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检索条件"主题词=Parallel and distributed computing"

共 270 条记录，以下是121-130 订阅

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LuNA Fragmented Programming System, Main Functions and Peculiarities of Run-Time Subsystem

LuNA Fragmented Programming System, Main Functions and Pecul...

引用

11th International Conference on parallel computing Technologies

作者： Malyshkin, Victor E. Perepelkin, Vladislav A. Russian Acad Sci Inst Computat Math & Math Geophys Novosibirsk Russia

The peculiarities of the LuNA run-time subsystem implementation are considered. LuNA is the language and system of fragmented programming. The peculiarities are conditioned by the properties of numerical algorithms, t... 详细信息

ISBN: (纸本)9783642231773

关键词： run-time parallel and distributed computing parallel programming language and system model of parallel program

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Programming Problems with a Large Number of Objective Functions

Programming Problems with a Large Number of Objective Functi...

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International Conference on Numerical Methods and Applications

作者： Resteanu, Cornel Trandafir, Romica Natl Inst Res & Dev Informat 8-10 Averescu Ave Bucharest 011455 1 Romania Tech Univ Civil Engn Bucharest 020396 Romania

ISBN: (纸本)9783642184659

The paper treats the Multi-Objective Programming problem with a large composite set of (linear and nonlinear) objective functions, the domain of feasible solutions being defined by a set of linear equalities/inequalities representing a large scale problem. One constructs a preferred solution i.e. a non-dominated solution chosen via extending the decision-making framework. A feasible approach, for this class of problems, is to use a solver for the Linear Programming problems and a solver for Multiple Attribute Decision Making problems in combination with parallel and distributed computing techniques based on a GRID configuration.

关键词： Multi-Objective Programming Large Scale Problems Multiple Attribute Decision Making parallel and distributed computing GRID Nets

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The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011)

The Sixth International Workshop on Automatic Performance Tu...

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International Conference on Computational Science (ICCS) on the Ascent of Computational Excellence

作者： Katagiri, Takahiro Vuduc, Richard Univ Tokyo Ctr Informat Technol Bunkyo Ku 2-11-16 Yayoi Tokyo 1138658 Japan Georgia Inst Technol Sch Comp Sci & Engn Atlanta GA 30332 USA

This preface summarizes The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011).

关键词： Performance modeling Adaptive algorithms Numerical algorithms and libraries Scientific applications parallel and distributed computing computing with GPGPU and accelerators Database management system Numerical precision and stability Resource restrictions (real-time, memory etc.) Empirical Compilation Automatically-tuned Code Generation Frameworks and theories of automatic tuning and software optimization Autonomic computing and context-aware computing Low-power computing and green computing Position papers

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What Are the Limits of Evolutionary Induction of Decision Trees? 15th

What Are the Limits of Evolutionary Induction of Decision Tr...

引用

15th International Conference on parallel Problem Solving from Nature (PPSN)

作者： Jurczuk, Krzysztof Reska, Daniel Kretowski, Marek Bialystok Tech Univ Fac Comp Sci Wiejska 45a PL-15351 Bialystok Poland

ISBN: (纸本)9783319992594;9783319992587

For typical assessment of applying machine learning or data mining techniques, accuracy and interpretability are usually the most important elements. However, when the analyst is faced with real contemporary big data problems, scalability and efficiency become crucial factors. parallel and distributed processing support is often an indispensable component of operational solutions. In the paper, we investigate the applicability of evolutionary induction of decision trees to large-scale data. We focus on the existing Global Decision Tree system, which searches the tree structure and tests in one run of an evolutionary algorithm. Evolved individuals are not encoded, so the specialized genetic operators and their application schemes are used. As in most evolutionary data mining systems, every fitness evaluation needs processing the whole training dataset. For high-dimensional datasets, this operation is very time consuming and to overcome this deficiency, two acceleration solutions, based on the most promising, latest approaches (NVIDIA CUDA and Apache Spark) are presented. The fitness calculations are delegated, while the core evolution is unchanged. In the experimental part, among others, we identify what are dataset dimensions which can be efficiently processed in the fixed time interval.

