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Parallel Distributed CFAR Detection Optimization Based on Genetic Algorithm with Interval Encoding 认领 引用 被引量：1
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作者 于泽 周荫清 《Chinese Journal of Aeronautics》 SCIE EI CAS 2010年第3期351-358,共8页
Aiming at parallel distributed constant false alarm rate （CFAR） detection employing K/N fusion rule,an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilitie... Aiming at parallel distributed constant false alarm rate （CFAR） detection employing K/N fusion rule,an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilities of false alarm are selected as optimization variables. And the encoding intervals for local false alarm probabilities are sequentially designed by the person-by-person optimization technique according to the constraints. By turning constrained optimization to unconstrained optimization,the problem of increasing iteration times due to the punishment technique frequently adopted in the genetic algorithm is thus overcome. Then this optimization scheme is applied to spacebased synthetic aperture radar （SAR） multi-angle collaborative detection,in which the nominal factor for each local detector is determined. The scheme is verified with simulations of cases including two,three and four independent SAR systems. Besides,detection performances with varying K and N are compared and analyzed. 展开更多
关键词 parallel processing systems synthetic aperture radar detectors genetic algorithms optimization encoding
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APPLICATION OF MVP IN REAL TIME IMAGE PROCESSING 认领 引用
2
作者 戴擎宇 杨占昕 何佩琨 《Chinese Journal of Aeronautics》 EI CAS 2000年第1期30-33,共4页
MVP is a digital signal processor, which is of MIMD structure and fit for multimedia application. MVP has several processors in it, and its operation is characteristic of parallelism and pipeline; therefore, real-time... MVP is a digital signal processor, which is of MIMD structure and fit for multimedia application. MVP has several processors in it, and its operation is characteristic of parallelism and pipeline; therefore, real-time signal processing can be done on it. This paper presents the image processing system based on MVP, explains the principles of parallel task assignment and hardware pipeline design, and gives out the example of target tracking and edge detection. 展开更多
关键词 Computer hardware Edge detection Image processing MIM devices Multimedia systems Parallel processing systems Random access storage
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Parallel Algorithm Case Study Using Virtual Machine 认领 引用
3
作者 Zhang, Gongqing 《Journal of Systems Engineering and Electronics》 EI 1997年第3期51-59,共9页
This paper takes the Sobel operator as example to study parallel sequential algorithm onto a memory-sharing multiprocessor by using a virtual machine. Several different parallel algorithms using function decomposition... This paper takes the Sobel operator as example to study parallel sequential algorithm onto a memory-sharing multiprocessor by using a virtual machine. Several different parallel algorithms using function decomposition and/or data decomposition methods are compared and their performances are analyzed in terms of processor utilization, data traffic, shared memory access, and synchronization overhead. The analysis is validated through a simulation experiment on the virtual machine of 64 parallel processors. Conclusions are presented at the end of this paper. 展开更多
关键词 Computer simulation Data processing Data storage equipment Image processing Parallel processing systems Synchronization Telecommunication traffic
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Simulation Modeling by Fuzzy Nets 认领 引用
4
作者 Xingui, He 《Journal of Systems Engineering and Electronics》 EI 1993年第4期25-31,共7页
Fuzzy technology is a newly developed discipline based on fuzzy mathematics. In the recent years, it has been successfully applied into many areas, such as process control, diagnosis, evaluation, decision making and s... Fuzzy technology is a newly developed discipline based on fuzzy mathematics. In the recent years, it has been successfully applied into many areas, such as process control, diagnosis, evaluation, decision making and scheduling, especially in simulation where accurate mathematical models can not or very hard be established. In this paper, to meet the demands of fuzzy simulation, two fuzzy nets will first be presented, which are quite suitable for modeling the parallel or concurrent systems with fuzzy behavior. Then, a concept of active simulation will be introduced, in which the simulation model not only can show its fuzzy behavior, but also has a certain ability which can actively perform many very useful actions, such as automatic warning, realtime monitoring, simulation result checking, simulation model self-adapting, error recovery, simulating path tracing, system states inspecting and exception handling, by a unified approach while some specified events occur. The simulation model described by this powerful simulation modeling tool is concurrently driven by a network interpreter and an event monitor that all can be implemented by software or hardware. Besides, some interesting applications are given in the paper. 展开更多
关键词 Computer hardware Computer software Decision theory Fuzzy sets Mathematical models Monitoring Parallel processing systems Petri nets Process control Random processes Scheduling
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Status,challenges and trends of data‑intensive supercomputing 认领 引用 被引量：2
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作者 Jia Wei Mo Chen +9 位作者 Longxiang Wang Pei Ren Yujia Lei Yuqi Qu Qiyu Jiang Xiaoshe Dong Weiguo Wu Qiang Wang Kaili Zhang Xingjun Zhang 《CCF Transactions on High Performance Computing》 2022年第2期211-230,共20页
Supercomputing technology has been supporting the solution of cutting-edge scientific and complex engineering problems since its inception—serving as a comprehensive representation of the most advanced computer hardw... Supercomputing technology has been supporting the solution of cutting-edge scientific and complex engineering problems since its inception—serving as a comprehensive representation of the most advanced computer hardware and software technologies over a period of time.Over the course of nearly 80 years of development,supercomputing has progressed from being oriented towards computationally intensive tasks,to being oriented towards a hybrid of computationally and data-intensive tasks.Driven by the continuous development of high performance data analytics(HPDA)applications—such as big data,deep learning,and other intelligent tasks—supercomputing storage systems are facing challenges such as a sudden increase in data volume for computational processing tasks,increased and diversified computing power of supercomputing systems,and higher reliability and availability requirements.Based on this,data-intensive supercomputing,which is deeply integrated with data centers and smart computing centers,aims to solve the problems of complex data type optimization,mixed-load optimization,multi-protocol support,and interoperability on the storage system—thereby becoming the main protagonist of research and development today and for some time in the future.This paper first introduces key concepts in HPDA and data-intensive computing,and then illustrates the extent to which existing platforms support data-intensive applications by analyzing the most representative supercomputing platforms today(Fugaku,Summit,Sunway TaihuLight,and Tianhe 2A).This is followed by an illustration of the actual demand for data-intensive applications in today’s mainstream scientific and industrial communities from the perspectives of both scientific and commercial applications.Next,we provide an outlook on future trends and potential challenges data-intensive supercomputing is facing.In a word,this paper provides researchers and practitioners with a quick overview of the key concepts and developments in supercomputing,and captures the current and future data-intensive supercomputing research hotspots and key issues that need to be addressed. 展开更多
关键词 Data-intensive supercomputing I/O intensive supercomputing High performance data analytics Parallel processing systems Supercomputing storage
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