In this paper,the state-of-the-art parallel computational model research is *** will introduce various models that were developed during the past *** to their targeting architecture features,especially memory organiza...
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In this paper,the state-of-the-art parallel computational model research is *** will introduce various models that were developed during the past *** to their targeting architecture features,especially memory organization,we classify these parallel computational models into three *** models and their characteristics are discussed based on three generations *** believe that with the ever increasing speed gap between the CPU and memory systems,incorporating non-uniform memory hierarchy into computational models will become *** the emergence of multi-core CPUs,the parallelism hierarchy of current computing platforms becomes more and more *** this complicated parallelism hierarchy in future computational models becomes more and more important.A semi-automatic toolkit that can extract model parameters and their values on real computers can reduce the model analysis complexity,thus allowing more complicated models with more parameters to be *** memory and hierarchical parallelism will be two very important features that should be considered in future model design and research.
Great efforts have been devoted to seamless quadrangulation of triangular mesh for its practical application in constructing surface patches. This type of algorithm sets up a parameterization on the triangular mesh an...
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A self-organizing peer-to-peer system is built upon an application level overlay, whose topology is independent of underlying physical network. A well-routed message path in such systems may result in a long delay and...
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In our daily life, we may often see various natural phenomena of fluid mixtures, like pouring honey/ink into water, Coca Cola into strong wine etc. In fluid simulation, since fluids can not hold the shear stress, thei...
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ISBN:
(纸本)9781424415793
In our daily life, we may often see various natural phenomena of fluid mixtures, like pouring honey/ink into water, Coca Cola into strong wine etc. In fluid simulation, since fluids can not hold the shear stress, their shapes usually vary drastically in their dynamics. Interaction among multiple fluids in different features becomes even more difficult. Since the late 90s of the last century, graphics researchers have simulated lots of natural effects on fluid simulation for animating such as smoke, fire or water. However, little attention has been paid to demonstrating the effect of fluid mixtures. In the fluid mixture simulation, interactions among fluid mixtures in different kinds would generate comprehensive behavior. To investigate the interaction behavior in physically-based simulation of the fluids, it is of importance to build physically correct models to represent the varying interactions among the fluid mixtures. In this talk, stress will be put on the physically based simulation of fluid mixtures, in particular the mixture in two fluids, or binary mixtures. We will introduce the fundamental principle of the physics in the fluid mixture phenomena, and then the primary solutions to the simulation. The approaches we have proposed for the solution to the fluid mixture simulation will be introduced in detail, with various simulation results to be demonstrated. In some of the methods, advantage is taken with the Graphics Processing Unit (GPU) to achieve real-time computation for the simulation. Roughly in terms of the miscibility of binary mixtures, the fluid mixture can be categorized into immiscible mixtures such as bubbles in liquid or oil in water, and miscible mixtures such as honey dissolving in water. The visual appearance of the mixture physically roots in two opposite processes: the diffusing and the demixing. The diffusing process leads to the dissolving effect such as honey dissolving in water, while the demixing process leads to the separation (or de
With the rapid development of 3D digital photography and 3D digital scanning devices, massive amount of point samples can be generated in acquisition of complex, real-world objects, and thus create an urgent need for ...
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With the rapid development of 3D digital photography and 3D digital scanning devices, massive amount of point samples can be generated in acquisition of complex, real-world objects, and thus create an urgent need for advanced point-based processing and editing. In this paper, we present an interactive method for blending point-based geometries by dragging-and- dropping one point-based model onto another model’s surface metaphor. We first calculate a blending region based on the polygon of interest when the user drags-and-drops the model. Radial basis function is used to construct an implicit surface which smoothly interpolates with the transition regions. Continuing the drag-and-drop operation will make the system recalculate the blending regions and reconstruct the transition regions. The drag-and-drop operation can be compound in a constructive solid geometry (CSG) manner to interactively construct a complex point-based model from multiple simple ones. Experimental results showed that our method generates good quality transition regions between two raw point clouds and can effectively reduce the rate of overlapping during the blending.
In computer graphics, methods for mesh simplification are common. However, most of them focus on static meshes, only few works have been proposed for simplifying deforming surfaces. In this paper, we propose a new met...
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Multi robot cooperation in etching tools is a complex application since dynamic state changes of all the cooperative robots should be considered in making control decisions. So it is difficult for traditional agent-ba...
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Multi robot cooperation in etching tools is a complex application since dynamic state changes of all the cooperative robots should be considered in making control decisions. So it is difficult for traditional agent-based method (such as belief decision intention (BDI) method) to schedule cooperative etching robots. A dynamic intelligent planning method is required to improve the quality of the decision making process. According to the etching cooperative robot system requirements, this paper proposes a dynamic and intelligent planning method on the base of hybrid BDI agent architecture, which is with evolving artificial neural network (NN) in building the intelligence especially in planning process. As the input of the NN, the working states of every robot can be got easily. And the control decisions for every cooperative robot can be easily made by itself with the evolving neural network. It has been demonstrated effective in actual applications.
Usenet is a world-wide distributed discussion system, and it is one of the representative resources on Internet. The structure of newsgroup on Usenet forms gradually along with the evolution of the newsgroup and could...
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Segmentation is a fundamental issue in point cloud geometry process. It has encountered two difficulties. From one side, those efficient mesh based segmentation algorithms could not be applied to cloud, as point cloud...
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In recent years, document clustering has been receiving more and more attentions as an important and fundamental technique for unsupervised document organization, automatictopic extraction, and fast information retrie...
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ISBN:
(纸本)1595935975
In recent years, document clustering has been receiving more and more attentions as an important and fundamental technique for unsupervised document organization, automatictopic extraction, and fast information retrieval or filtering. In this paper, we propose a novel method for clustering documents using regularization. Unlike traditional globally regularized clustering methods, our method first construct a local regularized linear label predictor for each document vector, and then combine all those local regularizers with a global smoothness regularizer. So we call our algorithm Clustering with Local and Global Regularization (CLGR). We will show that the cluster memberships of the documents can be achieved by eigenvalue decomposition of a sparse symmetric matrix, which can be efficiently solved by iterative methods. Finally our experimental evaluations on several datasets are presented to show the superiorities of CLGR over traditional document clustering methods. Copyright 2007 ACM.
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