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

共 4330 条记录，以下是281-290 订阅

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TLB-based Block-Grain Classification of Private Data 28

TLB-based Block-Grain Classification of Private Data

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28th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Upadhyay, Bhargavi R. Ros, Alberto Murty, N. S. Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Comp Sci & Engn Bengaluru India Univ Murcia Dept Ingn & Tecnol Comp Murcia Spain Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Elect & Commun Engn Bengaluru India

ISBN: (纸本)9781728165820

Sequential and parallel applications use most of the data as private in a multicore system. Recent proposals made use of this observation to reduce the area of the coherence directories or the memory access latency. The driving force of these proposals is the classification of private/shared memory data. The effectiveness of these proposals depends on the number of detected private data. The existing proposals perform the private/shared classification at page granularity, leading to a noticeable amount of miss-classified memory blocks. We propose a mechanism that works on block granularity using the translation lookaside buffer (TLB) to make accurate detection of private data, which increases the effectiveness of proposals relying on a private/shared classification. Simulation results show that the block-grain approach obtains 17.0% more accessed private miss data than the page-grain approach, which translates to an improvement in system performance by 6.02% compared to a page-grain approach.

关键词： directory-based cache coherence private/shared classification system performance

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Genetic Algorithms for Role Mining Problem

Genetic Algorithms for Role Mining Problem

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19th International euromicro conference on parallel, distributed and network-based processing (PDP)

作者： Saenko, Igor Kotenko, Igor St Petersburg Inst Informat & Automat SPIIRAS Lab Comp Secur Problems St Petersburg Russia

ISBN: (纸本)9780769543284

The paper proposes a new approach to solve role mining problem in role-based access control systems. This approach is founded on applying genetic algorithms as heuristic optimization methods that are effectively used when the search space is too huge to be fully explored. To realize genetic algorithms, we propose some important novelties: having many chromosomes by individuals, presentation of genes as complex objects, dividing selection and mutation into several phases, accounting data confidentiality and availability in fitness functions and other. Proposed genetic algorithms were tested on randomly generated data sets for "basic" and "edge" role mining problems. The test results allow to assert that genetic algorithms may be successfully applied to efficiently solve main kinds of role mining problems.

关键词： role-based access control role mining information security genetic algorithms

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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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Rule-based Mapping of Virtual Machines in Clouds

Rule-Based Mapping of Virtual Machines in Clouds

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19th International euromicro conference on parallel, distributed and network-based processing (PDP)

作者： Kleineweber, Christoph Keller, Axel Niehoerster, Oliver Brinkmann, Andre Univ Paderborn Paderborn Ctr Parallel Comp Paderborn Germany

ISBN: (纸本)9780769543284

Infrastructure as a Service providers use virtualization to abstract their hardware and to create a dynamic data center. Virtualization enables the consolidation of virtual machines as well as the migration of them to other hosts during runtime. Each provider has its own strategy to efficiently operate a data center. We present a rule based mapping algorithm for VMs, which is able to automatically adapt the mapping between VMs and physical hosts. It offers an interface where policies can be defined and combined in a generic way. The algorithm performs the initial mapping at request time as well as a remapping during runtime. It deals with policy and infrastructure changes. We extended the open source IaaS solution Eucalyptus and we evaluated it with typical policies: maximizing the compute performance and VM locality to achieve a high performance and minimizing energy consumption. The evaluation was done on state-of-the-art servers in our own data center and by simulations using a workload of the parallel Workload Archive. The results show that our algorithm performs well in dynamic data centers environments.

关键词： cloud mapping

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Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP 30

Towards Portable Realizations of Winograd-based Convolution ...

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30th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Dolz, Manuel F. Castello, Adrian Quintana-Orti, Enrique S. Univ Jaume 1 Castellon de La Plana Spain Univ Politecn Valencia Valencia Spain

ISBN: (纸本)9781665469586

We take a step forward in the direction of developing high performance codes for the convolution, based on the Winograd transformation, that are easy to customize for different processor architectures. In our approach, augmenting the portability of the solution is achieved via the introduction of vector intrinsics to exploit the SIMI) (single-instruction multiple-data) capabilities of current processors as well as OpenMP pragmas to exploit multi-thread parallelism. While this comes at the cost of sacrificing a fraction of the computational performance, our experimental results on two distinct processors, with Intel Xeon Skylake and ARM Cortex A57 architectures, show that the impact is affordable, and still renders a Winograd-based solution that is competitive with the general method for the convolution based on the so-called im2col transform followed by a matrix-matrix multiplication.

关键词： Convolution Winograd's algorithm high-performance vector intrinsics SIMD floating point units (FPUs) multicore processors

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Partition Pruning: parallelization-Aware Pruning for Dense Neural networks 28

Partition Pruning: Parallelization-Aware Pruning for Dense N...

