检索结果-内蒙古大学图书馆

Oscillatory Neural Networks: In Problems of parallel Information processing

2014年

作者： Margarita G. Kuzmina Eduard A. Manykin Evgeny S. Grichuk

ISBN: (数字)9783110269208

ISBN: (纸本)9783110268355

Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Besides adaptation and learning, which play a crucial role in brain functioning, oscillatory neural activity, synchronization and resonance accompany the brain work. Neural-like oscillatory network models, designed by the authors for image processing, allow to elucidate the capabilities of dynamical, synchronization-based types of image processing, presumably exploited by the brain. The oscillatory network models, studied by means of computer modeling and qualitative analysis, are presented and discussed in the book. Some other problems of parallel distributed information processing are also considered, such as a recall process from network memory for large-scale recurrent associative memory neural networks, performance of oscillatory networks of associative memory, dynamical oscillatory network methods of image processing with synchronization-based performance, optical parallel information processing based on the nonlinear optical phenomenon of photon echo, and modeling random electric fields of quasi-monochromatic polarized light beams using systems of superposed stochastic oscillators. This makes the book highly interesting to researchers dealing with various aspects of parallel information processing.

关键词： Human information processing. Neural networks (Neurobiology)

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A parallel algorithm for solving the eikonal equation

A parallel algorithm for solving the eikonal equation

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IEEE International conference on Acoustics, Speech, and Signal processing

作者： Dejnozková, E Dokládal, P Sch Mines Paris Ctr Math Morphol F-77300 Fontainebleau France

ISBN: (纸本)0780376633

A large variety of methods based on Partial Differential Equations (PDE) use the interface propagation. For their flexibility these methods are being more and more applied to various problems ranging from physics, fluid mechanics to control theory and computer vision. The solution of the PDE-based interface evolution is in itself a complex iterative computational task involving a great number of iterations (unknown a priori). Therefore, these applications are very demanding on the hardware and their real-time implementation is still a challenging problem. An efficient implementation could be done by using a specific parallel architecture. This paper proposes an original, entirely parallel algorithm to solve the Eikonal equation. Which is the base of applications using a weighted distance function. This algorithm allows the parallel implementation of active contours methods or continuous watershed on a specific hardware.

关键词： image processing

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RESEARCH ON parallel CONE-BEAM CT image RECONSTRUCTION ON CUDA-ENABLED GPU

RESEARCH ON PARALLEL CONE-BEAM CT IMAGE RECONSTRUCTION ON CU...

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IEEE International conference on image processing

作者： Sun, Yigang Sun, Xiuyu Zhang, Hongying Civil Aviat Univ China Coll Aeronaut Automat Tianjin 300300 Peoples R China

ISBN: (纸本)9781424479948

Computed tomography (CT) image reconstruction algorithms via graphic processing unit (GPU) have recently attracted much public attention. These methods often adopt cached texture memory to reduce GPU's high memory latency. However, these texture-based methods still have low efficiency because of their low cache hit rates. By studying threads' execution model on GPU, this paper proposes an accelerating scheme based on the degree of streaming multiprocessor level parallelism. This parallel strategy could make simultaneously executing threads in each multiprocessor have closer localities of memory accesses to improve the utilization of cached texture memory. Experiment results indicate that our accelerating scheme could reduce the computing time by 20%-30% for both forward-and backward-projections on GPU.

关键词： computed tomography forward-projection backprojection CT reconstruction GPU texture cache optimization

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Solving a media mapping problem in a hierarchical server network with parallel simulated annealing

Solving a media mapping problem in a hierarchical server net...

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International conference on parallel processing (ICPP 2000)

作者： Zhou, XB Lüling, R Xie, L Univ Gesamthsch Paderborn Paderborn Ctr Parallel Comp D-33102 Paderborn Germany

ISBN: (纸本)0769507689

Advances in storage and high-speed broadband communication,network technologies are making it feasible to design and implement distributed scalable Video-on-Demand structure networks. In this paper;a hierarchical structure for a server network is proposed to support a metropolitan TV-Anytime service. A key issue, how to map the media assets onto such a hierarchical sen,er network, is addressed in this paper: The definition and heuristic methods for the solution of this new combinatorial optimization problem are presented. The mapping problem studied here addresses the management of media assets taking the storage capacity: communication bandwidth limitation and access pattern into account. The methods presented in this payer are based on parallel simulated annealing and are verified by the use of a set of benchmark instances. The results show that the methods provide a near to optimal performance in terms of the Quality of Service (QoS).

