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共 1804 条记录，以下是921-930 订阅

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Mstar: A New Two Level Interconnection Network

Mstar: A New Two Level Interconnection Network

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8th international conference on distributed computing and Internet technologies (ICDCIT 2012)

作者： Adhikari, Nibedita Tripathy, C. R. VSS Univ Technol Dept CSE Burla Sambalpur Orissa India

ISBN: (纸本)9783642280726;9783642280733

In the literature various two level interconnection networks are proposed using hypercubes or star graphs. In this paper, a new two level interconnection network topology called the Metastar denoted as Mstar(k,m) is introduced. the proposed network takes the star graph as basic building blocks. Here, the network at the lower level is a star but at the higher level the network is a cube. Its various topological parameters such as packing density, degree, diameter, cost, average distance and hamiltonicity are investigated. Message routing and broadcasting algorithms are also proposed. Performance analysis in terms of topological parameters is done and the proposed network is proved to be a suitable candidate for large scale computing.

关键词： parallel processing interconnection network topological parameters

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Towards Efficient Support for parallel I/O in Java HPC

Towards Efficient Support for Parallel I/O in Java HPC

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Awan, Ammar Ahmad Ayub, Muhammad Sohaib Shafi, Aamir Lee, Sungyoung Kyung Hee Univ Dept Comp Engn Yongin South Korea Natl Univ Sci & Technol SEECS Islamabad Pakistan

ISBN: (纸本)9780769548791

Modern HPC applications put forward significant I/O requirements. To deal with them, MPI provides the MPI-IO API for parallel file access. ROMIO library implements MPI-IO and provides efficient support for parallel I/O in C and Fortran based applications. On the other hand, Java based MPI-like libraries such as MPJ Express and F-MPJ have emerged but they lack parallel I/O support. Little research has been done to provide Java based ROMIO-like libraries due to the non-availability of MPI-IO-like API for the Java language. In this paper, we take the first step towards the development of parallel I/O API in Java by evaluating the newly introduced Java NIO API versus the legacy Java I/O API. We propose two simple approaches for performing parallel file I/O using NIO and evaluate them on two different computational platforms. the implementation of proposed approaches exploits the view buffers concept of NIO API to perform efficient array based file I/O operations from multiple processes. We report encouraging speedups and suggest that design of a parallel I/O API in Java should be based on the NIO API.

关键词： Performance Evaluation parallel I/O in Java MPJ Express MPI-I/O

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parallel IMPLEMENTATION OF LBP BASED FACE RECOGNITION ON GPU USING OPENCL

PARALLEL IMPLEMENTATION OF LBP BASED FACE RECOGNITION ON GPU...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Dwith, C. Y. N. Rathna, G. N. Natl Inst Technol Dept Elect & Commun Engn Warangal Andhra Pradesh India Indian Inst Sci Dept Elect Engn Bangalore Karnataka India

ISBN: (纸本)9780769548791

In this paper, we implement a novel parallelized approach of Local Binary Pattern (LBP) based face recognition algorithm on GPU. High performance rates have been achieved through maximizing the resource exploitation available in the GPU. the launch of GPU programming tools like Open source Computation Language (OpenCL) and (CUDA) have boosted the development of various applications on GPU. In this paper we implement a parallelized LBP algorithm on GPU using OpenCL programming tools. Programs developed under the OpenCL enable us to utilize GPU for general purpose computation with increased performance efficiency in terms of execution time. the experimental results based on the implementation on AMD 6500 GPU processor are observed to increase the computational performance of the system by to 30 folds in case of 1024x1024 images. the relative computational efficiency increases with increase in the size of the Image. this paper addresses several parallelization problems related to memory access and updating, divergent execution paths, understanding and realizing the OpenCL's concurrency and Execution models.

关键词： GPU OpenCL Face recognition Local Binary Patter

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In-network computation of the Transition Matrix for distributed Subspace Projection

In-network computation of the Transition Matrix for Distribu...

