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检索条件"任意字段=8th International Conference on Parallel Processing and Applied Mathematics"

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Digital Image processing with Quantum Approaches 8th

Digital Image Processing with Quantum Approaches

引用

8th international conference on Image and Signal processing (ICISP)

作者： Gillard, Nicolas Belin, Etienne Chapeau-Blondeau, Francois Univ Angers LARIS 62 Ave Notre Dame Lac F-49000 Angers France

ISBN: (纸本)9783319942117;9783319942100

We devise and analyze illustrative examples of image processing tasks that show the capability of specifically quantum properties to afford enhanced performance inaccessible with classical processing. the quantum approaches here essentially demonstrate and exploit the possibility of parallel processing stemming from superposition of quantum states. the results illustrate the rich potential, yet largely to be explored, of quantum information and computation for image and signal processing.

关键词： Quantum information Quantum computation Digital image processing Quantum parallelism

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TaskUniVerse: A Task-Based Unified Interface for Versatile parallel Execution 12th

TaskUniVerse: A Task-Based Unified Interface for Versatile P...

引用

12th international conference on parallel processing and applied mathematics (PPAM)

作者： Zafari, Afshin Uppsala Univ Div Comp Sci Dept Informat Technol Lagerhyddsvagen 2 S-75237 Uppsala Sweden

ISBN: (纸本)9783319780245;9783319780238

Task based parallel programming has shown competitive outcomes in many aspects of parallel programming such as efficiency, performance, productivity and scalability. Different approaches are used by different software development frameworks to provide these outcomes to the programmer, while making the underlying hardware architecture transparent to her. However, since programs are not portable between these frameworks, using one framework or the other is still a vital decision by the programmer whose concerns are expandability, adaptivity, maintainability and interoperability of the programs. In this work, we propose a unified programming interface that a programmer can use for working with different task based parallel frameworks transparently. In this approach we abstract the common concepts of task based parallel programming and provide them to the programmer in a single programming interface uniformly for all frameworks. We have tested the interface by running programs which implement matrix operations within frameworks that are optimized for shared and distributed memory architectures and accelerators, while the cooperation between frameworks is configured externally with no need to modify the programs. Further possible extensions of the interface and future potential research are also described.

关键词： High Performance Computing Task based programming parallel programming Unified interface

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Edge Computing Platform Management: Design for F2C and F2F for Small Businesses to Reduce Costs

Edge Computing Platform Management: Design for F2C and F2F f...

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IIAI international conference on Advanced applied Informatics (IIAIAAI)

作者： Prajak Chertchom Shigeaki Tanimoto Tsutomu Konosu Motoi Iwashita Toru Kobayashi Hiroyuki Sato Atsushi Kanai Faculty of Information Technology Thai-Nichi Institute of Technology Bangkok Thailand Faculty of Social Systems Science Chiba Institute of Technology Chiba Japan School of Engineering Nagasaki University Nagasaki Japan Information Technology Center The University of Tokyo Tokyo Japan Faculty of Science and Engineering Hosei University Tokyo Japan

ISBN: (纸本)9781728126289

With a focus on edge computing and the cloud, IoT and connected devices require both edge computing platform management for real-time decisions and cloud computing for optimization. From a business's perspective, this requires further investments in keeping devices updated. Big players in edge computing have proposed new devices and concepts for industries, resulting in the likelihood of increasingly expensive devices going forward. However, small businesses and factories cannot afford such investments. thus, this paper proposes a simple and low-cost implementation of an edge computing platform for small businesses to automate their business in real time. Furthermore, having the perspective of historical performance enables real-time optimization of the entire business process.

关键词： business data processing cloud computing Internet of things Small Business business data processing Cloud Computing Internet of things face to face f2c Investments Platform Business Industrial Plants

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Measurement of Organizational Happiness

Measurement of Organizational Happiness

引用

international conferences on Human Factors in Management and Leadership, and Business Management and Society / 8th international conference on applied Human Factors and Ergonomics (AHFE)

作者： Eckhaus, Eyal Ariel Univ IL-40700 Ariel Israel

ISBN: (纸本)9783319603728;9783319603711

Personal well-being studies have reported a strong positive relationship between happiness and productivity, determining the need of the Human Resource (HR) function to regularly monitor and maintain employee happiness and satisfaction. However, lack of scientific precision in defining the term 'happiness' and inconsistency in its measurement have made this research area more challenging. the study proposes an automated detection technique that uses Natural Language processing (NLP), to offer the HR function an easy means of implementing a technique that enables constant monitoring of happiness levels, and leverages the data into a tool for evaluating the effectiveness of programs, policies, and practices. A case study is presented to demonstrate the framework's effectiveness.

