This paper gives an overview of developments at Silicon Graphics in the areas of scalable multiprocessing and visualization. These developments are grounded in a scalable, shared memory architecture that allows a high...
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The European Concerted Action "COMPARES" (Concerted Action on COnnectionist methods for Preprocessing and Analysis of REmote Sensing Data) was hmded within the Environment and Climate Programme of the Europe...
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This paper presents a new highly efficient procedure for the determination of the dynamical equations of motion for complex multibody systems and their subsequent temporal integration using parallel computing. The met...
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Digital images require a large amount of data to be represented. To make image storage and transmission practical and economical, image compression has become a major issue. In the past few years, several image compre...
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ISBN:
(纸本)0780343719
Digital images require a large amount of data to be represented. To make image storage and transmission practical and economical, image compression has become a major issue. In the past few years, several image compression methods using fractal theory have been developed. These methods promise better performances for compression. One of the most efficient approaches is based on iterated function systems (IFS), and has been promoted by Barnsley (1988). The basic idea is that an image can be reconstructed using the self-similarity it contains. A way to speed up the encoding process is to implement parallelprocessing using PVM (parallel virtual machine) software. The system utilizes both static and dynamic load allocations to obtain substantial compression time speedup over the original, sequential encoding implementation. In this paper, considerations such as PSNR, compression ratio, compression time versus number of processors and the workload granularity are also presented.
Many Arabic character recognition systems have been proposed since the early eighties. Most systems reported high recognition rates, however, they overlooked a very important factor in the process; the speed factor. A...
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Many Arabic character recognition systems have been proposed since the early eighties. Most systems reported high recognition rates, however, they overlooked a very important factor in the process; the speed factor. A parallel Arabic character recognition system is introduced. The goal of the system is to achieve both full accuracy and high speed. This has been accomplished by integrating the character recognition process with parallelprocessing and distributed computing concepts. Experimental results showed that the multi-processing environment is very promising in enhancing a sequential Arabic character recognition system performance.
This paper presents an approach to texture segmentation by thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature sp...
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ISBN:
(纸本)1864352094
This paper presents an approach to texture segmentation by thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature space provides more meaningful results than by considering fuzziness in gray scale domain. The effectiveness of the algorithm is demonstrated by comparison with other traditional non-fuzzy methods or the controversial fuzzy method in gray scale alone. In addition, the efficiency of our algorithm is further improved by parallel implementation using distributed shared memory workstations.
This paper presents an approach to texture segmentation hy thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature sp...
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ISBN:
(纸本)7505338900
This paper presents an approach to texture segmentation hy thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature space provides more meaningful results than by considering fuzziness in gray scale domain. The effectiveness of the algorithm is demonstrated by comparison with other traditional non-fuzzy methods or the controversial fuzzy method in gray scale alone. In addition, the efficiency of our algorithm is further improved by parallel implementation using distributed shared memory workstations.
The proceedings contain 118 papers. The special focus in this conference is on. Euro-Par is the annual European Conference on parallelprocessing;parallel numerical algorithms;High Performance Computing, Application. ...
ISBN:
(纸本)3540616276
The proceedings contain 118 papers. The special focus in this conference is on. Euro-Par is the annual European Conference on parallelprocessing;parallel numerical algorithms;High Performance Computing, Application. The topics include: Optimization of the ScaLAPACK LU Factorization Routine Using Communication/Computation Overlap;On Experiments with a parallel Direct Solver for Diagonally Dominant Banded Linear Systems;The Computation of Partial Eigensolutions on a distributed Memory Machine Using a Modified Lanczos Method;The parallel Computation of Partial Eigensolutions of Large Matrices on a Massively parallel Processor;Preprocessing of Sparse Unassembled Linear Systems for Efficient Solution Using Element-by-element Preconditioners;Implementing The parallel Quasi-Laguerre's Algorithm for Symmetric Tridiagonal Eigenproblems;Comparing Task and Data parallel Excecution Schemes for the DIIRK Method;Numerical Turbulence Simulation on Different parallel Computers Using the Sparse Grid Combination Method;parallel Fourier-Motzkin Elimination;Comparison of Three Monte Carlo methods for Matrix Inversion;parallel Solution of the Volume Integral Equation of Electromagnetic Scattering;Optimization of parallel Multilevel-Newton Algorithms on Workstation Clusters;A Time and Space parallel Algorithm for the Heat Equation: The Implicit Collocation Method;parallelimage/Video processing, Computer Arithmetic;A High Performance image Database System for Remotely Sensed imagery;An Asynchronous parallel Algorithm for Symbolic Grouping Operations in Vision;A parallel Pipelined Hough Transform;High-Performance SAR-image Formation and Post-processing;A parallel Implementation of image Coding Using Linear Prediction and Iterated Functions Systems and parallel Algorithms for Using Non-Stationary MRA in image Compression.
The problem of mis-registration of 3D datasets is addressed for MR imaging of the breast. Three methods are examined and qualitative evidence of their performance is presented. A method of constrained principal axis d...
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ISBN:
(纸本)0819420859
The problem of mis-registration of 3D datasets is addressed for MR imaging of the breast. Three methods are examined and qualitative evidence of their performance is presented. A method of constrained principal axis determination is compared with a correlation method, and an orthogonal polynomial approach is extended into three dimensions. The most effective methods still remain relatively time consuming, and for the correlation method, paralleldistributed computing has been applied to reduce the time-to-solution.
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