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parallel Operation of Modular Single-Phase Transformerless Grid-Tied PV Inverters With Common DC Bus and AC Bus

ieee JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS 2015年第4期3卷 858-869页

作者： Zhang, Li Sun, Kai Xing, Yan Zhao, Jinquan Hohai Univ Coll Energy & Elect Engn Nanjing 211100 Jiangsu Peoples R China Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China Nanjing Univ Aeronaut & Astronaut Jiangsu Key Lab Renewable Energy Generat & Power Nanjing 210016 Jiangsu Peoples R China

In order to enhance the efficiency and reliability of dc-module-type photovoltaic (PV) generation systems, the single-phase transformerless full-bridge grid-tied inverters with a common dc bus and ac bus are utilized as the dc-ac stage. the high-frequency circulating current issue of parallel-operated single-phase grid-tied inverters with different topologies and modulation strategies are investigated. the conditions of high-frequency circulating currents elimination without additional hardware costs are revealed and presented. the analysis indicates that there are no high-frequency circulating currents between parallel-operated inverters with bipolar pulsewidth modulation (PWM). the parallel-operated inverters with unipolar double frequency PWM have high-frequency circulating currents, but the effects of the high-frequency circuiting currents on the fundamental components of split-filter inductor currents can be mitigated. the parallel-operated inverters with a unipolar PWM also have high-frequency circulating currents, but their effects on the fundamental components of split-filter inductor currents cannot be reduced. the single-phase transformerless full-bridge inverters with low-leakage currents, such as H5 and highly efficient and reliable inverter concept, meet the elimination conditions of the high-frequency circulating currents. Hence, these inverters are free of high-frequency circulating currents. A prototype of dc module-type grid-tied PV generation system is built up, and experimental tests with different topologies and PWM methods verify the analysis.

关键词： Circulating current grid-tied inverter parallel peration photovoltaic (PV) redundancy

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Millipedes: distributed and set-based sub-task scheduler of computing engines running on yarn cluster 17

Millipedes: Distributed and set-based sub-task scheduler of ...

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17th ieee International Conference on High Performance Computing and Communications, ieee 7th International symposium on Cyberspace Safety and Security and ieee 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015

作者： Wang, Kebing Bian, Zhaojuan Chen, Qian Software and Service Group Intel Corporation Shanghai China

ISBN: (纸本)9781479989362

Hadoop YARN is evolving to become the de-facto standard that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform. And, there are lots of researches about efficiently managing cluster resources and scheduling parallel jobs over YARN clusters. However, the scheduling of sub-tasks derived from one application doesn't receive enough attention, which still managed by independent data processing engines on YARN. In this paper, we analyze the limitation of sub-task scheduling algorithms of popular data processing engines running on YARN, including MapReduce 2.0, Spark then, we propose Millipedes: a distributed & set-based sub-task scheduling framework. In Millipedes, YARN's application master dispatches a set of sub tasks to data nodes, and then the local task scheduler of each data node schedules the execution of these sub tasks according to real-time dynamic resource usage. © 2015 ieee.

关键词： Scheduling algorithms

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distributed processing of Approximate Range Queries in Wireless Sensor Networks 7

Distributed Processing of Approximate Range Queries in Wirel...

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Seventh International symposium on parallel Architectures, Algorithms and Programming

作者： Hu, Haifeng He, Jiefang Wu, Jiansheng Nanjing Univ Posts & Telecommun Dept Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Dept Geog & Biol Informat Nanjing 210003 Jiangsu Peoples R China Univ Michigan Dept Computat Med & Bioinformat Ann Arbor MI 48109 USA

ISBN: (纸本)9781467391160

In Wireless Sensor Networks (WSNs), the large amount of high-dimensional sensed data play a key role in many emerging WSN applications. Existing approaches to similarity search rely on the assumption that sensed data are centralized to deal with, or sensed data are simple enough to be stored in a relational database. In this article, we propose a distributed approximate similarity search (DASS) algorithm to retrieve similar sensed data for range queries by comparing the similarity score of each sensed data with a specified threshold, while taking into account search performance and energy efficiency. the results show that the proposed method provides significant performance gains in terms of precision and energy efficiency compared to existing algorithms.

关键词： Wireless Sensor Networks distributed approximate similarity search range queries

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MDACCER: Modified distributed Assessment of the Closeness CEntrality Ranking in Complex Networks for Massively parallel Environments 27

MDACCER: Modified Distributed Assessment of the Closeness CE...

