image feature extraction is widely used in content-based image retrieval(CBIR), computer version and all kinds of imageprocessing applications. In this paper, we introduce some parallel and SIMD optimizations of imag...
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image feature extraction is widely used in content-based image retrieval(CBIR), computer version and all kinds of imageprocessing applications. In this paper, we introduce some parallel and SIMD optimizations of image-feature extraction to overcome the disadvantages of original methods. We mainly use both thread-parallel optimization and Single Instruction Multiple Data (SIMD) optimizations. And especially, for some hot point, we use SIMD logical operations to eliminate the random conditional branches which cannot be effectively predicted by CPU Branch Prediction. We experimented our optimized implementation on multi-core systems, and various images were used to test the image-feature extraction results and performance. All the parallel and SIMD optimizations work out a good cumulative performance speedup.
Deployment of pattern recognition applications for large-scale data sets is an open issue that needs to be addressed. In this paper, an attempt is made to explore new methods of partitioning and distributing data, tha...
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ISBN:
(纸本)9783642249570;9783642249587
Deployment of pattern recognition applications for large-scale data sets is an open issue that needs to be addressed. In this paper, an attempt is made to explore new methods of partitioning and distributing data, that is, resource virtualization in the cloud by fundamentally re-thinking the way in which future data management models will need to be developed on the Internet. The work presented here will incorporate content-addressable memory into Cloud data processing to entail a large number of loosely-coupled parallel operations resulting in vastly improved performance. Using a lightweight associative memory algorithm known as distributed Hierarchical Graph Neuron (DHGN), data retrieval/processing can be modeled as pattern recognition/matching problem, conducted across multiple records and data segments within a single-cycle, utilizing a parallel approach. The proposed model envisions a distributed data management scheme for large-scale data processing and database updating that is capable of providing scalable real-time recognition and processing with high accuracy while being able to maintain low computational cost in its function.
This two-volume-set (CCIS 188 and CCIS 189) constitutes the refereed proceedings of the International conference on Digital Information processing and Communications, ICDIPC 2011, held in Ostrava, Czech Republic, in J...
ISBN:
(数字)9783642224102
ISBN:
(纸本)9783642224096
This two-volume-set (CCIS 188 and CCIS 189) constitutes the refereed proceedings of the International conference on Digital Information processing and Communications, ICDIPC 2011, held in Ostrava, Czech Republic, in July 2011. The 91 revised full papers of both volumes presented together with 4 invited talks were carefully reviewed and selected from 235 submissions. The papers are organized in topical sections on network security; Web applications; data mining; neural networks; distributed and parallelprocessing; biometrics technologies; e-learning; information ethics; imageprocessing; information and data management; software engineering; data compression; networks; computer security; hardware and systems; multimedia; ad hoc network; artificial intelligence; signal processing; cloud computing; forensics; security; software and systems; mobile networking; and some miscellaneous topics in digital information and communications.
During the present decade, emerging architectures like multicore CPUs and graphics processing units (GPUs) have steadily gained popularity for their ability to deploy high computational power at a low cost. In this pa...
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This two-volume-set (CCIS 188 and CCIS 189) constitutes the refereed proceedings of the International conference on Digital Information processing and Communications, ICDIPC 2011, held in Ostrava, Czech Republic, in J...
ISBN:
(数字)9783642223891
ISBN:
(纸本)9783642223884
This two-volume-set (CCIS 188 and CCIS 189) constitutes the refereed proceedings of the International conference on Digital Information processing and Communications, ICDIPC 2011, held in Ostrava, Czech Republic, in July 2011. The 91 revised full papers of both volumes presented together with 4 invited talks were carefully reviewed and selected from 235 submissions. The papers are organized in topical sections on network security; Web applications; data mining; neural networks; distributed and parallelprocessing; biometrics technologies; e-learning; information ethics; imageprocessing; information and data management; software engineering; data compression; networks; computer security; hardware and systems; multimedia; ad hoc network; artificial intelligence; signal processing; cloud computing; forensics; security; software and systems; mobile networking; and some miscellaneous topics in digital information and communications.
A wide range of surfaces can be defined by means of composite parametric surfaces as is the case for most CAD modelers. There are, essentially, two approaches to meshing parametric surfaces: direct and indirect. Popul...
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ISBN:
(纸本)9781905088423
A wide range of surfaces can be defined by means of composite parametric surfaces as is the case for most CAD modelers. There are, essentially, two approaches to meshing parametric surfaces: direct and indirect. Popular direct methods include the octree-based method, the advancing-front-based method and the paving-based method working directly in the tridimensional space. The indirect approach consists in meshing the parametric domain and mapping the resulting mesh onto the surface. Using the latter approach, we have proposed a general meshing scheme which consists in discretizing each interface curve and meshing each parametric domain according to the above boundary discretizations. Complex surfaces such as a car engine or a complete aircraft are composed of thousands of patches, and meshing these surfaces using the above sequential scheme can be inefficient. We propose a parallel version of the general meshing scheme while naturally balancing the load to each processor.
The paper presents methods for images processing in order to path planning of a mobile robot in an environment with obstacles. The CNNs (Cellular Neural Networks) methods have been considered a good solution for image...
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ISBN:
(纸本)9781618040237
The paper presents methods for images processing in order to path planning of a mobile robot in an environment with obstacles. The CNNs (Cellular Neural Networks) methods have been considered a good solution for imageprocessing in autonomous mobile robots guidance. The choice of CNNs for the visual processing part is based on the possibility of their hardware implementation in large networks on a single VLSI chip and their capability to make parallelprocessing.
The Time Dependent Ginzburg Landau(TDGL) equation models a complex scalar field and is used to study a variety of different physical systems and exhibits phase transitional behaviours that necessitate study using nume...
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ISBN:
(纸本)9780889868649
The Time Dependent Ginzburg Landau(TDGL) equation models a complex scalar field and is used to study a variety of different physical systems and exhibits phase transitional behaviours that necessitate study using numerical simulation methods. We employ fast data-parallel simulation algorithms on Graphical processing Units (GPUs) and report on performance data and stability tradeoffs from using various implementations of both 32-bit and 64-bit complex numbers. Using NVIDIA s Compute Unified Device Architecture (CUDA) programming language running on a GTX480 GPU, we are able to simulate the TDGL with relatively large simulation system sizes of 2563 cells and we discuss the relative computational tradeoffs between numerical accuracy and stability using different methods as well as different data precisions.
Graphics processing Units (GPUs) are suitable for highly data parallel algorithms such as imageprocessing, due to their massive parallelprocessing power. Many imageprocessing applications use the histogramming algo...
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