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检索条件"任意字段=8th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1804 条记录，以下是441-450 订阅

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Low Precision Deep Learning Training on Mobile Heterogeneous Platform

Low Precision Deep Learning Training on Mobile Heterogeneous...

引用

26th Euromicro international conference on parallel, distributed, and Network-Based Processing (PDP)

作者： Valery, Olivier Liu, Pangfeng Wu, Jan-Jan Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei Taiwan Acad Sinica Inst Informat Sci Res Ctr Informat Technol Innovat Taipei Taiwan

ISBN: (纸本)9781538649756

Recent advances in System-on-Chip architectures have made the use of deep learning suitable for a number of applications on mobile devices. Unfortunately, due to the computational cost of neural network training, it is often limited to inference task, e.g., prediction, on mobile devices. In this paper, we propose a deep learning framework that enables both deep learning training and inference tasks on mobile devices. While being able to accommodate with the heterogeneity of computing devices technology on mobile devices, it also uses OpenCL to efficiently leverage modern SoC capabilities, e.g., multi-core CPU, integrated GPU and shared memory architecture, and accelerate deep learning computation. In addition, our system encodes the arithmetic operations of deep networks down to 8-bit fixed-point on mobile devices. As a proof of concept, we trained three well-known neural networks on mobile devices and exhibited a significant performance gain, energy consumption reduction, and memory saving.

关键词： OpenCL GPGPU mobile computing heterogeneous system System-on-Chip deep learning transfer learning

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New features of the JINR cloud 8

New features of the JINR cloud

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Baranov, A.V. Balashov, N.A. Makhalkin, A.N. Mazhitova, Ye.M. Kutovskiy, N.A. Semenov, R.N. Laboratory of Information Technologies Joint Institute for Nuclear Research 6 Joliot-Curie Dubna Moscow Region141980 Russia Institute of Nuclear Physics 1 Ibragimova Street Almaty050032 Kazakhstan Plekhanov Russian University of Economics 36 Stremyanny Per. Moscow117997 Russia

the report covers details on such aspects of the JINR cloud development as migration to high availability setup based on Raft consensus algorithm, Ceph-based storage back-end for VM images and Dirac-based grid platform for external partner clouds integration into distributed computational cloud environment. © 2018 Alexandr V. Baranov, Nikita A. Balashov, Alexandr N. Makhalkin, YelenaM. Mazhitova, Nikolay A. Kutovskiy, Roman N. Semenov.

关键词： Ceph Cloud bursting Cloud computing Clouds integration Dirac OpenNebula

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6th international conference on Simulation and Modeling Methodologies,technologies and applications, SIMULTECH 2016

6th International Conference on Simulation and Modeling Meth...

引用

6th international conference on Simulation and Modeling Methodologies,technologies and applications, SIMULTECH 2016

ISBN: (纸本)9783319698311

the proceedings contain 17 papers. the special focus in this conference is on Simulation and Modeling Methodologies,technologies and applications. the topics include: Agent-Based Modelling and Simulation Framework for Health Care;parameter Identification of Canalyzing and Nested Canalyzing Boolean Functions with Ternary Vectors for Gene Networks;the Power of Surrogate-Assisted Evolutionary computing in Searching Vaccination Strategy;modelling Population Dynamics Using a Hybrid Simulation Approach: Application to Healthcare;a Simulation-Based Dynamic Scheduling Method in Project Cost Estimation Process;future Prediction of Regional City Using Causal Inference Based on Time Series Data;Cooperative Radio Resources Allocation and Congestion Prevention Scheme for LTE-A;model-Based Development of a Multi-algorithm Harvest Planning System;cluster Performance Simulation for Spark Deployment Planning, Evaluation and Optimization;generator Platform of Benchmark Time-Lapsed Images Development of Cell Tracking Algorithms: Implementation of New Features Towards a Realistic Simulation of the Cell Spatial and Temporal Organization;proteins Flexibility as a Criterion for Elucidation of Activating Mutants in Personalized Cancer Medicine;distributed PowerShell Load Generator (D-PLG): A Tool for Generating Dynamic Network Traffic;HLogo: A Haskell STM-Based parallel Variant of NetLogo;requirements Gathering and Validation for Risk-Oriented Tool Support in Supply Chains;making Network Solvers Globally Convergent.

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Real-Time Simulation and Close-Loop Testing of Microgrids

Real-Time Simulation and Close-Loop Testing of Microgrids

引用

international conference on Advanced Power System Automation and Protection (APAP)

作者： Haiyue Wang Eric Xu RTDS Technologies Inc. Winnipeg MB Canada

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

As distributed Energy Resources (DERs) are progressively integrated into electrical power systems, studies related to microgrid systems arise. Suitable testing tools are essential to accurately design and investigate microgrids and also to evaluate the corresponding control systems. this paper presents a testing platform for real-time simulation of microgrids with hardware-in-the-loop (HIL). A microgrid system with multiple DERs and loads is simulated in RTDS® real-time digital simulator. Typical control schemes for islanding detection, load shedding, and capacitor bank switching associated with the islanded and grid-connected operation are implemented in the physical controller, which is interfaced with RTDS using several communication protocols. the presented testing platform proves the feasibility of real-time simulation for microgrid applications with flexibility for various testing scenarios.

关键词： Microgrids Real-time systems Load modeling Control systems Switches Testing Capacitors

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Network Traffic Generator Based on distributed Agent for Large-Scale Network Emulation Environment 8th

Network Traffic Generator Based on Distributed Agent for Lar...

