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检索条件"任意字段=Conference on Parallel and Distributed Methods for Image Processing"

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parallel COREGISTRATION ALGORITHM FOR SAR imageS BASED ON HADOOP

PARALLEL COREGISTRATION ALGORITHM FOR SAR IMAGES BASED ON HA...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Li, Jiawei Zeng, Guobing Xu, Huaping Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China

ISBN: (纸本)9798350320107

As the availability of SAR images continues to grow, efficient coregistration of massive SAR images presents a greater challenge. Traditional serial coregistration methods impose an unbearable time overhead. To reduce this overhead and make full use of computing resources, a parallel coregistration strategy based on Hadoop is proposed for SAR images. The Hadoop distributed File System (HDFS) is used to store SAR image data in chunks, and Hadoop's distributed computing strategy MapReduce is used to realize distributed parallel processing of SAR images. Two distributed parallel coregistration methods are presented with the proposed parallel strategy: one based on the maximum correlation method and the other on the DEM-assisted coregistration method. These methods are evaluated through coregistration experiments on the same dataset, and they are verified by comparing the coregistration results and processing time.

关键词： SAR Hadoop parallel Coregistration

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Approximate Query processing Using Wavelets in OLAP with Arbitrarily Sized Data and Bounded Errors 24

Approximate Query Processing Using Wavelets in OLAP with Arb...

引用

24th Euromicro International conference on parallel, distributed, and Network-Based processing (PDP)

作者： Burdakov, A. Grigorev, U. Ukharov, A. Ploutenko, A. Bauman Moscow State Tech Univ Moscow Russia Amur State Univ Blagoveshchensk Amurskaya Obl Russia

ISBN: (纸本)9781467387767

Analysis of the existing techniques for approximate query processing of Big Data, based on sampling, histograms and wavelets, demonstrates that wavelet-based methods can be effectively utilized for OLAP purposes due to their advantages in terms of handling multidimensional data and querying single cells as well as aggregate values from a data warehouse. At the same time the current wavelet-based methods for approximate query processing have certain deficiencies making difficult to implement them in practice. In particular, most of the techniques struggle with arbitrarily size data either imposing a restriction on a dimension length to be a multiple of a power of two, or complicating decomposition algorithms what leads to the construction time increase and difficulties with error estimations. Also, there is a lack of methods for approximate processing based on wavelets with a bounded error and a confidence interval for both single and aggregate values. Our contribution in this paper is introduction of a new wavelet method for approximate query processing which handles arbitrarily sized multidimensional datasets with minor extra calculations and provides a bounded error of the single or aggregate value reconstruction. It is demonstrated that the new method allows evaluating a confidence interval of the query error depending on a given compression ratio of a data warehouse or performing an inverse task, i.e. evaluating the required data warehouse compression ratio for a given allowable error. The introduced method was applied and verified over real epidemiological datasets to support research in finding correlations and patterns in disease spread and clinical signs correlations. It was demonstrated that the accuracy of the estimated error is acceptable for retrieving single and aggregate value, query time processing advantage depends on compression ratio and volume of the processed data.

关键词： Wavelet transform approximate query processing bounded error

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Techniques for achieving high performance Web servers

Techniques for achieving high performance Web servers

引用

International conference on parallel processing (ICPP 2000)

作者： Nadimpalli, S Majumdar, S Carleton Univ Dept Syst & Comp Engn Ottawa ON K1S 5B6 Canada

ISBN: (纸本)0769507689

With increasing bandwidth available to the client and the number of users growing at an exponential rate the Web server can become a performance bottleneck. This paper considers the parallelization of requests to Web pages each of which is composed of a number of embedded objects. The performance of systems in which the embedded objects are distributed across multiple backend servers are analyzed. parallelization of Web requests gives rise to a significant improvement in performance. Replication of servers is observed to be beneficial especially when the embedded objects in a Web page are not evenly distributed across servers. Load balancing policies used by the dispatcher of Web page requests are investigated A simple round robin policy for backend server selection gives a better performance compared to the default random policy used by the Apache server.