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ieee 27th International symposium on Computer Architecture and High Performance Computing

作者： Cabral, Frederico Luis Osthoff, Carla Ramos, Daniel Nardes, Rafael LNCC Ctr Comp Alto Desempenho Petropolis RJ Brazil

ISBN: (纸本)9781467386210

We propose a new method derived from DACCER (distributed Assessment of the Closeness CEntrality Ranking): the modified DACCER (MDACCER), for assessing traditional closeness centrality ranking. MDACCER presents a relaxation that allows it to take advantage of massively parallel environments like General Purpose Graphics processing Units (GPGPUs). Traditional DACCER proposal assesses Closeness centrality ranking in a limited neighborhood using only information around each node at low computational cost and capability to be executed in a distributed environment. Despite all the advantages, DACCER presents some difficulties in GPGPUs programming model that increases its computational cost at this particular environment. In contrast to the poor performance of DACCER on GPGPUs, experimental results demonstrate MDACCER is as simple and efficient as DACCER to assess Closeness centrality ranking in complex networks and moreover it does not have the same bottlenecks in GPGPUs computing about memory usage and time complexity. We performed MDACCER for some synthetically generated networks, specifically Barabasi-Albert ones and results indicate MADCCER correlates Closeness centrality ranking almost as well as DACCER does with lower computational costs.

关键词： parallel Computing Network Centrality Ranking DACCER Closeness GPU CUDA

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HAS: Heterogeneity-Aware Selective Data Layout Scheme for parallel File Systems on Hybrid Servers 29

HAS: Heterogeneity-Aware Selective Data Layout Scheme for Pa...

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29th ieee International parallel and distributed processing symposium, IPDPS 2015

作者： He, Shuibing Sun, Xian-He Haider, Adnan School of Computer Wuhan University Wuhan Hubei China Department of Computer Science Illinois Institute of Technology ChicagoIL United States

ISBN: (纸本)9781479986484

Hybrid parallel file systems (PFS), consisting of multiple HDD and SSD I/O servers, provide a promising design for data intensive applications. the efficiency of a hybrid PFS relies on the file's data layout. However, most current layout strategies are designed and optimized for homogeneous servers. Using them directly in a hybrid PFS neither addresses the heterogeneity of servers nor the varying access patterns of applications, making hybrid PFSs disappointingly inefficient. In this paper, we propose HAS, a novel heterogeneity-aware selective data layout scheme for hybrid PFSs. HAS alleviates the inter-server load imbalance through skewing data distribution on heterogeneous servers based on their storage performance. To largely improve the entire system's I/O efficiency, HAS adaptively selects the optimal data layout from three typical candidates according to the application's data access patterns, based on a newly developed selection and distribution algorithm. We have implemented HAS within OrangeFS to provide efficient data distribution for data-intensive applications. Our extensive experiments validate that HAS significantly increases the I/O throughput of hybrid PFSs, compared to existing data layout optimization methods. © 2015 ieee.

关键词： Efficiency

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proceedings - ieee 4th symposium on Network Cloud Computing and Applications, NCCA 2015

Proceedings - IEEE 4th Symposium on Network Cloud Computing ...

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4th ieee symposium on Network Cloud Computing and Applications, NCCA 2015

ISBN: (纸本)0769556035

the proceedings contain 5 papers. the topics discussed include: measuring requirement quality to predict testability;DeNom: a tool to find problematic nominalizations using NLP;using fuzzy modeling for consistent definitions of product qualities in requirements;from natural language requirements to UML class diagrams;and representation of rules for relevant recommendations to online social networks users.

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Accelerating DNA Sequence Analysis using Intel® Xeon Phi™ 14

Accelerating DNA Sequence Analysis using Intel® Xeon Phi™

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13th ieee International symposium on parallel and distributed processing with Applications

作者： Memeti, Suejb Pllana, Sabri Linnaeus Univ Dept Comp Sci S-35195 Vaxjo Sweden

ISBN: (纸本)9781467379526

Genetic information is increasing exponentially, doubling every 18 months. Analyzing this information within a reasonable amount of time requires parallel computing resources. While considerable research has addressed DNA analysis using GPUs, so far not much attention has been paid to the Intel Xeon Phi coprocessor. In this paper we present an algorithm for large-scale DNA analysis that exploits thread-level and the SIMD parallelism of the Intel Xeon Phi. We evaluate our approach for various numbers of cores and thread allocation affinities in the context of real-world DNA sequences of mouse, cat, dog, chicken, human and turkey. the experimental results on Intel Xeon Phi show speed-ups of up to 10x compared to a sequential implementation running on an Intel Xeon processor E5.