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8th international conference on Intelligence Science and Big Data Engineering (IScIDE)

作者： Kuang, Xiao-hui Li, Jin Xu, Fei Natl Key Lab Sci & Technol Informat Syst Secur Beijing Peoples R China

ISBN: (纸本)9783030026981;9783030026974

Network traffic generation is one of the key technologies used to construct a network emulation environment for research into network protocols, applications and security mechanisms. In this paper, a new network traffic generator called NTGEDA is proposed that can generate network layer, application layer and user layer traffic on demand based on distributed agent architecture and the multi-level traffic model. the generator is evaluated by means of implementation. Experimental results illustrate that it is efficient in the network emulation environment for network protocols and security research.

关键词： Network traffic generation distributed agent End-user emulation Behavior model

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Soft-switching - the Key to High Power WBG Converters 8

Soft-switching - The Key to High Power WBG Converters

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8th international Power Electronics conference (IPEC-Niigata) / Energy Conversion Congress and Exposition (ECCE Asia)

作者： Divan, Deepak An, Zheng Kandula, Prasad Georgia Inst Technol Ctr Distributed Energy Atlanta GA 30332 USA

ISBN: (纸本)9784886864055

this paper proposes that viable high-voltage high-power converters using wide band-gap SiC devices, will require the use of soft-switching, in particular zero-voltage switching techniques, if system parasitics and high switching speeds are to be managed. An easy to understand and use quantitative comparison of different approaches can help us with selection of specific technologies for given applications. this paper presents the limitations of current approaches, and proposes a new converter figure of merit (CFOM) as the basis for understanding the limitations of high power converters based on wide band-gap SiC devices, showing that soft-switching is the key.

关键词： Soft-switching Solid-state transformers zero voltage switching wide band-gap converters

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Creating tools to assist in development of CMS software 8

Creating tools to assist in development of CMS software

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Adamov, G. Laboratory of Information Technologies Joint Institute for Nuclear Research 6 Joliot-Curie Dubna Moscow Region141980 Russia Institute of Quantum Physics and Engineering Technologies Georgian Technical University 77 Kostava Str. Tbilisi0175 Georgia

Software packages, created for the modern physics experiments, present a sets intertwined code structures, written by different people and bundled together to perform range of different reconstruction and analysis tasks on the experimental data. Sometimes due to complicated nature of such frameworks a new set of tools is required to simplify their further development. In this work we investigate an example of such tool, created for the CMS experiment to analyse the structure of its software components. © 2018 George Adamov.

关键词： Python

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parallel Multipoint Approximation Method for Large-Scale Optimization Problems 12th

Parallel Multipoint Approximation Method for Large-Scale Opt...

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12th international Scientific conference on parallel Computational technologies (PCT)

作者： Gergel, Victor P. Barkalov, Konstantin A. Kozinov, Evgeny A. Toropov, Vassili V. Lobachevsky State Univ Nizhny Novgorod Nizhnii Novgorod Russia Queen Mary Univ London London England

ISBN: (纸本)9783319996738;9783319996721

the paper presents a new development in the Multipoint Approximation Method (MAM) that makes it capable of handling large-scale problems. the approach relies on approximations built in the space of design variables within the iterative trust-region-based framework of MAM. With the purpose of solving high dimensionality problems in a reasonable time, a parallel variant of the Multipoint Approximation Method (PMAM) has been developed. It is supposed that the values of the objective function and those of the constraints are computed using distributed memory (on several cluster nodes), whereas the optimization module runs on a single node using shared memory. Numerical experiments have been carried out on a benchmark example of structural optimization.

关键词： Design optimization Multidisciplinary optimization Multipoint approximation method parallel computing

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HSAStore: A Hierarchical Storage Architecture for computing Systems Containing Large-Scale Intermediate Data 13th

HSAStore: A Hierarchical Storage Architecture for Computing ...

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13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - Networking, applications and Worksharing (CollaborateCom)

作者： Zhang, Zhoujie Xiao, Limin Su, Shubin Ruan, Li Wei, Bing Zhou, Nan Liu, Xi Wang, Haitao Wei, Zipeng Beihang Univ State Key Lab Software Dev Environm Beijing 100191 Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China Space Star Technol Co Ltd Beijing 100086 Peoples R China

ISBN: (纸本)9783030009168;9783030009151

this paper introduces HSAStore, a newly designed storage system whose goal goes to build an efficient storage system for computing systems that containing large-scale intermediate data. HSAStore involves three sub-systems to work together, a distributed file system which is in charge of the intermediate data, a centralized Network Attached Storage (NAS) which stores the raw input data and the results data, and a local file system that serves for the local data. the HSAStore takes full advantage of the network bandwidth of the computing cluster. Moreover, HSAStore adopts the distributed file system, so it is helpful for efficient execution of parallel programs. Experiments show that HSAStore has a significant improvement on efficiency in the computing systems that containing large-scale intermediate data.

关键词： Hierarchical storage architecture Bandwidth bottleneck Large-scale intermediate data distributed file system

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Grid and cloud infrastructure of the data center Institute of Physics NAS of Azerbaijan 8

Grid and cloud infrastructure of the data center Institute o...

引用

Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Bondyakov, A.S. Laboratory of Information Technologies Joint Institute for Nuclear Research 6 Joliot-Curie Dubna Moscow Region141980 Russia Institute of Physics 33 H.Javid Ave. BakuAZ1143 Azerbaijan

the main directions of development of the data center of the Institute of Physics of NAS of Azerbaijan are grid and cloud technologies. the grid site of the data center is integrated into the EGI/WLCG and ATLAS (CERN) infrastructures, thereby users of the data center have the opportunity to use grid resources of this infrastructures. Cooperation with international scientific centers of JINR, CERN in the information technology, contributes to the effective development of the data-center, and also helps to solve users' tasks in scientific areas such as high-energy physics, solid state physics, etc. © 2018 Aleksey S. Bondyakov.

关键词： High energy physics

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