关键词： Evolutionary data mining Decision trees parallel and distributed computing Spark GPU CUDA

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ABET Accreditation: A Way Forward for PDC Education

ABET Accreditation: A Way Forward for PDC Education

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35th IEEE International parallel and distributed Processing Symposium (IPDPS)

作者： Aly, Sherif G. Harmanani, Haidar Raj, Rajendra K. Sharafeddine, Sanaa Amer Univ Cairo Dept Comp Sci & Engn Cairo Egypt Lebanese Amer Univ Dept Comp Sci & Math Beirut Lebanon Rochester Inst Technol Dept Comp Sci Rochester NY 14623 USA

ISBN: (纸本)9781665435772

With parallel and distributed computing (PDC) now wide-spread, modern computing programs must incorporate PDC within the curriculum. ACM and IEEE Computer Society's Computer Science curricular guidelines have recommended exposure to PDC concepts since 2013. More recently, a variety of initiatives have made PDC curricular content, lectures, and labs freely available for undergraduate computer science programs. Despite these efforts, progress in ensuring computer science students graduate with sufficient PDC exposure has been uneven. This paper discusses the impact of ABET's revised criteria that have required exposure to PDC to achieve accreditation for computer science programs since 2018. The authors reviewed 20 top ABET-accredited computer science programs and analyzed how they covered the required PDC components in their curricula. Using their own institutions as case studies, the authors examine in detail how three different ABET-accredited computer science programs covered PDC using different approaches, yet meeting the PDC requirements of these ABET criteria. The paper also shows how ACM/IEEE Computer Society curricular guidelines for computer engineering and software engineering programs, along with ABET accreditation criteria, can cover PDC.

关键词： parallel and distributed computing computing programs curricular guidelines ABET accreditation

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Big Data Processing in the ATLAS Experiment: Use Cases and Experience 4th

Big Data Processing in the ATLAS Experiment: Use Cases and E...

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4th International Young Scientists Conference on Computational Science (YSC)

作者： Borodin, Mikhail De, Kaushik Garcia Navarro, Jose Golubkov, Dmitry Klimentov, Alexei Maeno, Tadashi South, David Vaniachine, Alexandre IV Kurchatov Atom Energy Inst Big Data Lab Natl Res Ctr Moscow 123182 Russia Natl Res Nucl Univ MEPhI Moscow Russia Univ Texas Arlington Arlington TX USA Univ Valencia Inst Fis Corpuscular E-46003 Valencia Spain Inst High Energy Phys Protvino Russia Brookhaven Natl Lab Upton NY 11973 USA DESY Hamburg Germany Argonne Natl Lab Argonne IL 60439 USA

The physics goals of the next Large Hadron Collider run include high precision tests of the Standard Model and searches for new physics. These goals require detailed comparison of data with computational models simulating the expected data behavior. To highlight the role which modeling and simulation plays in future scientific discovery, we report on use cases and experience with a unified system built to process both real and simulated data of growing volume and variety.

关键词： Big Data Grid-based Simulation and computing parallel and distributed computing Large Scale Scientific Instruments

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Dependability Verification of parallel Differential Evolutionary Particle Swarm Optimization Based Voltage and Reactive Power Control

Dependability Verification of Parallel Differential Evolutio...

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IEEE International Conference on Power System Technology (POWERCON)

作者： Iwata, Sohei Fukuyama, Yoshikazu Meiji Univ Sch Interdisciplinary Math Sci Tokyo 101 Japan

ISBN: (纸本)9781467388481

This paper evaluates dependability of parallel differential evolutionary particle swarm optimization (DEEPSO) based voltage and reactive power control (Volt/Var Control: VVC). Considering large penetration of renewable energies and deregulated environment of power systems, VVC is required to realize faster computation to larger-scale problems and one of the solutions for the problem is applications of parallel and distributed computing. Since power system is one of the infrastructures of social community, not only fast computation, but also sustainable control (dependability) is strongly required for VVC. The simulation results with IEEE 118 bus systems indicate that parallel DEEPSO is superior to parallel PSO and parallel differential evolution (DE) from the dependability point of view.