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8th IEEE international conference on distributed computing in Sensor Systems (DCOSS)/IWSN/WiSARN/PWSN

作者： Insausti, Xabier Crespo, Pedro M. Beferull-Lozano, Baltasar Univ Navarra CEIT Paseo Manuel Lardizabal 13 Donostia San Sebastian 20018 Spain Univ Valencia IRTIC Valencia Spain

ISBN: (纸本)9780769547077

In this paper, we develop a novel strategy to compute the transition matrix for the projection problem in a distributed fashion through gossiping in Wireless Sensor Networks. So far, the transition matrix had to be computed off-line by a third party and then provided to the network. the Subspace Projection Problem is useful in various application scenarios (e. g. spectral spatial maps in cognitive radios) and consists of projecting the observed sampled spatial field into a subspace of interest with lower dimension. Although the actual exact computation of the optimal transition matrix is not feasible in a distributed way, we develop an algorithm that is based on well known results from linear algebra and a distributed genetic algorithm in order to compute an approximation of the optimal matrix to a desired precision.

关键词： S matrix Subspace Distribute Cognitive radio third party Linear algebra Genetic Algorithm (GA)

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Implementation of 3D FFTs Across Multiple GPUs in Shared Memory Environments

Implementation of 3D FFTs Across Multiple GPUs in Shared Mem...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Nandapalan, Nimalan Jaros, Jiri Rendell, Alistair P. Treeby, Bradley Australian Natl Univ ANU Coll Engn & Comp Sci Res Sch Comp Sci Canberra ACT 0200 Australia

ISBN: (纸本)9780769548791

In this paper, a novel implementation of the distributed 3D Fast Fourier Transform (FFT) on a multi-GPU platform using CUDA is presented. the 3D FFT is the core of many simulation methods, thus its fast calculation is critical. the main bottleneck of the distributed 3D FFT is the global data exchange which must be performed. the latest version of CUDA introduces direct GPU-to-GPU transfers using a Unified Virtual Address space (UVA) that provides new possibilities for optimising the communication part of the FFT. Here, we propose different implementations of the distributed 3D FFT, investigate their behaviour, and compare their performance with the single GPU CUFFT and CPU-based FFTW libraries. In particular, we demonstrate the advantage of direct GPU-to-GPU transfers over data exchanges via host main memory. Our preliminary results show that running the distributed 3D FFT with four GPUs can bring a 12% speedup over the single node (CUFFT) while also enabling the calculation of 3D FFTs of larger datasets. Replacing the global data exchange via shared memory with direct GPU-to-GPU transfers reduces the execution time by up to 49%. this clearly shows that direct GPU-to-GPU transfers are the key factor in obtaining good performance on multi-GPU systems.

关键词： GPU UVA unified-virtual-address multi-GPU FFT distributed shared-memory

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MobiCloud: A geo-distributed mobile cloud computing platform

MobiCloud: A geo-distributed mobile cloud computing platform

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2012 8th international conference on Network and Service Management, CNSM 2012

作者： Xing, Tianyi Huang, Dijiang Ata, Shingo Medhi, Deep Arizona State University United States Osaka City University Japan University of Missouri Kansas City MO United States

ISBN: (纸本)9783901882494

In a cloud computing environment, users prefer to migrate their locally processing workloads onto the cloud where more resources with better performance can be expected. ProtoGENI [1] and PlanetLab [17] have further improved the current Internet-based resource outsourcing by allowing end users to construct a virtual network system through virtualization and programmable networking technologies. However, to the best of our knowledge, there is no such general service or resource provisioning platform designated for mobile devices. In this paper, we present a new design and implementation of MobiCloud that is a geo-distributed mobile cloud computing platform. the discussions of the system components, infrastructure, management, implementation flow, and service scenarios are followed by an example on how to experience the MobiCloud system. © 2012 IFIP.

关键词： Mobile cloud computing

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A unified monitoring framework for distributed information system management

A unified monitoring framework for distributed information s...

