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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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A parallel Algorithm for Molecular Surface Matching Through image Representation

A Parallel Algorithm for Molecular Surface Matching Through ...

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Daniele D'Agostino Andrea Clematis Ivan Merelli Paolo Cozzi Luciano Milanesi Institute of Applied Mathematics and Information Technologies National Research Council Genoa Italy Institute of Biomedical Technologies National Research Council Milan Italy

An emerging application field for structure matching is related to in silico studies of molecular biology: considering that protein function is mainly related to its external morphology, the possibility to match macromolecular surfaces is very important to infer information about the interaction of biological components. In this work we present a parallel algorithm based on images of local description, originally designed for object recognition in robotics, which has been adapted to identify surface complementarities for screening the interaction possibilities of biological macromolecules. The results obtained show the good discrimination power of the proposed approach, coupled with high performance figures.

关键词： parallel algorithms image representation Surface morphology Proteins Councils Algorithm design and analysis Performance analysis Mathematics Information technology Object recognition

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Estimation Of Coronary Length-Volume Allometric Relations Of Human Arteries Invivo Using CT

Estimation Of Coronary Length-Volume Allometric Relations Of...

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32nd Annual International conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Casciaro, Mariano E. Craiem, Damian Graf, Sebastian Gurfinkel, Enrique P. Armentano, Ricardo L. Favaloro Univ Av Belgrano 1723 RA-1093 Buenos Aires DF Argentina Favaloro Fdn MSCT Unit RA-1093 Buenos Aires DF Argentina Consejo Nacl Invest Cient & Tecn Buenos Aires DF Argentina

ISBN: (纸本)9781424441242

Assessing the individual geometry of the coronary arteries in a patient can help to explain diffuse artery disease. Some allometric functions, relating arterial length and volume, were verified in porcine arteries and human autopsies but not in vivo. In this work we use skeletonization methods on MSCT images to render the whole coronary tree in healthy and cardiovascular patients. Twenty patients with and without coronary artery disease were recruited. The coronary was segmented with minimum user intervention. Vessels were separated and measured. A 3D coronary map was individually calculated. The allometric length-volume function L=k(v)V(beta) was evaluated in each patient and plotted in a Log-Log scale. The coefficient k(v) ranged 1.00 +/- 0.35. Slopes ranged beta = 0.69-0.88 and seemed to overlap in the scatter Log plot. The analysis of covariance verified this perception and concluded that lines were parallel. In other words, the allometric function stood for all patients. Values were not different from other studies in humans and pigs. The combination of multislice CT with morphological extraction algorithms was effective to extract allometric functions from coronary arteries in patients and can be easily applied in the clinic.

关键词： 3D coronary map CT Log-Log scale arterial length arterial volume blood vessels cardiovascular patients cardiovascular system computerised tomography coronary artery disease coronary length-volume allometric relations covariance analysis covariance analysis diffuse artery disease diseases feature extraction human arteries human autopsies image reconstruction image segmentation image segmentation medical image processing morphological extraction algorithms perception porcine arteries skeletonization methods

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Online, Recursive Estimation of Attention and Salient Regions in Visual Scenes

Online, Recursive Estimation of Attention and Salient Region...

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conference on Automatic Target Recognition XX - Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV - and Optical Pattern Recognition XXI

作者： Khosla, Deepak Huber, David J. HRL Labs LLC Malibu CA USA

ISBN: (纸本)9780819481603

This paper describes an algorithm and system for rapidly generating a saliency map and finding interesting regions and in large-sized (i.e., extremely high-resolution) imagery and video. Previous methods of finding salient or interesting regions have a fundamental shortcoming: they need to process the entire image before the saliency map can be outputted and are therefore very slow for large images. Any prior attempts at parallelizing this operation involve computing feature maps on separate processors, but these methods cannot provide a result until the entire image has been processed. Rather than employing a single-step process, our system uses a recursive approach to estimate the saliency, processing parts of the image in sequence and providing an approximate saliency map for these regions immediately. With each new part of the image, a series of normalization factors is updated that connects all image parts analyzed so far. As more of the image parts are analyzed, the saliency map of the previously analyzed parts as well as newly analyzed parts becomes more exact. In the end, an exact global saliency map of the entire image is available. This algorithm can be viewed as (1) a fast, parallelizable version of prior art, and/or (2) a new paradigm for computing saliency in large imagery/video. This is critical, as the analysis of large, high-resolution imagery becomes more commonplace. This system can be employed in a default, bottom-up manner or a directed, top-down manner which will assign a preference to certain features over others. One can apply this system to any static scene, whether that is a still photograph or an image captured from video.

