： Yuan-Qing Cheng Lei Zhang Yin-He Han Xiao-Wei Li State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

Semiconductor technology continues advancing, while global on-chip interconnects do not scale with the same pace as transistors, which has become the major bottleneck for performance and integration of future giga-scale ICs. Thre dimensional （3D） integration has been proposed to sustain Moore＇s law by incorporating through-silicon vias （TSVs） to integrate different circuit modules in the vertical direction, which is believed to be one of the most promising techniques to tackle the interconnect scaling problem. Due to its unique characteristics, there are many research opportunities, and in this paper we focus on the test wrapper optimization for the individual circuit-partitioned embedded cores within 3D system-on- Chips （SoCs）. Firstly, we use existing 2D SoCs algorithms to minimize test time for individual embedded cores. In addition, vertical interconnects, i.e., TSVs that are used to construct the test wrapper should be taken into consideration as well. This is because TSVs typically employ bonding pads to tackle the misalignment problem, and they will occupy significant planar chip area, which may result in routing congestion. In this paper, we propose a series of heuristic algorithms to reduce the number of TSVs used in test wrapper chain construction without affecting test time negatively. It is composed of two steps, i.e., scan chain allocation and functional input/output insertion, both of which can reduce TSV count significantly. Through extensive experimental evaluations, it is shown that reduce the number of test TSVs dramatically, i.e., as much as 26% in comparison with the intuitive method. the test wrapper chain structure designed by our method can 60.5% reductions in comparison with the random method and

关键词： three-dimensional system-on-chip test wrapper chain through-silicon vias optimization

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A Pipelining Loop Optimization Method for Dataflow architecture

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Journal of computer Science & Technology 2018年第1期33卷 116-130页

作者： Xu Tan Xiao-Chun Ye Xiao-Wei Shen Yuan-Chao Xu Da Wang Lunkai Zhang Wen-Ming Li Dong-Rui Fan Zhi-Min Tang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 1000J9 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214125 China College of Information Engineering Capital Normal University Beijing 100048 China Department of Computer Science The University of Chicago Chicago IL 60637 U.S.A.

With the coming of exascale supercomputing era, power efficiency has become the most important obstacle to build an exascale system. Dataflow architecture has native advantage in achieving high power efficiency for scientific applications. However, the state-of-the-art dataflow architectures fail to exploit high parallelism for loop processing. To address this issue, we propose a pipelining loop optimization method （PLO）, which makes iterations in loops flow in the processing element （PE） array of dataflow accelerator. This method consists of two techniques, architecture-assisted hardware iteration and instruction-assisted software iteration. In hardware iteration execution model, an on-chip loop controller is designed to generate loop indexes, reducing the complexity of computing kernel and laying a good f（mndation for pipelining execution. In software iteration execution model, additional loop instructions are presented to solve the iteration dependency problem. Via these two techniques, the average number of instructions ready to execute per cycle is increased to keep floating-point unit busy. Simulation results show that our proposed method outperforms static and dynamic loop execution model in floating-point efficiency by 2.45x and 1.1x on average, respectively, while the hardware cost of these two techniques is acceptable.

关键词： dataflow model control-flow model loop optimization exascale computing scientific application

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A Case for Adaptive Resource Management in Alibaba Datacenter Using Neural Networks

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Journal of computer Science & Technology 2020年第1期35卷 209-220页

作者： Sa Wang Yan-Hai Zhu Shan-Pei Chen Tian-Ze Wu Wen-Jie Li Xu-Sheng Zhan Hai-Yang Ding Wei-Song Shi Yun-Gang Bao State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences Beijing 100190China University of Chinese Academy of Sciences Beijing 100049China Peng Cheng Laboratory Shenzhen 518055China Alibaba Inc. Hangzhou 311121China Department of Computer Science Wayne State UniversityMichiganMI 48202U.S.A

Both resource efficiency and application QoS have been big concerns of datacenter operators for a long time,but remain to be *** resource utilization increases the risk of resource contention between co-located workload,which makes latency-critical(LC)applications suffer unpredictable,and even unacceptable *** of prior work devotes the effort on exploiting effective mechanisms to protect the QoS of LC applications while improving resource *** this paper,we propose MAGI,a resource management runtime that leverages neural networks to monitor and further pinpoint the root cause of performance interference,and adjusts resource shares of corresponding applications to ensure the QoS of LC *** is a practice in Alibaba datacenter to provide on-demand resource adjustment for applications using neural *** experimental results show that MAGI could reduce up to 87.3%performance degradation of LC application when co-located with other antagonist applications.