关键词： Bandwidth image databases Network servers Performance analysis Round robin System performance Systems engineering and theory Web pages Web server Web sites

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Grid computing and ChinaGrid project

Grid computing and ChinaGrid project

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34th International conference on parallel processing (ICPP)

作者： Jin, H Huazhong Univ Sci & Technol Cluster & Grid Comp Lab Wuhan 430074 Peoples R China

ISBN: (纸本)0769523811

Grid computing presents a new trend to distributed computing and Internet applications, which can construct a virtual single image of heterogeneous resources, provide uniform application interface and integrate widespread computational resources into super, ubiquitous and transparent aggregation. ChinaGrid project, founded by Ministry of Education of China, Is a success attempt to achieve above goals by exploring various resources on existing and well developed internet infrastructure, CERNET (China Education and Research Network). In this talk, I will introduce the general picture of ChinaGrid project, its vision and mission. The middleware design of ChinaGrid project, ChinaGrid Support Platform, called CGSP, is also discussed briefly. To illustrate the reality of ChinaGrid project, five different grid computing applications and its application supporting platform are discussed in detail. © 2005 IEEE.

关键词： distributed computer systems

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An Adaptive distributed Resampling Algorithm with Non-Proportional Allocation

An Adaptive Distributed Resampling Algorithm with Non-Propor...

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IEEE International conference on Acoustics, Speech and Signal processing (ICASSP)

作者： Demirel, Oemer Smal, Ihor Niessen, Wiro Meijering, Erik Sbalzarini, Ivo F. Max Planck Inst Mol Cell Biol & Genet CSBD MOSAIC Grp Pfotenhauerstr 108 D-01307 Dresden Germany

ISBN: (纸本)9781479928934

The distributed resampling algorithm with non-proportional allocation (RNA) [1] is key to implementing particle filtering applications on parallel computer systems. We extend the original work by Bolic et al. by introducing an adaptive RNA (ARNA) algorithm, improving RNA by dynamically adjusting the particle-exchange ratio and randomizing the process ring topology. This improves the runtime performance of ARNA by about 9% over RNA with 10% particle exchange. ARNA also significantly improves the speed at which information is shared between processing elements, leading to about 20-fold faster convergence. The ARNA algorithm requires only a few modifications to the original RNA, and is hence easy to implement.

关键词： distributed resampling particle filter parallel computing tracking image processing

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parallel Huffman Decoding: Presenting a Fast and Scalable Algorithm for Increasingly Multicore Devices 15

Parallel Huffman Decoding: Presenting a Fast and Scalable Al...

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15th IEEE International Symposium on parallel and distributed processing with Applications (ISPA) / 16th IEEE International conference on Ubiquitous Computing and Communications (IUCC)

作者： Johnston, Beau McCreath, Eric C. Australian Natl Univ Res Sch Comp Sci Canberra ACT Australia

ISBN: (纸本)9781538637906

Huffman encoding provides a simple approach for lossless compression of sequential data. The length of encoded symbols varies and these symbols are tightly packed in the compressed data. Thus, Huffman decoding is not easily parallelisable. This is unfortunate since it is desirable to have a parallel algorithm which scales with the increased core count of modern systems. This paper presents a parallel approach for decoding Huffman codes which work by decoding from every location in the bit sequence then concurrently combining the results into the uncompressed sequence. Although requiring more operations than serial approaches the presented approach is able to produce results marginally faster, on sufficiently large data sets, then that of a simple serial implementation. This is achieved by using the large number of threads available on modern GPUs. A variety of implementations, primarily OpenCL, are presented to demonstrate the scaling of this algorithm on CPU and GPU hardware in response to cores available. As devices with more cores become available, the importance of such an algorithm will increase.

