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In this paper, we present a distributed data visualization framework for HPC environments based on the PBVR (Particle Based Volume Rendering) method. The PBVR method is a kind of point-based rendering approach where the volumetric data to be visualized is represented as a set of small and opaque particles. This method has the object-space and image-space variants, defined by the place (object or image-...
NTP is a well-known and widely used clock synchronization mechanism for PC cluster environments. However, like other software-based clock synchronization algorithms, its precision depends on the estimated accuracy of the network latency for synchronization messages. This paper presents a low-cost internal clock synchronization mechanism that uses a simple TTL signal distributor to support remote clock...
Binary-Swap is a parallel image compositing algorithm based on recursive vector halving and distance doubling, and works efficiently when the number of processes is exactly a power-of-two (2n). Several power-of-two converting approaches for Binary-Swap have been proposed. Among them, the Telescope method, based on the Binary Blocks algorithm, has been shown as the most promising approach. The Telescope...
High performance visualization has played an important role in computer-aided scientific discovery and has become an indispensable tool for computational scientists. Sort-last parallel rendering is a proven approach for visual data analytics by extracting meaningful information from huge data sets generated from large scale scientific computing. Image compositing is the last stage of sort-last parallel...
In the present paper, we introduce a novel point-based volume rendering technique based on particle generation from user-specified transfer function. In the proposed technique, a set of tiny particles is generated from a given 3D scalar field. This particle generation process is based on a user-specified transfer function and rejection method. These particles are then projected onto the image plane...
We have commonly employed medical images, not including X-ray photography, which have their image enhanced by taking advantage of certain characteristics of the human body to look for some valuable medical information. In general, the medical imaging modalities have employed an image acquisition method which enhances a certain feature of the seat of a disease for later processing of the acquired images...
We propose a hierarchical parameter optimization technique which further enhances our original technique for an accurate biological cell simulation. Our original technique generates a k-d tree and uses the coefficient of multiple determination (R2) for tree-branching, however it requires a huge computation time since it processes the response surface at every leaf node of the k-d tree, including those...
We propose a hierarchical parameter optimization technique which further enhances our original technique for an accurate biological cell simulation. Our original technique generates a k-d tree and uses the coefficient of multiple determination (R2) for tree-branching, however it requires a huge computation time since it processes the response surface at every leaf node of the k-d tree, including those...
We have commonly employed medical images, not including X-ray photography, which have their image enhanced by taking advantage of certain characteristics of the human body to look for some valuable medical information. In general, the medical imaging modalities have employed an image acquisition method which enhances a certain feature of the seat of a disease for later processing of the acquired images...
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