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Seventh International conference on parallel and distributed Computing, Applications and Technologies-Title

Seventh International Conference on Parallel and Distributed...

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IEEE International conference on parallel and distributed Computing, Applications and Technologies (PDCAT)

The following topics are dealt with: parallel computing; distributed computing; interconnection networks; communication and telecommunication; image processing and computer graphics; access control and authorization; wireless networks and mobile computing; database applications and data mining; parallelizing compilers; parallel/distributed architectures; intelligent computing and neural networks; Internet computing; network routing and communication algorithms; Web technologies; ubiquitous computing systems; task mapping and job scheduling; security protocols; computer networks; formal methods and programming languages; intrusion detection and survivability; grid computing systems; applied cryptography; P2P and ad hoc networks; and reliability and fault-tolerance

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Acceleration of maximum likelihood estimation for tomosynthesis mammography

Acceleration of maximum likelihood estimation for tomosynthe...

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International conference on parallel and distributed Systems (ICPADS)

作者： Juemin Zhang W. Meleis D. Kaeli Tao Wu Electrical and Computer Engineering Northeastern University Boston MA USA Radiology Department Massachusetts General Hospital Boston MA USA

Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of high-resolution projection images, which is both compute-intensive and time-consuming. This workload is presently a bottleneck in the accurate diagnosis of breast cancer during screening. This paper presents our parallelization work on an ML algorithm using three different partitioning models: no inter-communication, overlap with inter-communication and non-overlap model. These models are evaluated to obtain the best reconstruction performance given a range of computing environments with different computational power and network speed. Our test results show that the non-overlap method outperforms the other two methods on all five computing platforms evaluated. This parallelization of ML has enabled tomosynthesis to become a viable technology in the breast screening clinic, reducing reconstruction time from 3 hours on a PentiumIVworkstation to 6 minutes on a 32-node PentiumIV cluster

关键词： Acceleration Maximum likelihood estimation Mammography image reconstruction X-ray imaging Breast Cancer X-ray detectors Hospitals Maximum likelihood detection

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Achieving fast fractal image compression using spiral architecture

Achieving fast fractal image compression using spiral archit...

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International conference on parallel and distributed processing Techniques and Applications

作者： Liu, D He, XJ Dalian Maritime Univ Inst Naut Sci & Technol Dalian 116026 Liaoning Peoples R China

ISBN: (纸本)1932415610

Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system. n this novel architecture, Spiral Addition and Multiplication achieve image processing. As we all nown, fractal image compression methods have maximal image compression ratio, at the cost Of slow coding speed. This paper presents an algorithm to achieve high image compression ratio without slow coding speed on Spiral Architecture, which also improves the Spiral Architecture s usage in image processing.

关键词： image compression spiral architecture fractals distributed image processing

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A review on fractal image compression coding and some improvement measures

A review on fractal image compression coding and some improv...

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2005 International conference on parallel and distributed processing Techniques and Applications, PDPTA'05

作者： Shu-Guang, Ji Liu, Dan Zhangzhang Institute of Nautical Science Technology Dalian Maritime University Dalian Liaoning 116026 China

ISBN: (纸本)9781932415582

A review on the fractal image compression coding and the improvement measures are provided in this paper. The development process of the fractal image compression coding is introduced briefly. Some basic mathematic theories about the fractal image compression coding are given. The main problems which exist in the fractal compression coding bring into focus. Some traditional and new methods about the fractal image compression coding are discussed. The advantages and disadvantages of these methods are comprehensively analy ed. And the mixture of these methods is concerned. It is believed that the fractal image compression coding will be one of the most effective methods in the field of digital image coding.

关键词： Fractals

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A proposal of parallel strategy for global wavelet-based registration of remote-sensing images

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6th International conference on Algorithms and Architectures for parallel processing

作者： Zhou, HF Tang, Y Yang, XJ Liu, HZ Natl Univ Def Technol Sch Comp Changsha Peoples R China

ISBN: (纸本)3540292357

With the increasing importance of multiple multiplatform remote sensing missions, digital image registration has been applied into many fields, and specially plays a very important role in remotely sensed data processing. Firstly a brief introduction of existing parallel methods of wavelet-based global registration is given. And then the communication optimization for GP method is described. The optimized algorithm is named Group-Optimized-parallel (GOP for short). To find out the reason of occasionally lower efficiency of GOP than other methods, a more careful analysis is presented in theory and proved in experiments. Moreover, we give a quantitative criterion, called Remainder Items, to choose the best solution in different input conditions.

关键词： image processing

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QoS resource management for cluster-based image retrieval systems

QoS resource management for cluster-based image retrieval sy...

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2005 International conference on parallel and distributed processing Techniques and Applications, PDPTA'05

作者： Bruning, A. Geisler, S. Hoefer, M. Kao, O. Department of Computer Science Technical University of Clausthal Germany Department of Computer and Information Science University of Konstanz Germany Department of Computer Science Paderborn University Germany

ISBN: (纸本)9781932415582

This paper presents a novel concept for resource management in cluster-based image retrieval systems. First, the paper describes image retrieval using static and dynamic feature extraction. The complexity of dynamic feature extraction requires the utilization of powerful parallel architectures and in order to provide the user with reasonable response times. Most existing methods for resource management in parallel image retrieval systems are based on sinlge query execution and do not take quality of service (QoS) aspects into account. This appears not to be practical in large-scale and commercial applications of image databases having a large number of users at any time. In order to allow an efficient utilization of the parallel system and to meet user-defined QoS demands associated with queries, we need to develop a new concept and a novel resource management architecture. Interesting aspects of the model include utility theory, flexible computations, QoS levels, and a hierarchical resource management architecture. Finally, an approach for algorithmic solution is described.

