Job management is a key issue in computational grids, and normally involves job definition, scheduling, executing and monitoring. However, job management in the existing grid middleware needs to be improved in terms o...
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Job management is a key issue in computational grids, and normally involves job definition, scheduling, executing and monitoring. However, job management in the existing grid middleware needs to be improved in terms of efficiency and flexibility. This paper addresses a flexible architecture for job management with detailed design and implementation. Frameworks for job scheduling and monitoring, as two important aspects, are also presented. The proposed job management has the advantages of reusability of job definition, flexible and automatic file operation, visual steering of file transfer and job execution, and adaptive application job scheduler. A job management wizard is designed to implement each step. Therefore, what the grid user needs to do is only to define the job by constructing necessary information at runtime. In addition, the job space is adopted to ensure the security of the job management. Experimental results showed that this approach is user-friendly and system efficient.
The ability to inject dopant atoms with high spatial resolution, flexibility in dopant species, and high single ion detection fidelity opens opportunities for the study of dopant fluctuation effects and the developmen...
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Recently, combining a video recording of a presentation along with the digital slides used in it has become popular in e-learning and presentation of archives. For users of the archives, it is useful to preview a dige...
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Recently, combining a video recording of a presentation along with the digital slides used in it has become popular in e-learning and presentation of archives. For users of the archives, it is useful to preview a digest of such content to grasp the atmosphere and/or an outline of the presentation. This paper proposes a method of automatic digest generation by extracting important scenes from the presentation content. The extracted scenes are chosen based on several factors such as frequency and specificity of words, scene duration and order. Finally, the effectiveness of the proposed methods are evaluated by comparing with testers' answer sets for actual lectures.
In this paper, we develop a highly accurate parallel software scanned cell projection algorithm (PSSCPA) which is applicable of any classification system. This algorithm could handle both convex and non-convex meshes,...
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In volume visualization, locating optimal viewpoint is important for the improvement of data understanding, especially for non-interactive visualization of large dataset. This paper presents a novel approach for view ...
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In this paper, we present a high-quality texture-based approach for the visualization of vector fields on surface. It adopts a scheme of streamline enhancement by applying a ID high-pass filter to flow textures along ...
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In this paper, we present a high-quality texture-based enhanced approach for the visualization of unsteady vector fields. It adopts a scheme of streamline enhancement by applying a ID high-pass filter to flow textures...
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The basis graph with five vertices has been commonly used in the GPU-accelerated Project Tetrahedra algorithm because of the inability to create or delete vertices within a vertex program and the fixed topological con...
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This paper presents an improved Laplacian smoothing approach (ILSA) to optimize surface meshes while maintaining the essential characteristics of the discrete surfaces. The approach first detects feature nodes of a me...
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The L-system is a commonly used methodology to generate fractals and realistic model plants, yet it is very complex and computationally expensive. This paper presents a new parallel L-system string re-writing algorith...
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