关键词： attention saliency recursive parallel bio-inspired vision neuroscience modeling

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Remote Visual Analysis of Numerical Simulations on distributed-Memory parallel Environment

Remote Visual Analysis of Numerical Simulations on Distribut...

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2010 International conference on Audio,Language and image processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

作者： Yi Cao Huawei Wang Jiming Wu High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing 100094 China

ISBN: (纸本)9781424458653

The distributed-memory parallel computer has become the most popular platform for the parallel acceleration of numerical simulations in scientific computing area. However, complex system characteristics and large-scale time-varying data produced on such environment present tremendous challenges for convenient data analyzing. A visualization system framework is introduced in this paper, which can be easily used to visual analyze the remote simulations. It utilizes a hybrid computational coupling strategy adapting to the parallel computing environment flexibly without disturbing the simulation code structures. Experimental results show the proposed framework can provide good interactivity during steering remote parallel simulations.

关键词： numerical simulation distributed memory parallel computers simulating Visual analytics Remote parallel Lines time scales Environments Visualization

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JSM: Job submission manager for large-scale distributed systems based on game theory

JSM: Job submission manager for large-scale distributed syst...

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2010 3rd International conference on Advanced Computer Theory and Engineering, ICACTE 2010

作者： Saadatfar, Hamid Salami, Hossein Deldari, Hossein Mashhadi, Habib Rajabi Fard, Farhad Rahmani Parallel and Distributed Processing Lab. Engineering Department Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9781424465408

Nowadays by improving the richness of prediction methods and accessing to the more information about systems behavior, the role of proactive strategies in developing more reliable and efficient systems becomes more crucial. However, the goals of prediction and the way that the results can be employed to upgrade the system are still topics which draw recent researchers' attention. In this work, we attempt to decrease Jobs wait time and failure rate by using the results of a job futurity predictor. For achieving this goal, a system component called JSM is proposed. JSM consults the predictor and employs a game theory based model in order to probably rejecting the jobs which are likely to fail. Furthermore, for avoiding from rejecting safety jobs mistakenly, JSM intelligently adopts its decisions with the systems situations. Experimental results state a significant reduction in jobs wait time and failure rate in comparison with other related work. © 2010 IEEE.

关键词： Forecasting

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Programming Cell/BE and GPUs systems for real-time video encoding

Programming Cell/BE and GPUs systems for real-time video enc...

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conference on Real-Time image and Video processing 2010

作者： Momcilovic, Svetislav Sousa, Leonel Univ Tecn Lisboa INESC ID IST Lisbon Portugal

ISBN: (纸本)9780819481979

In this work scalable parallelization methods for computing in real-time the H. 264/AVC on multi-cores platforms, such as the most recent Graphical processing Units (GPUs) and Cell Broadband Engine (Cell/BE), are proposed. By applying the Amdahl's law, the most demanding parts of the video coder were identified and the Single Program Multiple Data and Single Instruction Multiple Data approaches are adopted for achieving real-time processing. In particular, video motion estimation and in-loop deblocking filtering were offloaded to be executed in parallel on either GPUs or Cell/BE Synergistic Processor Elements (SPEs). The limits and advantages of these two architectures when dealing with typical video coding problems, such as data dependencies and large input data are demonstrated. We propose techniques to minimize the impact of branch divergences and branch misprediction, data misalignment, conflicts and non-coalesced memory accesses. Moreover, data dependencies and memory size restrictions are taken into account in order to minimize synchronization and communication time overheads, and to achieve the optimal workload balance given the available multiple cores. Data reusing technique is extensively applied for reducing communication overhead, in order to achieve the maximum processing speedup. Experimental results show that real time H. 264/AVC is achieved in both systems by computing 30 frames per second, with a resolution of 720x576 pixels, when full-pixel motion estimation is applied over 5 reference frames and 32x32 search area. When quarter-pixel motion estimation is adopted, real time video coding is obtained on GPU for larger search area and on Cell/BE for smaller search areas.

关键词： Motion estimation Video coding Rutherfordium Surface plasmons Antimony Video Computer programming Video acceleration Distortion Video processing

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Using Virtual Clusters to Decouple Computation and Data Management in High Throughput Analysis Applications

Using Virtual Clusters to Decouple Computation and Data Mana...

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Simone Leo Paolo Anedda Massimo Gaggero Gianluigi Zanetti CRS4 Cagliari Italy

The rapid growth in the throughput to cost ratio of experimental data production technologies is generating vast amounts of scientific data, often organized into "large" objects (genomes, bio-images) exhibiting complex internal structures. Frequently, datasets must be shared between multiple research groups interested not only in the final results, but also in how they are produced. The practical difficulties of moving terabytes or more of data across the network, as well as the need to maintain a clear separation between software stack and storage infrastructure, are thus raising interest in the use of virtual clusters for HPC and data intensive applications. In this paper we employ a MapReduce implementation of an image analysis pipeline used by deep sequencing platforms to analyse different virtual cluster scenarios and their impact on system performance.

