Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology as its core supporting disciplines. The rise of cluster and grid computing discipli...
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The approaches to deal with scheduling and load balancing on PC-based cluster systems are famous and well-known. Self-scheduling schemes, which are suitable for parallel loops with independent iterations on cluster co...
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The QR decomposition (QRD) has been extensively adopted in the transceiver processor of Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The antenna configuration of futur...
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ISBN:
(纸本)9781509032068
The QR decomposition (QRD) has been extensively adopted in the transceiver processor of Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The antenna configuration of future MIMO-OFDM system is very flexible. Therefore, the QRD architecture should also has the flexibility feature to decompose various dimensional channel response matrices. However, the existing QRD hardware architectures for MIMO-OFDM systems mainly focus on several fixed dimensional matrices. Due to the flexibility and scalability of parallel tiled QRD algorithm, it is very suitable for future MIMO-OFDM systems. A versatile hardware architecture (Ver_Arch) is designed for the bottleneck operations of parallel tiled QRD algorithm in this paper. Based on the designed Ver_Arch, we also design a QRD architecture for 4×4 real matrix. To the best of our knowledge, this is the first paper that presents a completed QRD hardware architecture based on the parallel tiled QRD algorithm for MIMO-OFDM wireless communication systems.
The low cost and wide availability of PC-based clusters have made them an excellent alternative to access supercomputing. However, while network of workstations may be readily available, there is an increasing need fo...
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In airfoil numerical simulation, the mesh quality has an important influence on the accuracy and error of numerical simulation. The existing mesh quality evaluation requires a lot of manual interaction, which greatly ...
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Knee osteoarthritis (OA) is a common musculoskeletal illness. To solve the problem that inaccurate knee joint localization and inadequate knee OA features extracted from plain radiographs affect the accuracy of knee O...
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In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount...
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Social brainstorming has become a popular group creativity technique to create a large number of ideas for solving problems. The social computing, for its advance in information processing and network communication, c...
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Social brainstorming has become a popular group creativity technique to create a large number of ideas for solving problems. The social computing, for its advance in information processing and network communication, collaborates the social intelligence and enhances the social creativity in brainstorming. However, facing the dilemma of quantity deficiency in idea pondering or quality submergence in idea deluge, cooperative participants essentially require needed information for their innovative work rather than unnecessary disturbance. Therefore, in purpose of enhancing the social creativity, we propose the needed information recycling based on multi-features in meta-data and also the similarity in social graph, helping participants keep a global and local image of previous work and focus on innovation tasks. Given an experimental demo, we discuss the essential merits of the novel brainstorming through the comprehensive but collaborative inter-merge of the social network and computer network, and conclude that the needed information recycling breeds the efficient and effective social creativity.
The co-allocation architecture was developed in order to enable parallel downloads of datasets from multiple servers. Several co-allocation strategies have been coupled and used to exploit rate differences among vario...
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In this paper, we investigate the recent popular computing technique called Grid Computing, and use video conversion and 3D rendering applications to demonstrate this technology's effectiveness and high performanc...
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