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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

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Advanced architectures distributed systems for the implementation of neural networks

Advanced architectures distributed systems for the implement...

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international conference on Emerging eLearning technologies and applications (ICETA)

作者： M. Čopjak M. Tomášek J. Hurtuk Dept. of Computers and Informatics FEI TU of Košice Slovak Republic Dept. of Computers and Informatics FEI TU of Koš¡ice Slovak Republic

Many industries nowadays use management and decision making based on artificial neural networks. However, the major drawback of neural networks lies in their time and computational complexity. the problem with computational complexity could be eliminated using sharing of the computing needs on multiple computing nodes. this article focuses on the architectural design of a distributed system, which aims to solve large neural networks. the article describes the technology GPGPU and the next part of the article deals with an overview of methods for speeding up the calculation and distribution of artificial neural network. the main section describes the design of a model architecture description of the algorithm that allows correct data distribution on computational nodes.

关键词： Graphics processing units Computer architecture parallel processing Neurons Hardware Biological neural networks

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Designing dynamic reconfiguration for distributed real time embedded systems

Designing dynamic reconfiguration for distributed real time ...

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international conference on New technologies of distributed Systems (NOTERE)

作者： Fatma Krichen Brahim Hamid Bechir Zalila Bernard Coulette ReDCAD Laboratory National School of Engineering of Sfax University of Sfax Sfax Tunisia IRIT University of Toulouse France

An embedded software system is reconfigurable when it can modify its behavior or its architecture. the reconfigurations are launched according to the evolution of context requirements and the variation of execution environment constraints. the constant growth of the complexity in embedded systems makes the reconfiguration more important and more difficult to achieve. the challenges concern as much the design model level as the runtime support level. Here we focus our attention on design model level. In our work, we aim at providing an automated development process from model to implementation for the dynamic software part of these systems. the contributions of this paper are twofold. First, we use the notion of structure to capture configurations instead of defining each of them. Second, we propose a set of tools to be used in a model driven approach to specify and configure reconfigurable software architectures of distributed real time embedded (DRE) systems.

关键词： Real time systems Embedded system Computer architecture Fractals Runtime Software architecture Hardware Operating systems Unified modeling language Embedded computing

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Accelerating Alignment for Short Reads Allowing Insertion of Gaps on Multi-Core Cluster

Accelerating Alignment for Short Reads Allowing Insertion of...

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

作者： Yongjie Yang Cheng Zhong Danyang Chen School of Computer Electronics and Information Guangxi University Nanning China Dept. of Information Technology Shanghai Rural Commercial Bank Shanghai China

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

the sequence alignment is an important basic work in analyzing large biological data. For the massive short reads alignment problem, based on the dynamic programming approach, divide and conquer principle, and FUSE kernel module, a parallel short-read alignment method allowing the optimal number of inserting gaps depending on species and sequence length is developed on multi-core cluster. the experimental results on real and synthetic data show that the proposed parallel alignment method can achieve good speedup with the same alignment accuracy as the sequential alignment method. Compared with the existing parallel alignment method, the proposed method can remarkably reduce the time of partitioning reference genome and reads files and accelerate the large-scale short-read alignment.

关键词： Genomics Bioinformatics Fuses parallel algorithms Clustering algorithms Acceleration

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A distributed Genetic Algorithm with Adaptive Diversity Maintenance for Ordered Problems

A Distributed Genetic Algorithm with Adaptive Diversity Main...

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

作者： Ryoma Ohira Md. Saiful Islam School of Information Communication and Technology Griffith University Southport Australia

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

Maintaining population diversity is critical to the performance of a Genetic Algorithm (GA). Applying appropriate strategies for measuring population diversity is important in order to ensure that the mechanisms for controlling population diversity are provided with accurate feedback. Sequence-wise approaches to measuring population diversity have demonstrated their effectiveness in assisting with maintaining population diversity for ordered problems, however these processes increase the computational costs for solving ordered problems. Research in distributed GAs have demonstrated how applying different distribution models can affect an GA's ability to scale and effectively search the solution space. this paper proposes a distributed GA with adaptive parameter controls for solving ordered problems such as the travelling salesman problem(TSP), capacitated vehicle routing problem (CVRP) and the job-shop scheduling problem (JSSP). Extensive experimental results demonstrate the superiority of the proposed approach.