关键词： Throughput image analysis Costs Production Genomics Bioinformatics Software maintenance Application software Pipelines image sequence analysis

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Asynchronous communication schemes for finite difference methods on multiple GPUs 10

Asynchronous communication schemes for finite difference met...

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10th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2010

作者： Playne, D.P. Hawick, K.A. Computer Science Massey University Auckland New Zealand

ISBN: (纸本)9781424469871

Finite difference methods continue to provide an important and parallelisable approach to many numerical simulations problems. Iterative multigrid and multilevel algorithms can converge faster than ordinary finite difference methods but can be more difficult to parallelise. Data parallel paradigms tend to lend themselves particularly well to solving regular mesh PDEs whereby low latency communications and high compute to communications ratios can yield high levels of computational efficiency and raw performance. We report on some practical algorithmic and data layout approaches and on performance data on a range of Graphical processing Units (GPUs) with CUDA. We focus on the use of multiple GPU devices with a single CPU host. © 2010 IEEE.

关键词： Finite difference method

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A Dynamic parallel Approach to Recognize Tubular Breast Cancer for TMA image Building

A Dynamic Parallel Approach to Recognize Tubular Breast Canc...

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Antonella Galizia Federica Viti Andrea Clematis Luciano Milanesi Institute of Applied Mathematics and Information Technologies National Research Council Genoa Italy Institute of Biomedical Technologies National Research Council Milan Italy

Tissue MicroArray technology aims to perforin inimunohistocheniical staining on hundreds of different tissue samples simultaneously, allowing faster analysis and considerably reducing costs incurred in staining. The presented work supports the pre-array phase of this technique, i.e. the automatic discrimination between normal and pathological regions within the analyzed tissues, and it works in the specific context of tubular breast cancer. The diagnosis is performed by automatically analyzing specific morphological features of the breast samples, in order to define if tissues present a normal behavior either they show pathological characteristics, in particular the absence of a double layer of cells around the lumen or the decay of a regular glands-and-lobules structure. Tissue structure is investigated through a parallel image processing algorithm, which performs the extraction of morphological parameters from the acquired images and compares them to experimentally validated threshold values. The input image is divided into a number of independent sub-images, to be singularly analyzed and labeled according to the result of the computed diagnosis. The time spent to actually analyze each sub-image generally varies depending on the pathological characteristics of each part of the tissue. In order to properly manage and exploit this feature of the algorithm, the analysis of the sub-images is dynamically dispatched among parallel processes. Experimental results, carried on by exploiting the parallel paradigm, certify the actual improvement in the execution time, leading to almost linear speed-up values on the actual tissue elaboration.

关键词： image recognition Breast cancer Biological tissues Pathology image analysis Councils Performance analysis Costs Algorithm design and analysis Biomedical imaging

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A novel bandwidth estimation method for distributed on-chip RLCG interconnects

A novel bandwidth estimation method for distributed on-chip ...

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3rd IEEE International conference on Signal and image processing, ICSIP 2010

作者： Kar, Rajib Maheshwari, V. Choudhary, Aman Singh, Abhishek Mal, Ashis K. Bhattacharjee, A.K. Department of Electronics and Communication Engg. National Institute of Technology Durgapur-9 West Bengal 713209 India

ISBN: (纸本)9781424485949

Due to the requirement of high data transmission rate, bandwidth has become an important performance parameter for high speed VLSI design. In order to have the maximum data transfer possible through the on-chip data buses, the bandwidth of the interconnect has to be precisely modeled. At very high frequency (of the order of few GHz) both inductance and conductance matrices become equally important for the characterization of the on-chip interconnect. With the increase in the number of metal layers from generation to generation, the coupling has become a crucial phenomenon that could severely affect the performance parameters of the on-chip buses. There are several approaches proposed in the literature which consider only the capacitive coupling between the metal lines. But at the operating frequency, of the order of few GHz, the inductive coupling should also be considered simultaneously for the accurate modeling of the cross talk phenomena. In this paper we have proposed a closed form formula for the bandwidth of on-chip interconnect. For the first time in the literature, we have derived the bandwidth expression for the interconnect using RLCG transmission line model taking inductive coupling into consideration. We have analytically shown the maximum bandwidth achievable from two parallel interconnect lines with a definite amount of inductive coupling present between these two. The results obtained by using our method show that the proposed model could result an error as less as 10% when compared to SPICE simulation. ©2010 IEEE.

关键词： Bandwidth

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