关键词： Quality of service

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Proceedings: 2005 International conference on parallel processing Workshops

Proceedings: 2005 International Conference on Parallel Proce...

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International conference on parallel processing Workshops 2005, ICPP 2005

The proceedings contain 74 papers. The topics discussed include: web services composition for distributed data mining;how to run scientific applications over web services;resource management services for a grid analysis environment;a comparison of two methods for building astronomical image mosaics on a grid;gene sequence alignment on a public computing platform;parallel module network learning on distributed memory multiprocessors;a scalable parallel poisson solver in three dimensions with infinite-domain boundary conditions;factoring solution sets of polynomial systems in parallel;a programmable array processor architecture for flexible approximate string matching algorithms;and speculative parallel threading architecture and compilation.

关键词： World Wide Web

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The prospects for hierarchical data processing with growing complexity of the post-tapeout flow

The prospects for hierarchical data processing with growing ...

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conference on Design and Process Integration for Microelectronic Manufacturing iii

作者： Schulze, S Sahouria, E Mentor Graph Corp Wilsonville OR 97070 USA

ISBN: (纸本)0819457361

The drive of the semiconductor industry towards smaller and smaller features sizes requires more sophisticated correction methods to guarantee the final tolerances for the etched features in both wafer manufacturing and mask making. The wavelength gap in lithography and process effects as well as dependencies on the design content have led to the tremendous variety of resolution enhancement techniques and process correction approaches that are currently applied to a design on its path to manufacturing. As the 65nm nodes become production ready and the 45nm node shifts into the focus of the development effects like flare in wafer exposure, fogging effects in ebeam mask exposure and others that previously could be ignored are becoming significant so that their correction prior to manufacturing is required. That means additional correction steps are necessary to complete the data preparation. These put a larger burden on the data processing path and raise concerns over data volume and processing time limitations. Hierarchical processing methods have proven very effective in the past to keep data volumes and processing time in control. The paper explores the design trends and the potential of hierarchical processing under the new circumstances. Extended data flows with a variety of correction steps are investigated. Experimental results that demonstrate the benefit of hierarchical methods in conjunction with parallel processing methods like multithreading and distributed processing are provided. The benefit of introducing more effective data formats like OASIS in these flows will be illustrated.

关键词： mask data preparation hierarchical processing distributed multithreaded OASIS OASIS NSB

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parallel computation of adjoint sensitivities for 3D n optical image reconstruction

Parallel computation of adjoint sensitivities for 3D n optic...

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2005 International conference on parallel and distributed processing Techniques and Applications, PDPTA'05

作者： Ye, Y. Zhang, C. Ali, A. Qiao, J. Department of Computational Science and Statistics University of Southern Mississippi Hattiesburg MS United States Department of Mathematics Computer Science and Physics Converse College Spartanburg SC United States

ISBN: (纸本)1932415602

One of the most significant challenges in fluorescence-enhanced optical tomography is the repeated calculation of Jacobian sensitivity matrix. An adjoint sensitivity method is more computationally efficient than other methods to compute the sensitivity, but its serial implementation is not sufficient for real-time large scale 3D reconstruction system due to the intensive computation overhead of the inverse problem and the limitation of the single computer resources. A vectorized implementation of a sequential algorithm has been applied for adjoint sensitivity computation on a single computer. In this paper, we present an extension of this algorithm to parallel computing environment, in which mesh data decomposition is used to compute the Jacobian matrix over multiple processors. We discuss and compare the performance of the parallel algorithm implemented on both the network of Dell PC workstations and the SGI Onyx3400 shared memory MIMD system.

关键词： Jacobian matrices

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Some new parallel fast Fourier transform algorithms

Some new parallel fast Fourier transform algorithms

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6th International conference on parallel and distributed Computing, Applications and Technologies, PDCAT 2005

作者： Zhong, Cui-Xiang Han, Guo-Qiang Huang, Ming-He School of Computer Science and Engineering South China University of Technology Guangzhou 510640 Guangdong China Software College Jiangxi Normal University Nanchang 330027Jiangxi China

ISBN: (纸本)0769524052

Discrete Fourier transform (DFT) has many applications in digital signal and image processing and other scientific and technological domains, but its time complexity of direct computation is O(n2), limiting greatly its application range. Thus many people have developed fast Fourier transform (FFT) algorithms, reducing the complexity from O(n2) to O(nlogn)(In this paper logn denotes log2n).But for large n, O(nlogn) is still very high. So multiprocessor systems have been used to speed up the computation of DFT. This paper first introduces a new general method to deduce FFT algorithms, then transforms the deduced second radix-2 decimation-in-time FFT algorithm into another parallelizable sequential form, and finally transforms the latter algorithm into a new parallel FFT algorithm, reducing the time complexity of DFT to O(nlogn/p) (where p is the number of processors). Using similar methods, the authors can also design other new parallel 1-D and 2-D FFT algorithms. © 2005 IEEE.

关键词： Discrete Fourier transforms

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