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Knowledge acquisition using parallel rough set and mapreduce from big data

Knowledge acquisition using parallel rough set and mapreduce...

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International conference on Information Processing (ICIP)

作者： Sachin Jadhav Shubhangi Suryawanshi Department of Computer Engineering Savitribai Phule Pune University City-Pune India

ISBN: (纸本)9781467377591

These days, the volume of information is developing at an uncommon rate, enormous information mining, and learning revelation have turned into another test in the time of information mining and machine learning. Large set hypothesis for learning procurement has been effectively connected in information mining. The Map Reduce strategy got more consideration from academic group and also industry for its pertinence in unstructured huge information examination. Clusters are viably utilized for parallel handling application and obtained information speak to into different groups. In this venture we have introduced working and execution stream of the Map Reduce programming ideal model with map and reduce capacity and unpleasant set hypothesis. In this work we have design distributed system. Likewise quickly talk about diverse issues and difficulties that are confronted by Map Reduce while taking care of the huge data. Also, finally we have introduced a few focal points of the Map reduce programming model.

关键词： Rough sets Google Yarn Adaptation models programming profession Knowledge acquisition

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Analysis in performance and new model for multiple kernels executions on many-core architectures

Analysis in performance and new model for multiple kernels e...

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IEEE International conference on Cognitive Informatics

作者： Pedro Valero-Lara Fernando L. Pelayo CIEMAT Unidad de Modelización y Simulación Numérica Madrid Spain Department de Sistemas Informáticos Escuela Superior de Ingenieria Informática de Albacete Universidad de Castilla-La Mancha Albacete Spain

Nowadays, due to massively parallel characteristics of current many-core architectures, these devices are not only being used in order to exploit data-parallelism and to minimize the execution time in a single problem, but, they are beginning to be used in order both to execute and to increase the performances when executing more than one application simultaneously. In this work, we provide a performance analysis on the use of current many-core architectures for this new purpose; this performance analysis has been carried out over two different many-core architectures. Furthermore, two different programming approaches to tackle this new role have been tested. The results so obtained show that a increase in the computational requirements implies an important fall in performance. The main objective of this paper is to explain the reasons for this behavior, and afterwards, to propose a set of alternatives to deal with these disadvantages previously mentioned.

关键词： Computer architecture Instruction sets Vectors programming Kernel Indexes Analytical models

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Stability and stabilization conditions for Takagi-Sugeno fuzzy model via polyhedral Lyapunov functions

Stability and stabilization conditions for Takagi-Sugeno fuz...

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American Control conference (ACC)

作者： Willem Esterhuizen Hua O. Wang Kazuo Tanaka Xiangzhou Wang Mines ParisTech Paris ÃŽle-de-France FR Department of Mechanical Engineering and Division of Systems Engineering Boston University Boston MA USA Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Tokyo Japan School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479901777

Polyhedral Lyapunov functions (PLFs) are universal for establishing stability of Takagi-Sugeno (T-S) fuzzy models. In this paper, a stability theorem via PLFs is presented for T-S models, and it is shown that stability can be established via linear programming. Furthermore, nonconvex stabilization conditions are stated that, if satisfied, specify a parallel distributed compensation (PDC) controller as well as a PLF which proves stability of the closed loop system. An algorithm is presented as an initial step in working around the nonconvex stabilization conditions, and has shown to be useful in the computation of PDC controllers.

关键词： Stability analysis Lyapunov methods Computational modeling PD control Linear programming Takagi-Sugeno model

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A GPU-based Architecture for parallel Image-aware Version Control

A GPU-based Architecture for Parallel Image-aware Version Co...

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(CSMR) European conference on Software Maintenance and Reengineering

作者： Jose Ricardo da Silva Junior Toni Pacheco Esteban Clua Leonardo Murta Instituto de Computação Universidade Federal Fluminense (UFF) Niteroi Brazil

Version control is considered a vital component for supporting professional software development and has been widely used for textual artifacts, like source code. However, binary artifacts have received small attention when compared to the former. This fact can impose huge restrictions for projects in the game and media industry, which use large amount of binary data, such as images, videos, graphics, 3D models, and animations, together with source code. For these kinds of artifacts, existing strategies, such as storing the file as a whole for each commit or performing conventional binary delta, consume significant storage space with duplicate data, and even worse, lose vital semantic information. As a response to this problem, this paper introduces an infrastructure to support version control of image artifacts. Due to the amount of data that must be processed, we implemented our proposal using a GPU architecture, allowing a massively parallel approach for version control. The proposed architecture provides speedup over 55 X if compared to the same implementation in CPU.