关键词： Dependability parallel and distributed computing parallel differential evolutionary particle swarm optimization Voltage and reactive power control

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Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBase 8

Dynamic Load Balance for Hot-spot and Unbalance Region Probl...

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8th IEEE International Conference on Big Data (Big Data)

作者： Chen, Yibo Xiang, Xing Ling, Xiao Zhang, Xiangchi Wu, Fan Gao, Jianliang State Grid Hunan Elect Power Co Ltd Informat & Commun Branch Changsha Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China

ISBN: (纸本)9781728162515

In distributed storage, dynamic loads usually cause a huge burden such as hot-spot and unblance region problems. In this paper, we focus on the problems of dynamic unbalance loads in distributed database HBase. Firstly, we propose a new intelligent load balance framework to support the collection and analysis of dynamic load information. Then, two efficient load balance strategies are proposed to solve hot-spot problem and unbalance region problem. Finally, we evaluate the strategies on HBase using real-world big data on distributed clusters. Compared to the existing balance strategies, the proposed load balance strategies can make more effective use of the resources and reduce the response time for large dynamic loads.

关键词： distributed storage parallel and distributed computing dynamic loads intelligent load balance

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Teaching Modern Multithreading in CS2 with Actors 34

Teaching Modern Multithreading in CS2 with Actors

引用

34th IEEE International parallel and distributed Processing Symposium (IPDPS)

作者： Lewis, Mark C. Lacher, Lisa L. Trinity Univ Dept Comp Sci San Antonio TX 78212 USA Univ Houston Clear Lake Dept Comp Sci Houston TX USA

ISBN: (纸本)9781728174457

Explosive growth in multiprocessor computing and the pervasive nature of multicore processors has not only made multithreading and related topics such as parallelism, concurrency, synchronization, etc. an essential part of any undergraduate Computer Science curriculum, it has also lead to the addition of newer constructs to support multithreading in many languages. Not only is it important to motivate student interest in this topic, it is important that they are also educated in current methods used in industry. This can mean an increase in material that needs to be covered. Because of the increase in scope of a CS education, teaching topics in parallel and distributed computing in a hands-on manner is challenging, thus it is valuable for educators to explore different methods of educational delivery in order to best engage their students within the limits of curriculum timelines. The actor model is immensely popular in industry and runs some of the most important software today. In this paper, we describe how we are using Actors as a significant part of the multithreading coverage at the CS2 level, for first-year computer science majors. We also describe a semesterlong project that involves the use of these concepts to help solidify student understanding and present student feedback on the project and approach.

关键词： Computer Science Education parallel and distributed computing multithreading actors futures Scala

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A Massively parallel Dense Symmetric Eigensolver with Communication Splitting Multicasting Algorithm

A Massively Parallel Dense Symmetric Eigensolver with Commun...

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9th International Conference on High Performance computing for Computational Science

作者： Katagiri, Takahiro Itoh, Shoji Univ Tokyo Ctr Informat Technol Bunkyo Ku 2-11-16 Yayoi Tokyo 1138658 Japan RIKEN Adv Ctr Comp & Commun Saitama Japan

ISBN: (纸本)9783642193279

In this paper. we propose a process grid free algorithm for a massively parallel dense symmetric eigensolver with a communication splitting multicasting algorithm. In this algorithm, a tradeoff exists between speed and memory space to keep the Householder vectors. As a result of a performance evaluation with the T2K Open Supercomputer (U. Tokyo) and the RX200S5, we obtain the performance with 0.86x and 0.95x speed-downs and 1/2 memory space compared to the conventional algorithm for a square process grid. We also show a new algorithm for small-sized matrices in massively parallel processing that takes an appropriately small value of p of the process grid p x q. In this case, the execution time of inverse transformation is negligible.

关键词： parallel and distributed computing numerical algorithms for CS&E

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