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检索条件"任意字段=Euromicro Conference on Parallel, Distributed and Network-Based Processing"

共 4336 条记录，以下是1361-1370 订阅

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Fast Blocking of Householder Reflectors on Graphics Processors

Fast Blocking of Householder Reflectors on Graphics Processo...

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euromicro conference on parallel, distributed and network-based processing

作者： Andrés E. Tomás Dominguez Enrique S. Quintana Orti Depto. de Ingeniería y Ciencia de Computadores Universitat Jaume I Spain

We revisit an alternative representation to the compact WY transform for the accumulation (blocking) of Householder reflectors that exhibits the same numerical stability and is composed of efficient computational kernels from Level-3 Basic Linear Algebra Subprograms (BLAS) in contrast with the Level-2 BLAS that are utilized for the construction of the conventional compact WY representation. For the orthogonal reduction to condensed forms on multicore platforms equipped with a fast graphics processing unit (GPU), (or when there is a notable gap in performance between the multicore processors and the graphics accelerator,) our approach removes the assembly of the accumulation from the critical path of the algorithm. This comes as a consequence of accelerating this operation via the use of Level-3 BLAS, moving this computation to the GPU, and allowing the use of larger algorithmic block sizes. Our experiments with the alternative orthogonal representation show considerable speed-ups, which can be in the range 20-40% on recent GPUs when compared with the codes in MAGMA.

关键词： Transforms Graphics processing units Multicore processing Buildings Linear algebra Symmetric matrices

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Compiler-Enhanced Reliability for network-on-Chip Architectures 25

Compiler-Enhanced Reliability for Network-on-Chip Architectu...

引用

25th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Sasongko, Muhammad Aditya Topcuoglu, Haluk Rahmi Arslan, Sanem Kandemir, Mahmut Taylan Marmara Univ Comp Engn Dept TR-34722 Istanbul Turkey Penn State Univ Dept Comp Sci & Engn University Pk PA 16802 USA

ISBN: (纸本)9781509060580

The small feature sizes in current networks-on-chip (NoCs) have increased the importance of reliability. However, existing fault tolerance schemes incur costs in terms of performance and power consumption which can be over-burdening. In order to tackle the reliability problem in NoCs while minimizing the performance and energy costs, a compiler-enhanced reliability scheme is introduced in this paper which assigns extra protection only to data transmissions in NoC which are considered critical. The experimental study validates that our scheme yields almost equal level of fault tolerance for critical data transmissions with the scheme that protects all packet transmissions indiscriminately. Our scheme is also shown to have better performance by approximately 7% than the conservative scheme for the tested criticality annotation.

关键词： Reliability Fault tolerance network-on-Chip Compiler support

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UR: A User-based Collaborative Filtering Recommendation System based on Trust Mechanism and Time Weighting

UR: A User-Based Collaborative Filtering Recommendation Syst...

引用

International conference on parallel and distributed Systems (ICPADS)

作者： Lei Zhang Zhijun Zhang Jufang He Zhenyu Zhang College of Intelligence and Computing Tianjin Key Laboratory of Advanced Network Technology and Application Tianjin China Key Laboratory of Grain Information Processing and Control Henan University of Technology Tianjin China

ISBN: (纸本)9781728125848

The technology of personalized recommendation is aimed at studying the behaviors of users, analyzing what they may be interested in and recommending suitable items to them. In other words, the personalized recommendation is to better solve the contradiction between the requirements of users and the explosive information on the Internet. The user-based collaborative filtering recommendation is one of the most successful technology for recommendation system. The most significant step of user-based collaborative filtering recommendation is comprehensive user similarity calculation. However, most recommendation systems ignore the indispensability of trust mechanism of the users and the time weighted users rating attributes in user similarity calculation, which leads to the inaccurate recommendation. based on these issues, this paper proposes an optimized user-based collaborative filtering recommendation system called UR. UR not only validates the necessity of the trust mechanism of the users and the time weighted users rating in the comprehensive user similarity calculation, but also improves the recommendation accuracy.