关键词： resource management neural network resource efficiency tail latency

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Propagation of Rayleigh-type surface waves in a layered piezoelectric nanostructure with surface effects

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Applied Mathematics and Mechanics(English Edition) 2022年第3期43卷 327-340页

作者： Lele ZHANG Jing ZHAO Guoquan NIE Jinxi LIU State Key Laboratory of Mechanical Behavior and System Safety of Tra±c Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China Hebei Key Laboratory of Mechanics of Intelligent Materials and Structures Department of Engineering MechanicsShijiazhuang Tiedao UniversityShijiazhuang 050043China Department of Architecture Shijiazhuang Institute of Railway TechnologyShijiazhuang 050041China

This work investigates the dispersion properties of Rayleigh-type surface waves propagating in a layered piezoelectric nanostructure composed of a piezoelectric nanofilm over an elastic *** one of the most important features of nanostructures,surface effects characterized by surface stresses and surface electric displacements are taken into account through the surface piezoelectricity theory and the nonclassical mechanical and electrical boundary *** expressions of the dispersion equation are derived,and numerical results are provided to examine the effects of several surface-related parameters,including the surface elasticity,surface piezoelectricity,surface dielectricity,surface density,as well as surface residual stress,on the dispersion modes and phase *** size-dependent dispersion behaviors occurring with surface effects are also predicted,and they may vanish once the thickness of the piezoelectric nanofilm reaches a critical value.

关键词： surface effect surface piezoelectricity dispersion behavior piezoelectric nanofilm Rayleigh wave

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Multi-type energy storage expansion planning: A review for high-penetration renewable energy integration

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Renewable and Sustainable Energy Reviews 2025年 219卷

作者： Zhang, Zhi Chen, Yanbo Ma, Tianyang Tian, Haoxin Liu, Jingyu Zhou, Ming Wang, Wei State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

Energy storage has emerged as a pivotal enabling technology for the integration of renewable energy and the decarbonization of energy systems. The growing penetration of renewable energy sources (RES) has brought about a significant transformation in the operational characteristics of power systems, posing substantial challenges in maintaining power balance and ensuring stable operation across multiple time scales. Multi-type energy storage, with their distinct regulation characteristics, can meet the multi-time scale regulation requirements of power systems. As a result, scientific and efficient storage expansion planning (SEP) has become a critical task in promoting the energy transition. Although numerous studies have thoroughly explored the advancements of energy storage technologies, a comprehensive and systematic review of SEP is still remains underexplored. To fill this research gap, this study first delves into the operational challenges faced by high-penetration RES power systems and synthesizes current research on multifaceted energy storage applications. Subsequently, it offers a systematic review of planning methodologies for multi-type energy storage, covering traditional application scenarios such as source-side, grid-side, and load-side. This research further extends to SEP methods tailored to address the challenges of high-RES integration, including medium- and long-term energy balance, power balance considering uncertainties, real-time security support, and a detailed analysis of the corresponding models, algorithms, and storage technologies is also provided. Finally, the study explores emerging challenges related to power system decarbonization, the impacts of climate change, and the evolving energy storage market landscape. Furthermore, it proposes future research directions and development trends in SEP. © 2025 Elsevier Ltd

关键词： Energy transition

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Optimal Controller Design for Non-Affine Nonlinear Power systems with Static Var Compensators for Hybrid UAVs

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Tsinghua Science and Technology 2022年第1期27卷 196-206页

作者： Yanchu Li Qingqing Ding Shufang Li Stanimir Valtchev Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networkand School of Information&Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua UniversityBeijing 100084China the Nova School of Science and Technology(FCT/UNL) Caparica 2829-516LisbonPortugal Technical University of Sofia(TUS) Sofia 2125Bulgaria

A generalized non-affine nonlinear power system model is presented for a single machine bus power system with a Static Var Compensator(SVC)or state Var system(SVS)for hybrid Unmanned Aerial Vehicles(UAVs).The model is constructed by differential algebraic equations on the MATLAB-Simulink platform with the programming technique of its *** the inverse system method and the Linear Quadratic Regulation(LQR),an optimized SVC controller is *** simulations under three fault conditions show that the proposed controller can effectively improve the power system transient performance.

关键词： Static Var Compensator(SVC) Unmanned Aerial Vehicles(UAV) power system non-affine nonlinear control inverse system method Linear Quadratic Regulation(LQR)

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Spectrum efficiency maximization with trajectory design in UAV-enabled mobile relaying

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The Journal of China Universities of Posts and Telecommunications 2019年第4期26卷 17-24页

作者： Sun Chuanzhi Hu Zhiqun Wen Xiangming Lu Zhaoming Qi Hang Beijing Laboratory of Advanced Information Networks Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and TelecommunicationsBeijing 100876China School of Computer and Information Engineering Hubei UniversityWuhan 430062China

With the advantages of low cost and high mobility,unmanned aerial vehicles(UAVs)have played an important role in wireless *** investigate a UAV-enabled mobile relaying system,where a UAV is used as a mobile relay to assist in the communication from a ground source to a ground destination since their direct link is *** the conventional mobile relay in which the UAV adopts straight line or circular trajectory,we consider a more general elliptical trajectory and use realistic channel *** assuming that the UAV employs time-division duplexing(TDD)based decode-and-forward(DF)relaying,we jointly optimize the time allocations and the UAV trajectory to formulate the maximization of spectrum efficiency(SE).The simulation results show that the trajectory we designed achieves a higher SE than the optimal circular trajectory and static relaying.

关键词： UAV mobile relay time allocations elliptical trajectory

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