关键词： Bandwidth Computational modeling Intelligent networks Large-scale systems Multimedia systems Network servers parallel processing Quality of service Simulated annealing Streaming media

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Model-integrated program synthesis environment for parallel/real-time image processing

Model-integrated program synthesis environment for parallel/...

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parallel and distributed methods for image processing

作者： Moore, Michael S. Sztipanovitz, Janos Karsai, Gabor Nichols, James A. Vanderbilt University Measurement and Computing Systems Laboratory 400 24th Ave S. Nashville TN 37235 United States

In this paper, it is shown that, through the use of model- integrated program synthesis (MIPS), parallel real-time implementations of image processing data flows can be synthesized from high level graphical specifications. The complex details in inherent to parallel and real-time software development become transparent to the programmer, enabling the cost-effective exploitation of parallel hardware for building more flexible and powerful real-time imaging systems. The model integrated real-time image processing system (MIRTIS) is presented as an example. MIRTIS employs the multigraph architecture (MGA), a framework and set of tools for building MIPS systems, to generate parallel real-time image processing software which runs under the control of a parallel run-time kernel on a network of Texas Instruments TMS320C40 DSPs (C40s). The MIRTIS models contain graphical declarations of the image processing computations to be performed, the available hardware resources, and the timing constraints of the application. The MIRTIS model interpreter performs the parallelization, scaling, and mapping of the computations to the resources automatically or determines that the timing constraints cannot be met with the available resources. MIRTIS is a clear example of how parallel real-time image processing systems can be built which are (1) cost-effectively programmable, (2) flexible, (3) scalable, and (4) built from commercial off-the-shelf (COTS) components. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： image processing

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Brain Tumor Segmentation by Texture Feature Extraction with the parallel Implementation of Fuzzy C-Means using CUDA on GPU 5

Brain Tumor Segmentation by Texture Feature Extraction with ...

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5th IEEE International conference on parallel, distributed and Grid Computing (PDGC)

作者： Saxena, Sanjay Shama, Suraj Int Inst Informat Technol Bhubaneswar IIIT Bhuban Dept Comp Sci & Engn Bhubaneswar India

ISBN: (纸本)9781728106465

Exact segmentation of the brain tumor is one of the imperative tasks in medical image processing and its analysis as it deals with extracting the information of the tumorous region from the brain MRI sequences. Automated segmentation and detection of brain tumors from the brain MRI is an exigent issue caused by the texture, size, shape, and location. In this paper, a significant method of brain tumor segmentation from the FLAIR MRI sequences is by classifying local window followed by parallel fuzzy c means clustering. Fuzzy c- means methods have shown their efficiency in extracting a variety of objects in several medical image processing applications. However, one of the major issues of these algorithms is high computational requirements at the time of dealing with large data set. Nowadays, NVIDIA's GPU plays an extremely essential role in implementing such time-consuming algorithms to reduce the time complexity. Our experiments based on NCI-MICCAI BRATS 2017 FLAIR MRI of HGG (High-Grade Glioma) demonstrate the efficiency of the implemented parallel algorithm. For the segmentation of tumorous region, a mechanism of sliding window is implemented on CPU (host) in which a 45 X 45 sized window is taken to classify whether that particular window is having tumor region or not. For perfect segmentation at the GPU (device) side, fuzzy c means technique is used to get the exact location of the tumor. Approx 17.6 speed up obtained, for the BRATS data sets over the implementation of the algorithm on CPU. Apart from speed up significant dice similarity coefficients are obtained which shows the efficient segmentation in the reasonable time.

关键词： Brain Tumor Segmentation Computed Unified Device Architecture Graphics processing Unit High Performance Computing Texture Feature Extraction Fuzzy C-means

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parallel discrete event processing of sequential computations

Parallel discrete event processing of sequential computation...