关键词： User-based collaborative filtering recommendation Time weighted user rating User similarity calculation Recommender systems Consumers collaborative filtering User needs Nonprofit Organizations Trust trust

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Multi-objective Service Oriented network Provisioning in Ultra-Scale Systems 1

引用

23rd International conference on parallel and distributed Computing (Euro-Par)

作者： Kimovski, Dragi Ristov, Sashko Matha, Roland Prodan, Radu Univ Innsbruck Inst Informat Distributed & Parallel Syst Innsbruck Austria

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

The paradigm of ultra-scale computing has been recently pushed forward by the current trends in distributed computing. This novel architecture concept is focused towards a federation of multiple geographically distributed heterogeneous systems under a single system image, thus allowing efficient deployment and management of very complex architectures applications. To enable sustainable ultra-scale computing, there are multiple major challenges, which have to be tackled, such as, improved data distribution, increased systems scalability, enhanced fault tolerance, elastic resource management, low latency communication and etc. Regrettably, the current research initiatives in the area of ultra-scale computing are in a very early stage of research and are predominantly concentrated on the management of the computational and storage resources, thus leaving the networking aspects unexplored. In this paper we introduce a promising new paradigm for cluster-based Multi-objective service-oriented network provisioning for ultra-scale computing environments by unifying the management of the local communication resources and the external inter-domain network services under a single point of view. We explore the potentials for representing the local network resources within a single distributed or parallel system and combine them together with the external communication services.

关键词： Inter-domain network provisioning Multi-objective optimization Machine learning

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parallel processing of Big Heterogeneous Data for Security Monitoring of IoT networks 25

Parallel Processing of Big Heterogeneous Data for Security M...

引用

25th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Saenko, Igor Kotenko, Igor Kushnerevich, Alexey Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat Lab Comp Secur Problems St Petersburg Russia

ISBN: (纸本)9781509060580

networks of the Internet of Things (IoT) nowadays find greater widespread in many domains. Particularities of creation of IoT make the problem of their security monitoring rather actual;it is caused by necessity of processing of big amounts of heterogeneous data in real time. The problem may be solved by means of implementation of the parallel system for security data processing within IoT on the fly basing on complex event processing (CEP) technology. The paper considers basic solutions for creating such a system. The proposed system is oriented for usage of software environment Hadoop and includes data collection, data storage, data normalization and analysis, and data visualization components. The paper discusses the issues of architecture of this system, its implementation and experimental estimation. The experiments showed that the proposed approach to creation of the system on the basis of CEP technology provides suitable scalability and is capable to meet the requirements of processing data on security events in real time in IoT.

关键词： Internet of things complex event processing Hadoop security monitoring Big Data

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Efficient Multi-Core AUTOSAR-Platform based on an Input/Output Gateway Core 25

Efficient Multi-Core AUTOSAR-Platform based on an Input/Outp...

引用

25th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Urbina, Moises Obermaisser, Roman Univ Siegen Inst Embedded Syst Siegen Germany

ISBN: (纸本)9781509060580

The AUTOSAR standard provides support for multicore systems since version 4. However, this AUTOSAR multicore version focuses on inter-core communication with a shared memory approach. In contrast, the paradigm of message-based network-on-chips provides multiples advantages for real-time embedded systems such as automotive electronics including better temporal predictability, fault containment and energy efficiency. In this paper we propose an efficient multicore architecture for AUTOSAR based on time-triggered network-on-chips and dedicated input/output cores. Additionally, a health monitoring service is integrated into the AUTOSAR ECU architecture in order to provide recovery actions in case of failures of the automotive application or the hardware of a specific core in the multiprocessor. The results demonstrate how the operating system overhead decreases considerably when using the defined input/output cores that serve as hardware accelerators for the AUTOSAR software. Also, the reliability of the system is improved significantly due to the implemented health monitoring service.

关键词： AUTOSAR mu ECU Proxy Module Health Monitoring

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GPU-based Bio-inspired Model for Solving Association Rules Mining Problem 25

GPU-based Bio-inspired Model for Solving Association Rules M...

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25th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Djenouri, Youcef Bendjoudi, Ahcene Djenouri, Djamel Comuzzi, Marco UNIST 50 UNIST Gil Ulsan 44949 South Korea CERIST DTISI Algiers Algeria

ISBN: (纸本)9781509060580

We explore in this paper the application of bio-inspired approaches to the association rules mining (ARM) problem for the purpose of accelerating the process of extracting the correlations between items in sizeable data instances. A new bio-inspired GPU-based model is proposed, which benefits from the massively GPU threading by evaluating multiple rules in parallel on GPU. To validate the proposed model, the most used bio-inspired approaches (GA, PSO, and BSO) have been executed on GPU to solve well-known large ARM instances. Real experiments have been carried out on an Intel Xeon 64 bit quad-core processor E5520 coupled to an Nvidia Tesla C2075 GPU device. The results show that the genetic algorithm outperforms PSO and BSO. Moreover, it outperforms the state-of-the-art GPU-based ARM approaches when dealing with the challenging Webdocs instance.