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2012 8th international conference on computing Technology and Information Management, ICCM 2012

作者： Chen, Shiping Nepal, Surya Pandey, Suraj Information Engineering Laboratory CSIRO ICT Centre Cnr. Vimiera and Pembroke Roads Marsfield NSW 2122 Australia

ISBN: (纸本)9788988678671

With the increasing complexity and scale of business processes, and the underlying information systems, there is a demand for monitoring the complicated business processes spanning multiple enterprise information systems distributed in a heterogeneous IT environment. this paper presents a unified monitoring framework for such distributed information system management. this framework utilizes Web service and messaging queue technologies to collect log data for business process visualization and monitoring and decouples the tight links between the monitoring tool and the components to be monitored. XML is used to define a universal data format for different types of information to be monitored. A prototype tool is implemented and presented to demonstrate the feasibility and usability of the proposed framework, and experiments are conducted to evaluate the performance overhead introduced by the monitoring. © 2012 AICIT.

关键词： Visualization

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SARA: A self-adaptive routing algorithm in wireless sensor network

SARA: A self-adaptive routing algorithm in wireless sensor n...

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13th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing, SNPD 2012

作者： Zhang, Yi Fang, Zhiyi Sun, Hongyu Chen, Lin International School Beijing University of Posts and Telecommunications Beijing 102209 China College of Computer Science and Technology Jilin University Changchun Jilin 130012 China

ISBN: (纸本)9780769547619

With the development of WSN applications, there is increasing concern for the research of WSN. the routing algorithm is one of the important supporting technologies of WSN. However, the current studies of routing algorithms focus on the single performance. For instance, the aim of Energy Multipath Routing Algorithm is to maximize the network life cycle. And the aim of the Minimal-hop routing algorithm is to minimize the network transmission delay. this paper synthesizes the three performance indicators, namely network life cycle, network latency and network reliability to propose a Self-adaptive Routing Algorithm (SARA). SARA could satisfy different network requirements by adjusting the parameters. the experimental result shows that SARA can reduce the network latency, extend the network lifecycle and enhance the network reliability compared with the Multi-path energy efficient algorithm. © 2012 IEEE.

关键词： Reliability

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Accelerating Biomedical Data-Intensive applications using MapReduce

Accelerating Biomedical Data-Intensive Applications using Ma...

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ACM/IEEE 13th international conference on Grid computing (GRID)

作者： Han, Liangxiu Ong, Hwee Yong Manchester Metropolitan Univ Manchester M15 6BH Lancs England Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland

ISBN: (纸本)9780769548159

In this paper, we investigate how MapReduce and Cloud computing can accelerate performance of applications and scale up the computing resources through a real data mining use case in the Biomedical Sciences. We have prototyped the data mining task using the MapReduce model and evaluated it in the Cloud. A performance evaluation model has been built for assessing the eff ciency of the prototype. the results, from both experiments and the evaluation model, show the performance and scalability can be enhanced through these advanced technologies.

关键词： parallel processing MapReduce Cloud computing Data mining application in Biomedical Science

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TBoPS: a Tree based distributed Beacon only Period Scheduling mechanism for IEEE 802.15.4

TBoPS: a Tree based distributed Beacon only Period Schedulin...

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8th IEEE international conference on distributed computing in Sensor Systems (DCOSS)/IWSN/WiSARN/PWSN

作者： Nefzi, Bilel Khan, Dawood Song, Ye-Qiong Univ Lorraine LORIA Campus SciBP 239 F-54506 Vandoeuvre Les Nancy France INRIA Vandoeuvre Les Nancy France

ISBN: (纸本)9780769547077

IEEE 802.15.4 standard specifies a beacon-enabled mode which provides a synchronization environment using beacon transmissions. However, this mode is designed for single hop networks and its use in multi-hop networks is not straightforward. the main challenges of using beacon-enabled mode in multi-hop networks are how to efficiently schedule beacon transmissions to avoid direct and indirect beacon collisions and how to make a schedule tolerant to the clock drifts due to the low cost components. In this paper, we present TBoPS, a novel technique for scheduling beacons in the cluster tree topology. TBoPS uses a dedicated period called beacon only period (BOP) to schedule beacons at the beginning of IEEE 802.15.4 superframe. the advantages of TBoPS is that every beacon-enabled node selects a beacon schedule distributively during association. We analysed the robustness of TBoPS to clock drifts. We also show through simulations that all nodes in the network are synchronized and follow the same superframe structure.

关键词： wireless multi-hop networks Beacons network node Transmissions superframe Timing devices

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