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28th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Shahhosseini, Sina Albaqsami, Ahmad Jasemi, Masoomeh Bagherzadeh, Nader Univ Calif Irvine Elect Engn & Comp Sci Dept Irvine CA 92697 USA Sharif Univ Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9781728165820

As recent neural networks are being improved to be more accurate, their model's size is exponentially growing. Thus, a huge number of parameters requires to be loaded and stored from/in memory hierarchy and computed in processors to perform training or inference phase of neural network processing. Increasing the number of parameters causes a big challenge for real-time deployment since the memory bandwidth improvement's trend cannot keep up with models' complexity growing trend. Although some operations in neural networks processing are computational intensive such as convolutional layer computing, computing dense layers face with memory bandwidth bottleneck. To address the issue, the paper has proposed Partition Pruning for dense layers to reduce the required parameters while taking into consideration parallelization. We evaluated the performance and energy consumption of parallel inference of partitioned models, which showed a 7.72x speedup of performance and a 2.73x reduction in the energy used for computing pruned fully connected layers in TinyVGG16 model in comparison to running the unpruned model on a single accelerator. Besides, our method showed a limited reduction in accuracy while partitioning fully connected layers.

关键词： parallelization Deep Neural network Pruning Partitioning Hardware Accelerator

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Application Characterization for Near Memory processing 29

Application Characterization for Near Memory Processing

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29th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Hosseini, Maryam S. Ebrahimi, Masoumeh Yaghini, Pooria Bagherzadeh, Nader Univ Calif Irvine Ctr Pervas Commun & Comp CPCC Dept Elect Engn & Comp Sci Irvine CA 92697 USA KTH Royal Inst Technol Elect & Embedded Syst Dept Stockholm Sweden

ISBN: (纸本)9781665414555

Data movement between memory subsystem and processor unit is a crippling performance and energy bottleneck for data-intensive applications. Near Memory processing (NMP) is a promising solution to alleviate the data movement bottleneck. The introduction of 3D-stacked memories and more importantly hybrid memory systems enable the long-wished NMP capability. This work explores the feasibility and efficacy of having NMP on the hybrid memory system for a given set of applications. In this paper, we first redefine a set of NMP-centric performance metrics in order to analyze the efficacy of a given processing unit. Leveraging the proposed metrics, we characterize various sets of applications to assess the suitability of a processing unit in terms of performance. Specifically, in this work we motivate the efficiency of NMP subsystems to process memory-intensive applications when 3D-NVM technologies are employed.

关键词： Data-intensive applications Near memory processing 3D-stacked memory technology

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Towards On-the-fly Self-Adaptation of Stream parallel Patterns 29

Towards On-the-fly Self-Adaptation of Stream Parallel Patter...

引用

29th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Vogel, Adriano Mencagli, Gabriele Griebler, Dalvan Danelutto, Marco Fernandes, Luiz Gustavo Pontifical Catholic Univ Rio Grande do Sul PUCRS Sch Technol Porto Alegre RS Brazil Tres de Maio Fac SETREM Lab Adv Res Cloud Comp LARCC Tres De Maio Brazil Univ Pisa UNIPI Comp Sci Dept Pisa Italy

ISBN: (纸本)9781665414555

Stream processing applications compute streams of data and provide insightful results in a timely manner, where parallel computing is necessary for accelerating the application executions. Considering that these applications are becoming increasingly dynamic and lung-running, a potential solution is to apply dynamic runtime changes. However, it is challenging for humans to continuously monitor and manually self-optimize the executions. In this paper, we propose self-adaptiveness of the parallel patterns used, enabling flexible on-the-fly adaptations. The proposed solution is evaluated with an existing programming framework and running experiments with a synthetic and a real-world application. The results show that the proposed solution is able to dynamically self-adapt to the most suitable parallel pattern configuration and achieve performance competitive with the best static cases. The feasibility of the proposed solution encourages future optimizations and other applicabilities.

关键词： parallel Computing parallel Patterns parallelism Abstractions Self adaptive systems Stream processing

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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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Application of a Technique for Secure Embedded Device Design based on Combining Security Components for Creation of a Perimeter Protection System 24

Application of a Technique for Secure Embedded Device Design...

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24th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Desnitsky, Vasily Chechulin, Andrey Kotenko, Igor Levshun, Dmitry Kolomeec, Maxim Russian Acad Sci SPHRAS St Petersburg Inst Informat & Automat St Petersburg Russia

ISBN: (纸本)9781467387767

From information security point of view embedded devices are the elements of complex systems operating in a potentially hostile environment. Therefore development of embedded devices is a complex task that often requires expert solutions. The complexity of the task of developing secure embedded devices is caused by various types of threats and attacks that may affect the device, as well as that in practice security of embedded devices is usually considered at the final stage of the development process in the form of adding additional security features. The paper proposes a design technique and its application that will facilitate development of secure and energy efficient embedded devices. The technique organizes the search for the best combinations of security components on the basis of solving an optimization problem. The efficiency of the proposed technique is demonstrated by development of a room perimeter protection system.

关键词： embedded devices cyber-physical systems perimeter control design of secure cyber-physical systems

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