关键词： Bio-Inspired Approaches Association Rule Mining parallel Algorithms GPU Computing

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A parallel Implementation of WAND on GPUs

A Parallel Implementation of WAND on GPUs

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euromicro International conference on parallel, distributed and network-based processing

作者： Roussian Gaioso Veronica Gil-Costa Helio Guardia Hermes Senger Department of Computer Science Federal University of São Carlos Brazil CONICET-UNSL San Luis Argentina

In this paper we propose and evaluate new strategies for the parallel top-k query processing on GPUs. Our strategies are based on the document-at-a-time approach and have been implemented and tested with the WAND ranking algorithm. In our first strategy (named homogeneous), the posting lists are evenly partitioned among thread blocks. Our second algorithm, named heterogeneous, partitions the posting lists according to document identifier intervals, thus partitions may have different sizes. We also propose three threshold sharing policies, named Local, Safe-R and Safe-WR, which emulate the WAND algorithm global pruning technique. We evaluated our proposals using AND/OR queries, and the results show that the homogeneous algorithm allows better speedups through higher occupancy of the SMs, but at the cost of a lower recall. The heterogeneous algorithm produces the exact top-k documents and shows promising speedups. Also, the Shared-R and Shared-WR policies for threshold propagation allowed better performance, provided there is enough amount of work per thread block, which proved true for queries composed of at least a few millions documents.

关键词： Instruction sets Graphics processing units Indexes Partitioning algorithms Heuristic algorithms Clustering algorithms Search engines

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A Tracking Algorithm for Particle-like Moving Objects 25

A Tracking Algorithm for Particle-like Moving Objects

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25th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Spataro, Davide Arcuri, Paola De Rango, Alessio Spataro, William D'Ambrosio, Donato Mari, Alice Univ Calabria Dept Math & Comp Sci Ponte P Bucci 30B Arcavacata Di Rende Italy Univ Edinburgh Inst BioEngn Kings Bldg Edinburgh EH9 3BF Midlothian Scotland

ISBN: (纸本)9781509060580

Particle tracking plays an important role in numerous fields of science. In this paper, we present TraCCA, an algorithm for detecting and tracking particles based on geometrical difference evaluation and centroid displacement analysis to reconstruct the trajectories. This method works for n-dimensional input data provided that particles are represented by at least a centroid space coordinate and a geometrical entity which describe their shape. Since 2-D images are a common source of such data, we also present a framework for image-manipulation based on Extended Cellular Automata (XCA). We have applied and validated TraCCA in investigating the motility of B. subtilis. injected in a microfluidic device using 4100 images taken at 100 frames per second. Results show that the framework is able to reconstruct the trajectories as computed motion parameters are in accordance with the ones reported in the literature.

关键词： cellular automata tracking image processing bacteria motility

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Behavior Analysis for Safety and Security in Automotive Systems 25

Behavior Analysis for Safety and Security in Automotive Syst...

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25th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Rieke, Roland Seidemann, Marc Talla, Elise Kengni Zelle, Daniel Seeger, Bernhard Fraunhofer SIT Darmstadt Germany Philipps Univ Marburg Marburg Germany

ISBN: (纸本)9781509060580

The connection of automotive systems with other systems such as road-side units, other vehicles, and various servers in the Internet opens up new ways for attackers to remotely access safety relevant subsystems within connected cars. The security of connected cars and the whole vehicular ecosystem is thus of utmost importance for consumer trust and acceptance of this emerging technology. This paper describes an approach for on-board detection of unanticipated sequences of events in order to identify suspicious activities. The results show that this approach is fast enough for in-vehicle application at runtime. Several behavior models and synchronization strategies are analyzed in order to narrow down suspicious sequences of events to be sent in a privacy respecting way to a global security operations center for further in-depth analysis.

关键词： automotive security connected car predictive security analysis security modeling and simulation security monitoring complex event processing process discovery

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