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检索条件"任意字段=5th International Conference on Algorithms and Architectures for Parallel Processing"

共 3293 条记录，以下是1381-1390 订阅

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Performance Analysis of parallel Sorting algorithms using MPI 12

Performance Analysis of Parallel Sorting Algorithms using MP...

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12th international conference on Frontiers of Information Technology (FIT)

作者： Durad, Muhammad Hanif Akhtar, Muhammad Naveed Irfan-ul-Haq PIEAS DCIS Islamabad Pakistan

ISBN: (纸本)9781479975051

Sorting is one of the classic problems of data processing and many practical applications require implementation of parallel sorting algorithms. Only a few algorithms have been implemented using MPI, in this paper a few additional parallel sorting algorithms have been implemented using MPI. A unified performance analysis of all these algorithms has been presented using two different architectures. On basis of experimental results obtained some guidelines has been suggested for the selection of proper algorithms.

关键词： parallel sorting binary sort bitonic sort hyper quick sort merge sort odd even sort regular sampling quick sort radix sort shell sort

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parallelizing Sparse Recovery algorithms: A Stochastic Approach 19

Parallelizing Sparse Recovery Algorithms: A Stochastic Appro...

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19th international conference on Digital Signal processing (DSP)

作者： Shah, Achal Majumdar, Angshul Indian Inst Technol Gauhati India Indraprastha Inst Informat Technol Delhi India

ISBN: (纸本)9781479946129

this work proposes a novel technique for accelerating sparse recovery algorithms on multi-core shared memory architectures. All prior works attempt to speed-up algorithms by leveraging the speed-ups in matrix-vector products offered by the GPU. A major limitation of these studies is that in most signal processing applications, the operators are not available as explicit matrices but as implicit fast operators. In such a practical scenario, the prior techniques fail to speed up the sparse recovery algorithms. Our work is based on the principles of stochastic gradient descent. the main sequential bottleneck of sparse recovery methods is a gradient descent step. Instead of computing the full gradient, we compute multiple stochastic gradients in parallel cores;the full gradient is estimated by averaging these stochastic gradients. the other step of sparse recovery algorithms is a shrinkage operation which is inherently parallel. Our proposed method has been compared with existing sequential algorithms. We find that our method is as accurate as the sequential version but is significantly faster - the larger the size of the problem, the faster is our method.

关键词： Sparse Signal Recovery parallel Stochastic Gradient Descent Compressive Sensing

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Spatiotemporal Classification Using Neuroscience-Inspired Dynamic architectures 5

Spatiotemporal Classification Using Neuroscience-Inspired Dy...

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5th Annual international conference on Biologically Inspired Cognitive architectures (BICA)

作者： Schuman, Catherine D. Birdwell, J. Douglas Dean, Mark E. Univ Tennessee Dept EECS Knoxville TN 37996 USA

We discuss a neuroscience-inspired dynamic architecture (NIDA) and associated design method based on evolutionary optimization. NIDA networks designed to perform anomaly detection tasks and control tasks have been shown to be successful in previous work. In particular, NIDA networks perform well on tasks that have a temporal component. We present methods for using NIDA networks on classification tasks in which there is no temporal component, in particular, the handwritten digit classification task. the approach we use for both methods produces useful subnetworks that can be combined to produce a final network or combined to produce results using an ensemble method. We discuss how a similar approach can be applied to other problem types.

关键词： neuromorphic computing neuroscience-inspired architectures discrete-event systems neural networks evolutionary algorithms spatiotemporal information processing handwritten digit classification

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Central and Distributed GPU Based parallel Disk Systems for Data Intensive Applications

Central and Distributed GPU Based Parallel Disk Systems for ...

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11th international conference on Mobile Systems and Pervasive Computing (MobiSPC)

作者： Nijim, Mais Saha, Soumya Nijim, Yousef Texas A&M Univ Kingsville TX 78363 USA

parallel disk systems are capable of fulfilling rapidly increasing demands on both large storage capacity and high I/O performance. However, it is challenging to significantly increase disk I/O bandwidth for data-intensive workloads due to (1) reliability and instant processing of data requests under dynamic workload conditions, and (2) the optimum tradeoff between system scalability and data reliability in data-intensive systems. To increase computing performance and reduce power consumption, Graphics processing Units (GPUs) will be used. As the architectures and data processing algorithms for GPU-based parallel disk systems are still in their infancy, this research will develop novel hardware and software architectures that include parallel GPU, flash disks, and disk arrays for data-intensive applications. (c) 2014 Published by Elsevier B.V.

关键词： GPU Flash disks parallel Disk systems

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algorithms and architectures for parallel processing - 13th international conference, ICA3PP 2013, Proceedings

Algorithms and Architectures for Parallel Processing - 13th ...

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13th international conference on algorithms and architectures for parallel processing, ICA3PP 2013

ISBN: (纸本)9783319038889

the proceedings contain 76 papers. the topics discussed include: clustering and change detection in multiple streaming time series;lightweight identification of captured memory for software transactional memory;layer-based scheduling of parallel tasks for heterogeneous cluster platforms;optimistic concurrency control for energy efficiency in the wireless environment;synchronization-reducing variants of the biconjugate gradient and the quasi-minimal residual methods;exploring irregular reduction support in transactional memory;coordinate task and memory management for improving power efficiency;hardware-assisted intrusion detection by preserving reference information integrity;towards automatic generation of hardware classifiers;a practical approach for finding small independent, distance dominating sets in large-scale graphs;and heterogeneous computing vs. big data: the case of cryptanalytical applications.