关键词： Sociology Statistics Genetic algorithms Convergence Aerospace electronics Computational modeling Master-slave

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Automatic Source Code Plagiarism Detection

Automatic Source Code Plagiarism Detection

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Cynthia Kustanto Inggriani Liem School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

Plagiarism is one form of academic dishonesty, which is often done by students in programming classes. In a large class, detecting plagiarism manually is both difficult and time-consuming, especially due to the numerous modifications of the source code to conceal the *** designed and developed Deimos, a prototype of a source code plagiarism detector, which can be extended to handle other programming languages, simply by implementing new scanners and parsers. Deimos works in two steps: (1) parsing source code and transforming it into tokens, and then (2) comparing each pair of token strings obtained in the first step using Running Karp-Rabin Greedy String Tiling algorithm. Instructor can access Deimos via a web application interface that receives input parameters, triggers a background process, and displays the result. the web interface offers user friendliness while the background process prevents timeout and reduces bandwidth consumption. this approach was chosen since Deimos is intended to be used for processing more than 100 source code. the web application was implemented using PHP, while Java was used to implement the backend application, which is responsible for the background *** test, functional test, and nonfunctional test has been conducted. Detection time is 1 hour for processing 100 samples of beginner's source code taken from real assignment of our programming class where the average length of source code is 150 lines. this code similarity detector could also be used for other pedagogical tools, such as autograder, which checks consistency of source code based on a template or solution.

关键词： Plagiarism Detectors Testing Software engineering Artificial intelligence Intelligent networks distributed computing Informatics Automatic programming parallel programming

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OpenMDSP: Extending OpenMP to program multi-core DSP

OpenMDSP: Extending OpenMP to program multi-core DSP

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20th international conference on parallel Architectures and Compilation Techniques, PACT 2011

作者： He, Jiangzhou Chen, Wenguang Chen, Guangri Zheng, Weimin Tang, Zhizhong Ye, Handong Tsinghua University Beijing China Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9780769545660

Multi-core Digital Signal Processors (DSP) are widely used in wireless telecommunication, core network transcoding, industrial control, and audio/video processing etc. Comparing with general purpose multi-processors, the multicore DSPs normally have more complex memory hierarchy, such as on-chip core-local memory and non-cache-coherent shared memory. As a result, it is very challenging to write efficient multi-core DSP applications. the current approach to program multi-core DSPs is based on proprietary vendor SDKs, which only provides low-level, non-portable primitives. While it is acceptable to write coarsegrained task level parallel code with these SDKs, it is very tedious and error prone to write fine-grained data parallel code with them. We believe it is desired to have a high-level and portable parallel programming model for multi-core DSPs. In this paper, we propose OpenMDSP, an extension of OpenMP designed for multi-core DSPs. the goal of OpenMDSP is to fill the gap between OpenMP memory model and the memory hierarchy of multi-core DSPs. We propose three class of directives in OpenMDSP:(1) data placement directives allow programmers to control the placement of global variables conveniently;(2) distributed array directives divide whole array into sections and promote them into core-local memory to improve performance, and (3) stream access directives promote big array into core-local memory section by section during a parallel loop's processing. We implement the compiler and runtime system for Open- MDSP on FreeScale MSC8156. Benchmarking result shows that seven out of nine benchmarks achieve a speedup of more than 5 with 6 threads. © 2011 IEEE.

关键词： Digital signal processors

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Implementation of the FRED 2-D electromagnetic PIC code on a distributed memory parallel computer with application to the modeling of the long conduction time POS

Implementation of the FRED 2-D electromagnetic PIC code on a...

引用

IEEE international conference on Plasma Science (ICOPS)

作者： P. Steen E. Waisman Technologies Maxwell San Diego CA USA

Summary form only given, as follows. the efficient implementation of the FRED electromagnetic particle-in-cell (PIC) code on a modern distributed memory supercomputer is made difficult by the conflicting objectives of balancing the computational load and minimizing interprocessor communication. the irregular nature of the Lagrangian particle description in the FRED PIC code results in time-fluctuating data communication patterns which hinder efficient utilization of distributed memory parallel computers because of the resulting overhead for frequent data redistribution and dynamic load balancing. Some possible approaches to the resolution of these issues are presented and experience with one such approach on the LANL Blue Mountain (SGI Origin 2000) computer is discussed. the motivation for distributed memory implementation of the FRED code is to enable practical calculation of the plasma evolution of plasma opening switches in the 10**14 electron number density, /spl sim/100 ns timescale regime for volumes of /spl sim/1000 cc.