关键词： Graphics processing unit Computer architecture Image color analysis Process control Image reconstruction Context programming

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The design and implementation of the Cortex visualization system 94

The design and implementation of the Cortex visualization sy...

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IEEE conference on Visualization

作者： D. Banerjee C. Morley W. Smith Centerra Resource Park Fluent Inc. Lebanon NH USA

ISBN: (纸本)9780780325210

Cortex has been designed for interactive analysis and display of simulation data generated by CFD applications based on unstructured-grid solvers. Unlike post-processing visualization environments, Cortex is designed to work in co-processing mode with the CFD application. This significantly reduces data storage and data movement requirements for visualization and also allows users to interactively steer the application. Further, Cortex supports high-performance by running on massively parallel computers and workstation clusters. An important goal for Cortex, is to provide visualization to a variety of solvers which differ in their solution methodologies and supported flow models. Coupled with the co-processing requirement, this has required the development of a well defined programming interface to the CFD solver that lets the visualization system communicate efficiently with the solver, and requires minimal programming effort for porting to new solvers. Further, the requirement for targeting multiple solvers and application niches demands that the visualization system be rapidly and easily modifiable. Such flexibility is attained in Cortex by using the high-level, interpreted language Scheme for implementing user-interfaces and high-level visualization functions. By making the Scheme interpreter available from the Cortex text interface, the user can also customize and extend the visualization system.< >

关键词： Data visualization Computational fluid dynamics Brain modeling Displays Memory Application software Workstations Analytical models Concurrent computing Computer networks

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CUDA-Based GPU Acceleration of Warpxm Continuum Kinetic Modeling

CUDA-Based GPU Acceleration of Warpxm Continuum Kinetic Mode...

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IEEE International conference on Plasma Science (ICOPS)

作者： I. Datta E. T. Meier U. Shumlak Zap Energy Inc. Theory &#x0026 Modeling Seattle Washington United States of America University of Washington Aeronautics &#x0026 Astronautics Seattle Washington United States of America

ISBN: (纸本)9781665479264

High-fidelity simulations of plasma dynamics using the continuum kinetic model are challenging due to the high dimensionality of the Vlasov equation, involving up to three dimensions in both space and velocity. However, the model is useful for understanding the plasma physics associated with sheared-flow-stabilized Z pinches that cannot be easily deduced from reduced multi-fluid models. Therefore, efforts to reduce computational time and resources required for simulations involving the continuum kinetic model are important to help gain a full understanding of various aspects of these Z pinches. This research involves work to accelerate an existing high order discontinuous Galerkin implementation of the continuum kinetic model in the WARPXM framework developed at the University of Washington and Zap Energy, harnessing massively parallel GPU architectures using the CUDA programming language. Preliminary results comparing CPU and GPU timings will be presented as well as lessons learned.

关键词： Computer languages Computational modeling conferences Graphics processing units Computer architecture Mathematical models Kinetic theory

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Static Mapping of Real-Time Applications onto massively parallel Processor Arrays

Static Mapping of Real-Time Applications onto Massively Para...

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International conference on Application of Concurrency to System Design

作者： Thomas Carle Manel Djemal Dumitru Potop-Butucaru Robert De Simone Zhen Zhang INRIA Rocquencourt France Inria Le Chesnay ÃŽle-de-France FR IRT SystemXlFSF Saclay France

On-chip networks (NoCs) used in multiprocessor systems-on-chips (MPSoCs) pose significant challenges to both on-line (dynamic) and off-line (static) real-time scheduling approaches. They have large numbers of potential contention points, have limited internal buffering capabilities, and network control operates at the scale of small data packets. Therefore, efficient resource allocation requires scalable algorithms working on hardware models with a level of detail that is unprecedented in real-time scheduling. We consider here a static scheduling approach, and we target massively parallel processor arrays (MPPAs), which are MPSoCs with large numbers (hundreds) of processing cores. We first identify and compare the hardware mechanisms supporting precise timing analysis and efficient resource allocation in existing MPPA platforms. We determine that the NoC should ideally provide the means of enforcing a global communications schedule that is computed off-line (before execution) and which is synchronized with the scheduling of computations on processors. On the software side, we propose a novel allocation and scheduling method capable of synthesizing such global computation and communication schedules covering all the execution, communication, and memory resources in an MPPA. To allow an efficient use of the hardware resources, our method takes into account the specificities of MPPA hardware and implements advanced scheduling techniques such as software pipelining and pre-computed preemption of data transmissions. We evaluate our technique by mapping two signal processing applications, for which we obtain good latency, throughput, and resource use figures.