关键词： Happiness HR metrics Email sentiments Natural Language processing

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parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior 12th

Parallel Nonnegative Matrix Factorization Based on Newton It...

引用

12th international conference on parallel processing and applied mathematics (PPAM)

作者： Kutil, Rade Flatz, Markus Vajtersic, Marian Salzburg Univ Dept Comp Sci Jakob Haringer Str 2 A-5020 Salzburg Austria Slovak Acad Sci Math Inst Dubravska Cesta 9 Bratislava 84104 Slovakia

ISBN: (纸本)9783319780245;9783319780238

the Nonnegative Matrix Factorization (NMF) approximates a large nonnegative matrix as a product of two significantly smaller nonnegative matrices. Because of the nonnegativity constraints, all existing methods for NMF are iterative. Newton-type methods promise good convergence rate and can also be parallelized very well because Newton iterations can be performed in parallel without exchanging data between processes. However, previous attempts have revealed problematic convergence behavior, limiting their efficiency. therefore, we combine KarushKuhn- Tucker (KKT) conditions and a reflective technique for constraint handling, take care of global convergence by backtracking line search, and apply a modified target function in order to satisfy KKT inequalities. By executing only few Newton iterations per outer iteration, the algorithm is turned into a so-called inexact method. Experiments show that this leads to faster convergence in the sequential as well as in the parallel case. Although shorter Newton phases increase the relative parallel communication overhead, speedups are still satisfactory.

关键词： Nonnegative Matrix Factorization (NMF) Newton iteration Computational linear algebra parallel algorithms

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Global State Monitoring in Optimization of parallel Event-Driven Simulation 12th

Global State Monitoring in Optimization of Parallel Event-Dr...

引用

12th international conference on parallel processing and applied mathematics (PPAM)

作者： Masko, Lukasz Tudruj, Marek Polish Acad Sci Inst Comp Sci Ul Jana Kazimierza 5 PL-01248 Warsaw Poland Polish Japanese Acad Informat Technol Ul Koszykowa 86 PL-02008 Warsaw Poland

ISBN: (纸本)9783319780245;9783319780238

the paper presents results of experimental work in the field of optimization of parallel, event-driven simulation via application of global state monitoring. Discrete event simulation is a well known technique used for modelling and simulating complex parallel systems. parallel simulation employs multiple simulated event queues processed in parallel. Absence of proper synchronization between parallel queues can cause massive simulation rollbacks, which slow down the simulation process. We propose a new method for parallel simulation control with monitoring of global program states, which prevent excessive number of rollbacks. Every queue process reports its local progress to a global synchronizer which monitors the global simulation state as timestamps of recently processed events in distributed queues. Based on this state the synchronizer checks the progress of simulation and sends signals limiting progress in too advanced queues. this control is done asynchronously, and thus it has small time overheads in case of correct simulation order. the paper describes the proposed approach and the experimental results of its basic program implementation.

关键词： parallel event-driven simulation Global application states monitoring Optimistic PDES simulation

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Big Data Analytics in Java with PCJ Library: Performance Comparison with Hadoop 12th

Big Data Analytics in Java with PCJ Library: Performance Com...

引用

12th international conference on parallel processing and applied mathematics (PPAM)

作者： Nowicki, Marek Ryczkowska, Magdalena Gorski, Lukasz Bala, Piotr Nicolaus Copernicus Univ Fac Math & Comp Sci Chopina 12-18 PL-87100 Torun Poland Univ Warsaw Interdisciplinary Ctr Math & Computat Modeling Pawinskiego 5a PL-02106 Warsaw Poland

ISBN: (纸本)9783319780542;9783319780535

the focus of this article is to present Big Data analytics using Java and PCJ library. the PCJ library is an award-winning library for development of parallel codes using PGAS programming paradigm. the PCJ can be used for easy implementation of the different algorithms, including ones used for Big Data processing. In this paper, we present performance results for standard benchmarks covering different types of applications from computational intensive, through traditional mapreduce up to communication intensive. the performance is compared to one achieved on the same hardware but using Hadoop. the PCJ implementation has been used with both local file system and HDFS. the code written with the PCJ can be developed much faster as it requires a smaller number of libraries used. Our results show that applications developed with the PCJ library are much faster compare to Hadoop implementation.