关键词： DNA Sequence Analysis DNA analysis genetic information parallel processing (COMPUTERS) acceleration core Coprocessors

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parallel Pipeline on Heterogeneous Multi-processing Architectures 14

Parallel Pipeline on Heterogeneous Multi-Processing Architec...

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13th ieee International symposium on parallel and distributed processing with Applications

作者： Rodriguez, Andres Navarro, Angeles Asenjo, Rafael Vilches, Antonio Corbera, Francisco Garzaran, Maria Univ Malaga Andalucia Tech E-29071 Malaga Spain UIUC Dept Comp Sci Champaign IL USA

ISBN: (纸本)9781467379526

We address the problem of providing support for executing single streaming applications implemented as a pipeline of stages that run on heterogeneous chips comprised of several cores and one on-chip GPU. In this paper, we present an API that allows the user to specify the type of parallelism exploited by each pipeline stage running on the CPU multicore, the mapping of the pipeline stages to the devices (GPU or CPU), and the number of active threads. Using as case of study a real streaming application, we evaluate how these parameters affect the performance and energy efficiency of a heterogeneous on-chip processor (Exynos 5 Octa) that has three different computational cores: a GPU, an A15 quad-core and an A7 quad-core. We also explore some memory optimizations and find that while their performance impact depends on the granularity type, they usually reduce energy consumption.

关键词： Pipeline pattern Heterogeneous chips On-chip GPU Performance-Energy efficiency

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Intra-Clustering: Accelerating On-Chip Communication for Data parallel Architectures 27

Intra-Clustering: Accelerating On-Chip Communication for Dat...

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ieee 27th International symposium on Computer Architecture and High Performance Computing

作者： Yuan, Wen Boyapati, Rahul Wang, Lei Jang, Hyunjun Jin, Yuho Yum, Ki Hwan Kim, Eun Jung Samsung Austin Res Ctr Austin TX 78730 USA Texas A&M Univ College Stn TX 77843 USA Yahoo Inc Sunnyvale CA USA New Mexico State Univ Las Cruces NM 88003 USA

ISBN: (纸本)9781467386210

Modern computation workloads contain abundant Data Level parallelism(DLP), which requires specialized data parallel architectures, such as Graphics processing Units(GPUs). With parallel programming models, such as CUDA and OpenCL, GPUs are easily to be programmed for non-graphics applications, and therefore become a cost-effective approach for data parallel architectures. the large quantity of available parallelism places a heavy stress on the memory system as the limited number of pins confines the number of memory controllers on the chip. this creates a potential bottleneck for performance scalability of the GPUs. To accelerate communication with the memory system, we propose the Intra-Clustering on-chip network for data parallel architectures, which is built upon a traditional two-dimensional electrical mesh network with memory controllers connected through a nanophotonic ring and compute cores grouped into different clusters. Our evaluations with CUDA benchmarks show that the Intra-Clustering architecture can improve communication delay by an average of 17%(up to 32%) and IPC by an average of 5%(up to 11.5%).

关键词： Cost effectiveness

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A Software-defined Sensor Architecture for Large-scale Wideband Spectrum Monitoring 14

A Software-defined Sensor Architecture for Large-scale Wideb...

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14th ieee/ACM International Conference on Information processing in Sensor Networks (IPSN)

作者： Pfammatter, Damian Giustiniano, Domenico Lenders, Vincent Swiss Fed Inst Technol Zurich Switzerland IMDEA Networks Inst Madrid Spain Armasuisse Thun Switzerland

ISBN: (纸本)9781450334754

Today's spectrum measurements are mainly performed by governmental agencies which drive around using expensive specialized hardware. the idea of crowdsourcing spectrum monitoring has recently gained attention as an alternative way to capture the usage of wide portions of the wireless spectrum at larger geographical and time scales. To support this vision, we develop a flexible software-defined sensor architecture that enables distributed data collection in real-time over the Internet. Our sensor design builds upon low-cost commercial off-the-shelf (COTS) hardware components with a total cost per sensor device below $100. the low-cost nature of our sensor platform makes the sensing approach particularly suitable for large-scale deployments but imposes technical challenges regarding performance and quality. To circumvent the limits of our solution, we have implemented and evaluated different sensing strategies and noise reduction techniques. Our results suggest that our sensor architecture may be useful in application areas such as dynamic spectrum access in cognitive radios, detecting regions with elevated electro-smog, or simply to gain an understanding of the spectrum usage for advanced signal intelligence such as anomaly detection or policy enforcement.

关键词： Spectrum monitoring Crowdsourcing Wideband distributed

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