关键词： Concurrent computing distributed computing Computer applications Application software Electromagnetic modeling Plasma density Piecewise linear techniques Computational modeling Plasma simulation Modems

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Land Record Management using Hyperledger Fabric and IPFS

Land Record Management using Hyperledger Fabric and IPFS

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international conference on computing and Networking Technology (ICCNT)

作者： Himani Mukne Prathamesh Pai Saish Raut Dayanand Ambawade Sardar Patel Institute of Technology Mumbai India

Status quo, the process of maintaining land ownership records employed by many countries is archaic, providing scope for fraudulence, tampering and/or misrepresentation of data, with little to no accountability for ensuring the authenticity of the managed records. this inefficiency and lack of transparency in the system can heavily exploited by the malicious middlemen with questionable intent, entrusted with the task of maintaining the records. the paper aims at introducing transparency, especially in the realm of land acquisition and ownership record management, by ensuring that each transaction is validated by all involved parties. It removes the scope for fraudulence by creating an immutable history of records, which is permanently linked to the system, thereby streamlining documentation and record-keeping. A peer-to-peer tamper-proof and forge-proof network is leveraged for this purpose, using a permissioned Blockchain such as Hyperledger Fabric. the system is interfaced with Interplanetary File System for secure documentation record management.

关键词： Blockchain Government distributed ledger Peer-to-peer computing Fabrics Security

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Random Walk Based Inverse Influence Research in Online Social Networks

Random Walk Based Inverse Influence Research in Online Socia...

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Zhaoyan Jin Quanyuan Wu Dianxi Shi Huining Yan National Key Laboratory for Parallel and Distributed Processing NUDT Changsha Hunan P.R.China

ISBN: (纸本)9781479909735

In online social networks, social influence of a user reflects his or her reputation or importance in the whole network or to a personalized user. Social influence analysis can be used in many real applications, such as link prediction, friend recommendation and personalized searching. Personalized Page Rank, which ranks nodes according to the probabilities that a random walk starting from a personalized node stops at all nodes, is one of the most popular metrics for influence analysis. In this paper, we study the problem of inverse influence in online social networks. Different from Personalized Page Rank, the inverse influence for a personalized node ranks nodes according to the probabilities that all nodes stop at the personalized node in limited steps. We propose two computation models for inverse influence, i.e., the random walk based and the path based. Both of the models have high computation complexity, and cannot be used in large graphs, so we propose a Monte Carlo based approximation algorithm. Experiments from synthetic and real world datasets show that, our algorithm has equivalent or even better accuracy than related researches in link prediction, and thus can be used in friend recommendation in online social networks.

关键词： Prediction algorithms Social network services Equations Mathematical model Accuracy Approximation algorithms Measurement

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Quantum-behaved particle swarm optimization using MapReduce

Quantum-behaved particle swarm optimization using MapReduce

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11th international conference on Bio-inspired computing – theories and applications, BIC-TA 2016

作者： Li, Yangyang Chen, Zhenghan Wang, Yang Jiao, Licheng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Joint International Research Laboratory of Intelligent Perception and Computation International Research Center for Intelligent Perception and Computation Xidian University Xi’anShaanxi710071 China

ISBN: (纸本)9789811036132

Quantum-behaved particle swarm optimization (short in QPSO) is an improved version of particle swarm particle (short in PSO), and the performance is superior. But for now, it may not always satisfy the situations. Nowadays, problems become larger and more complex, most serial optimization algorithms cannot deal with the problem or need plenty of computing cost. In this paper, we implement QPSO on MapReduce model, propose MapReduce quantum-behaved particle swarm optimization (short in MRQPSO), and realize QPSO parallel and distributed, which the MapReduce model is a parallel computing programming model. In the experiments, the test results show that MRQPSO is more advanced both on performance of solution and time than QPSO. © Springer Nature Singapore Pte Ltd. 2016.

关键词： MapReduce

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