关键词： Decoding Program processors Hardware Partitioning algorithms Multicore processing Encoding image coding

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A Unified Framework for Building High Performance DVEs

A Unified Framework for Building High Performance DVEs

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International conference on Graphic and image processing (ICGIP)

作者： Lei, Kaibin Ma, Zhixia Xiong, Hua SW Univ Nationalities Coll Comp Sci & Technol Chengdu Peoples R China Hangzhou Real Time Digital Media Co Ltd Virtual Real Grp Hangzhou Peoples R China

ISBN: (纸本)9780819489326

A unified framework for integrating PC cluster based parallel rendering with distributed virtual environments (DVEs) is presented in this paper. While various scene graphs have been proposed in DVEs, it is difficult to enable collaboration of different scene graphs. This paper proposes a technique for non-distributed scene graphs with the capability of object and event distribution. With the increase of graphics data, DVEs require more powerful rendering ability. But general scene graphs are inefficient in parallel rendering. The paper also proposes a technique to connect a DVE and a PC cluster based parallel rendering environment. A distributed multi-player video game is developed to show the interaction of different scene graphs and the parallel rendering performance on a large tiled display wall.

关键词： distributed virtual environment parallel rendering scene graph

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A GENETIC ALGORITHM FOR SIDE INFORMATION ENHANCEMENT IN distributed VIDEO CODING

A GENETIC ALGORITHM FOR SIDE INFORMATION ENHANCEMENT IN DIST...

引用

16th IEEE International conference on image processing

作者： Yaacoub, Charles Farah, Joumana Pesquet-Popescu, Beatrice Holy Spirit Univ Kaslik Fac Sci & Comp Engn Jounieh Lebanon Telecom Paris Tech Signal & Image Proc Dept Paris France

ISBN: (纸本)9781424456536

This work aims at improving the quality of the side information in distributed video coding. Based on genetic algorithms, our proposed technique combines several frames, interpolated using previously developed methods, in a fusion-based approach. Simulation results show a significant improvement in the side information quality compared to other interpolation techniques available in the literature, which greatly improves the rate-distortion performance of a distributed video codec, where the gain in PSNR can reach 6dB.

关键词： distributed video coding frame interpolation genetic algorithms side information Wyner-Ziv coding

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Detecting Data-parallel Synchronous Dataflow Graphs

Detecting Data-Parallel Synchronous Dataflow Graphs

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conference on Design and Architectures for Signal and image processing (DASIP)

作者： Kanur, Sudeep Lilius, Johan Ersfolk, Johan Abo Akad Univ Domkyrkotorget 3 SF-20500 Turku Finland

ISBN: (纸本)9781538635346

Synchronous Dataflow (SDF), a popular subset of the dataflow programming paradigm, gives a well structured formalism to capture signal and stream processing applications. With data-parallel architectures becoming ubiquitous, several frameworks leverage the SDF formalism to map applications to parallel architectures. But, these frameworks assume that the Synchronous Dataflow graphs (SDFGs) under consideration already are data-parallel. In this paper, we address the lack of mechanisms required to detect if an SDFG can be executed in a data-parallel fashion. We develop necessary and sufficient conditions that an SDFG must satisfy for its data-parallel execution. In addition, we develop methods that detect and transform SDFGs that cannot be determined to be data-parallel through visual graph inspection alone. We report on a prototype implementation of the developed conditions as a compiler pass in PREESM framework and test them against some useful applications expressed as an SDFG.

关键词： Level set Delays Computer architecture Pins Production Prototypes Tools

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Stream processing of Integral images for Real-Time Object Detection

Stream Processing of Integral Images for Real-Time Object De...

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9th International conference on parallel and distributed Computing, Applications and Technologies

作者： Messom, Chris Barczak, Andre Massey Univ Auckland New Zealand

ISBN: (纸本)9780769534435

This paper presents the design and evaluation of the stream processing implementation of the Integral linage algorithm. The Integral linage is a key component of many image processing algorithms in particular the Haar-like feature based systems. Modern GPUs provide a large number of processors with a peak floating point performance that is significantly higher than current general CPUs. This results in significant performance improvement when the Integral linage calculation for large input images is off loaded onto the GPU of the system.

关键词： Program processors

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