关键词： Big Data Java parallel computing Hadoop

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GPU-based high-performance computing of multichannel EEG phase wavelet synchronization 8

GPU-based high-performance computing of multichannel EEG pha...

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8th Annual international conference of the Biologically-Inspired-Cognitive Architectures-Society on Biologically Inspired Cognitive Architectures (BICA)

作者： Efitorov, Alexander Knyazeva, Irina Yulia, Boytsova Danko, Sergey Natl Res Nucl Univ MEPhI Moscow Russia Lomonosov Moscow State Univ Skobeltsyn Inst Nucl Phys Moscow Russia Pulkovo Observ St Petersburg Russia St Petersburg State Univ St Petersburg Russia Russian Acad Sci Inst Human Brain St Petersburg Russia

the work is devoted to GPU-based high performance realization of algorithm for wavelet phase synchronization. Wavelet phase coherence was applied for analyzing brain activity in states with different degrees of mental and sensory attention. In the analysis of electroencephalographic correlates of mental states, as a rule the focus is on the analysis of the spectral power of a quasi-stationary EEG or task-related power of time-frequency EEG spectra. the analysis of the wavelet phase coherence provides additional information on the organization of brain activity, but requires more computing time. Fast implementation can simplify the use of this method in practice. (C) 2018 the Authors. Published by Elsevier Ltd. this is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/3.0/) Peer-review under responsibility of the scientific committee of the 8th Annual international conference on Biologically Inspired Cognitive Architectures

关键词： Graphics processing unit(GPU) wavelet phase coherence EEG analysis analysis of nonstationary signals

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A Fault-tolerant parallel inverter applied to micro-grid 8

A Fault-tolerant parallel inverter applied to micro-grid

引用

8th international Power Electronics conference, IPEC-Niigata - ECCE Asia 2018

作者： Shi, Xiangyue Peng, Jinjie Qiu, Zhifeng Xiong, Wei School of Information Science and Engineering Central South University Changsha China

ISBN: (纸本)9784886864055

A topology structure of the fault-tolerant parallel inverter applied to micro-grid has been proposed in this paper. In normal operation state, two parallel inverters run stably. the structure of the fault-tolerant inverter is reconstructed after failure. the reconfiguration of the fault-tolerant inverter results in the phase voltage deviation and the circulating current between the two parallel inverters. the circulating current between the parallel inverters is reduced greatly by increasing the inverter filter capacitor value to support the DC side voltage. Simulation results verify the validity and effectiveness of the proposed topology structure. © 2018 IEEJ Industry Application Society.

关键词： Electric inverters

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Security Monitoring and Analytics in the Context of HPC processing Model 12th

Security Monitoring and Analytics in the Context of HPC Proc...

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12th international conference on parallel processing and applied mathematics (PPAM)

作者： Dobski, Mikolaj Frankowski, Gerard Meyer, Norbert Milostan, Maciej Pilc, Michal PSNC IBCh PAS Ul Jana Pawla 2 10 PL-61139 Poznan Poland Poznan Univ Tech Inst Comp Sci Poznan Poland

ISBN: (纸本)9783319780245;9783319780238

In this paper an overview of the problem of cybersecurity monitoring and analytics in HPC centers is performed from two intersecting points of view: challenges of assuring the necessary security level of HPC infrastructures themselves as well as new, not available earlier, opportunities to effectively analyze large volumes of heterogeneous data, facilitated by using large HPC clusters together with scalable analytic software. A major part of this paper is devoted to the most relevant methodologies and solutions that can be used by security analytics in order to at least partially face the challenge of analyzing large volumes of data potentially related with cyber-security events, in real-time or quasi-real-time. Particular solutions are considered in the context of their applicability in an HPC infrastructure. Relying on the results of experiments conducted within the SECOR project we have shown an approach of further development of the prepared architecture in HPC environment - within the confines of another R&D project, PROTECTIVE.

关键词： Cybersecurity HPC Monitoring threat detection Scalability

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