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algorithms and architectures for parallel processing - 13th international conference, ICA3PP 2013, Proceedings

Algorithms and Architectures for Parallel Processing - 13th ...

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13th international conference on algorithms and architectures for parallel processing, ICA3PP 2013

ISBN: (纸本)9783319038582

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Exploration of Efficient Many-Core Processor for Dual-Polarization and Sympathetic Plucked String Model

Exploration of Efficient Many-Core Processor for Dual-Polari...

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5th international conference on Information Science and Applications (ICISA)

作者： Kang, Myeongsu Kim, Jong-Myon Univ Ulsan Dept Elect Engn Ulsan 680749 South Korea

ISBN: (纸本)9781479944415

Despite the fact that physics-based sound synthesis is becoming more and more efficient in rich and natural high-quality sound synthesis, its high computational complexity limits its use in portable devices. this constraint motivated research on parallel processing architectures that support the physics-based sound synthesis of musical instruments. Since no general consensus has been reached which grain sizes of many-core processors and memories provide the most efficient operation for sound synthesis, this paper explores a many-core processor for varying its PE configurations. To find the optimal PE configuration, each PE configuration is evaluated in terms of execution time, system power, and area. Experimental results indicate that the most efficient operation in order to synthesize 44,100 six-note polyphonic acoustic guitar sound sampled at 44.1 kHz is achieved as the number of PEs equals to 192. Likewise, all PE configurations used in this study are satisfied with the system requirements to implement sound synthesis on a portable device.

关键词： Design space exploration Many-core processor parallel processing architecture Physics-based sound synthesis

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5 Gbit/s real-time processing using π/4-shift DQPSK for bidirectional radio-over-fibre system

5 Gbit/s real-time processing using π/4-shift DQPSK for bid...

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international conference on Transparent Optical Networks

作者： Kai Habel Luz Fernandez del Rosal Stefan Weide Jonas Hilt Volker Jungnickel Robert Elschner Colja Schubert Felix Frey Johannes Karl Fischer Ronald Freund Fraunhofer Institute for Telecommunications Heinrich Hertz Institute Berlin Germany

Future converged fixed-mobile networks need high-speed radio links in deployment scenarios where fibre is not available or too expensive. In this paper, we present a field-programmable gate array (FPGA)-based real-time transmission system using standard 10G Ethernet interfaces. the system comprises two parallel complex-valued data channels in each direction. Standard FPGAs and low-cost multi-channel analogue-to-digital converters (ADCs) and digital-to-analogue converters (DACs) have been used. For enhanced robustness and optimal usage of the power amplifier, π/4-shift differential quaternary phase-shift keying (DQPSK) modulation is used. All digital signal processing routines for synchronization, equalization, forward error correction etc. have been fully implemented and tested. Using a protocol analyzer, error-free bidirectional transmission of Ethernet frames at 5 Gbit/s is verified. Error-vector magnitude (EVM) values below -30 dB indicate that even higher speeds could be realized.

关键词： Synchronization Field programmable gate arrays Bit error rate Signal processing algorithms Boards Forward error correction Signal to noise ratio

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A parallel Algorithm of Kirchhoff Pre-stack Depth Migration Based on GPU 1

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14th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Wang, Yida Li, Chao Tian, Yang Yan, Haihua Zhao, Changhai Zhang, Jianlei Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China

ISBN: (数字)9783319111940

ISBN: (纸本)9783319111940;9783319111933

Kirchhoff pre-stack depth migration (KPSDM) algorithm, as one of the most widely used migration algorithms, plays an important part in getting the real image of the earth. However, this program takes considerable time due to its high computational cost;hence the working efficiency of the oil industry is affected. the general purpose Graphic processing Unit (GPU) and the Compute Unified Device Architecture (CUDA) developed by NVIDIA have provided a new solution to this problem. In this study, we have proposed a parallel algorithm of the Kirchhoff pre-stack depth migration and an optimization strategy based on the CUDA technology. Our experiments indicate that for large data computations, the accelerated algorithm achieves a speedup of 8 similar to 15 times compared with NVIDIA GPU.

关键词： Kirchhoff pre-stack depth migration GPU CUDA parallel algorithm optimization

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A multiagent-based framework for solving computationally intensive problems on heterogeneous architectures bioinformatics algorithms as a case study

A multiagent-based framework for solving computationally int...

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16th international conference on Enterprise Information Systems, ICEIS 2014

作者： Faheem, H.M. König-Ries, B. Computer Systems Department Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Faculty of Mathematics and Computer Science Jena University Jena Germany

ISBN: (纸本)9789897580277

the exponential increase of the amount of data available in several domains and the need for processing such data makes problems become computationally intensive. Consequently, it is infeasible to carry out sequential analysis, so the need for parallel processing. Over the last few years, the widespread deployment of multicore architectures, accelerators, grids, clusters, and other powerful architectures such as FPGAs and ASICs has encouraged researchers to write parallel algorithms using available parallel computing paradigms to solve such problems. the major challenge now is to take advantage of these architectures irrespective of their heterogeneity. this is due to the fact that designing an execution model that can unify all computing resources is still very difficult. Moreover, scheduling tasks to run efficiently on heterogeneous architectures still needs a lot of research. Existing solutions tend to focus on individual architectures or deal with heterogeneity among CPUs and GPUs only, but in reality, often, heterogeneous systems exist. Up to now very cumbersome, manual adaption is required to take advantage of these heterogeneous architectures. the aim of this paper is to provide a proposal for a functional-level design of a multiagent-based framework to deal with the heterogeneity of hardware architectures and parallel computing paradigms deployed to solve those problems. Bioinformatics will be selected as a case study.

关键词： Multi agent systems

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