Ray tracing, one of the core algorithms in computer graphics, is a technique for image synthesis: creating a photorealistic picture of a 3-D world. Ray tracing technique for image rendering has produced some of the mo...
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Phase unwrapping is an important procedure in digital im-age and signal processing, and has been widely used in many elds, such as optical and microwave interferometry, mag-netic resonance imaging, synthetic aperture ...
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Matrix multiplication is one of the most common and vital numerical operations in the field of scientific computing, which is the kernel routine of Level 3 BLAS. The STI CELL processor is a heterogeneous multiprocesso...
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Sparse Matrix-Vector multiplication (SpMV) is an important computational kernel in scientific applications. Its performance highly depends on the nonzero distribution of sparse matrices. In this paper, we propose a ne...
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In order to extend the sensor’s lifetime, this paper researched deeply into the sleep scheduling mechanism in the distributed sensor network. Now, the commonly used sleep scheduling methods based on the coverage have...
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Scale Invariance Feature Transform (SIFT) is quite suitable for image matching because of its invariance to image scaling, rotation and slight changes in illumination or viewpoint. However, due to high computation com...
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An increasing number of applications in physical and social sciences require the analysis of large graphs. The efficiency of these programs strongly depends on their memory usage especially the locality of graph data ...
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The Negative Selection Algorithm is an immunology-inspired algorithm for anomaly detection application. This algorithm has been implemented with different pattern representations and various matching rules and success...
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ISBN:
(纸本)1595933158
The Negative Selection Algorithm is an immunology-inspired algorithm for anomaly detection application. This algorithm has been implemented with different pattern representations and various matching rules and successfully applied to a broad range of problems. Recent research shows serious problems with this algorithm in terms of both efficiency and effectiveness. In this paper we evaluated the performance of the algorithm constraint-based representation. We argue that the algorithm and problem representations should be considered separately, and that best performance of the algorithm may be obtained by choosing a proper representation.
It is challenging to optimize GPU kernels because this progress requires deep technical knowledge of the underlying hardware. Modern GPU architectures are becoming more and more diversified, which further exacerbates ...
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In this paper, we present a general survey on parallel computing. The main contents include parallel computer system which is the hardware platform of parallel computing, parallel algorithm which is the theoretical ba...
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In this paper, we present a general survey on parallel computing. The main contents include parallel computer system which is the hardware platform of parallel computing, parallel algorithm which is the theoretical base of parallel computing, parallel programming which is the software support of parallel computing. After that, we also introduce some parallel applications and enabling technologies. We argue that parallel computing research should form an integrated methodology of "architecture algorithm programming application". Only in this way, parallel computing research becomes continuous development and more realistic.
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