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IEEE International conference on parallel and distributed Systems

作者： Kalantery, N Univ Westminster London W1M 8JS England

ISBN: (纸本)0818682272

Previous proposals for the application of discrete Event methods to parallelization of sequential software have been based on the optimistic execution strategy. In this paper we present a new method which avoids optimistic execution. This is motivated by the observation that the control structure of a sequential program constitutes a temporal co-ordinate system which is exogenous to the program execution. The method employs a logical time mechanism and provides adaptive synchronisation for the distributed execution. Hence Data dependent and/or conditional parallelism is released without the risk of coherency violation. The paper begins with a brief introduction to parallel discrete event simulation paradigm. Efficient coarse grain mapping of conventional programs onto this paradigm is then discussed.

关键词： parallel processing systems

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Towards an efficient single system image cluster operating system

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2004年第4期20卷 505-521页

作者： Morin, C Gallard, P Lottiaux, R Vallée, G IRISA INRIA Paris Project Team F-35042 Rennes France EDF Ind Branch Div Res & Dev F-92141 Clamart France

The lack of a single system image Operating System (OS) for clusters restricts their use for parallel processing. We propose an approach for building an efficient single system image cluster operating system. The proposed system implements distributed services performing global and dynamic resource management to offer high performance, high availability and ease of use and programming. The programming API of the OS running on each cluster node is kept unmodified but the high level OS services can take benefit of all cluster resources. Our approach has been validated by a prototype based on Linux. Our prototype comprises of a limited kernel patch and a set of modules extending the kernel to implement the cluster distributed services. Existing applications running on symmetric multiprocessors (SMP) on top of Linux can be executed on top of our cluster OS without modification. (C) 2003 Elsevier B.V. All rights reserved.

关键词： cluster operating system distributed system Single System image

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Tuning the efficiency of parallel adaptive integration with synchronizers

Tuning the efficiency of parallel adaptive integration with ...

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16th Euromicro International conference on parallel, distributed and Network-Based processing

作者： Borkowski, J. Tudruj, M. Polish Japanese Inst Informat Technol 86 Koszykowa Str PL-02008 Warsaw Poland

ISBN: (纸本)9780769530895

High efficiency in parallel adaptive integration is difficult to achieve. Dependencies between integration regions are dynamic and therefore dynamic region redistribution is necessary. In our approach, we employ a control infrastructure designed to support parallel application global state monitoring. It includes monitors (called synchronizers), which observe application global states and take control decisions based on predicates computed on global states. Region redistribution strategy Is implemented inside the monitors. The most and least loaded processes are selected and ordered to level their loads by region exchange. The paper shows that this strategy can work well, underlining some important factors, which influence the performance. Two methods' which aim at eliminating excessive region transfers, are presented. It is also shown, that good parallel efficiency can be obtained easier if interprocessor network supports efficient transmissions of large data packets. The problem of finding an optimal communication frequency between computing processes has been much reduced - it is enough if processes report their local load reasonably often.

关键词： Integration

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High-Performance parallel Fault Simulation for Multi-Core Systems 29

High-Performance Parallel Fault Simulation for Multi-Core Sy...

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29th Euromicro International conference on parallel, distributed and Network-Based processing (PDP)

作者： Karami, Masoomeh Haghbayan, Mohammad-hashem Ebrahimi, Masoumeh Nejatollahi, Hamid Tenhunen, Hannu Plosila, Juha Univ Turku Dept Future Technol Turku Finland KTH Royal Inst Technol Dept Elect & Embedded Syst Kista Sweden Univ Calif Irvine Irvine CA USA

ISBN: (纸本)9781665414555

Fault simulation is a time-consuming process that requires customized methods and techniques to accelerate it. Multi-threading and Multi-core approaches are two promising techniques that can be exploited to accelerate the fault simulation process by using different parts of the hardware at the same time. However, an efficient parallelization is obtained only by the refinement of software with respect to the hardware platform. In this paper, a parallel multi-thread fault simulation technique is proposed to accelerate the simulation process on multi-core platforms. In this approach, the gate input values are independently assigned to each thread. Each input value carries the information of several parallel simulation processes. This provides a multithread parallel fault simulation environment. The experimental results show that the proposed technique can efficiently use the hardware platform. In a single-core platform. the proposed technique can reduce the time by 25% while in a dual-core increasing the thread approximately halves the execution time.

关键词： Multi-core system multi-threading parallelization fault simulation

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