关键词： Processor scheduling Real-time systems Timing Resource management Computer architecture Hardware Optimal scheduling

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High Performance parallel JPEG2000 Streaming Decoder Using GPGPU-CPU Heterogeneous System

High Performance Parallel JPEG2000 Streaming Decoder Using G...

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International conference on Application Specific Systems (ASAP), Architectures and Processors

作者： Roto Le Joseph L. Mundy R. Iris Bahar School of Engineering Brown University Providence RI USA

The JPEG2000 image coding standard provides many superior features compared to JPEG and other compression standards. However, the relatively slow performance of JPEG2000, especially in software implementations, is a critical drawback of the standard. Moreover, as image sizes rapidly grow in size, higher demands on performance for image coding and processing are introduced, making the slow performance of JPEG2000 even further pronounced. While much effort over the past decade has been devoted to accelerating the JPEG2000 encoder, there have been very few studies focusing on improving the performance of the JPEG2000 decoder, despite the fact that the performance of the decoder is just as critical as the encoder. This paper proposes a high-performance JPEG2000 decoder that efficiently exploits the recent improvements of modern parallel programming models and hardware architectures. Specifically, a parallel streaming decoder running on a GPGPU-CPU heterogeneous system is developed to fully exploit the flexibility of the high-performance multi-core CPUs and the massively parallel capability of GPGPUs. In addition, a new task scheduling strategy is developed that exploits the soft-heterogeneity in OpenCL and C/C++ at runtime in order to gain a significant performance boost. Running on a heterogeneous configuration of one Nvidia GTX 480 GPU and one Intel Core i7 CPU, the parallel streaming decoder gains more than 8X speedup in runtime compared to the JasPer JPEG2000 software implementation.

关键词： Decoding Transform coding Streaming media parallel processing Acceleration Runtime Context

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Efficient parallel GCD Algorithms for Multicore Shared Memory Architectures

Efficient Parallel GCD Algorithms for Multicore Shared Memor...

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International conference on Advances in ICT for Emerging Regions

作者： Gihan Tharaka Pathirana Sittampalam Sotheeswaran Nagulan Ratnarajah Faculty of Science Eastern University Sri Lanka Faculty of Applied Science Vavuniya Campus of the University of Jaffna Sri Lanka

ISBN: (数字)9781728186559

ISBN: (纸本)9781728186566

The greatest common divisor (GCD) is used for numerous applications in number theory, modular arithmetic, encryption algorithms such as RSA, random number generation, and solving linear Diophantine equations. High-performance algorithms, which are efficiently and accurately find the GCD of two integers and n (>2) integers, are needed in the modern world for many applications in science and engineering. parallel hardware and parallel programming solve such emerging challenges that are not possible in a serial world. Modern desktop and laptop computers are equipped with multicore processors with shared memory architecture. In this paper, we develop novel efficient parallel n integers GCD algorithms for multicore shared memory architecture. The brute force, divide-and-conquer, linear recursive and finding minimum first techniques are adopted in our novel algorithms to reduce the size and the complexity of the n integers GCD problem. Various working models of OpenMP, such as the thread-centric, loop-centric and task-centric models are utilized, which promised a more natural way of exploiting and expressing regular and irregular algorithms. A comprehensive performance analysis applies to prove the efficiency of the proposed algorithms.

关键词： parallel algorithms Task analysis Multicore processing Time complexity Software algorithms Memory architecture Heuristic algorithms

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Analysis of Source Code Based on Changes in its State Over Time - Using User Behavior models

Analysis of Source Code Based on Changes in its State Over T...

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Automatics and Informatics (ICAI), International conference

作者： Mihail Petrov Vladimir Valkanov Mathematics and Informatic Faculty Plovdiv University Plovdiv Bulgaria

One of the popular trends for increasing productivity in the development of software products is related to integrating tools based on artificial intelligence, which actively supports software engineers' actions in dealing with syntactic and semantic problems. A parallel can quickly be drawn between a similar class of tools and the platforms to train future developers. However, the main drawback of most media of this nature is the focus on the result of the problem and the complete ignoring of the intermediate steps aimed at analyzing the behavior of the developer. In this article, we will pay attention to analyzing syntactic, semantic, platform, and analytical problems generated as a result of working on programming problems in a virtual educational environment.

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