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Filterless WDM Optical Core Networks Based on Coherent Systems

Filterless WDM Optical Core Networks Based on Coherent Syste...

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13th international conference on Transparent Optical Networks (ICTON)

作者： Tremblay, Christine Enriquez-Castillo, Alfredo Belanger, Michel P. Gagnon, Francois Univ Quebec Ecole Technol Super Montreal PQ H3C 3P8 Canada Ciena Corp Ottawa ON Canada

ISBN: (纸本)9781457708800

Recent advances in coherent detection and digital signal processing (DSP) technologies have stimulated the exploration of novel agile architectures for WDM core networks. Filterless optical networks are passive broadcast & select networks in which the need for agility is delivered by DSP-assisted tunable transceivers, and simple passive splitters/combiners are used for interconnecting the fiber links. the resulting network architecture is expected to bring about significant advantages, such as reduced installed first cost (IFC) of the network, ease of maintenance, and reconfigurability, as well as good resilience and multicast capabilities. In this paper, the filterless network design problem is defined for a wide area network (WAN), and a method based on genetic and Tabu search algorithms is proposed for designing long haul (LH) filterless networks based on the concept of "filterless islands". Filterless network solutions are then proposed for a number of core network topologies, and the main characteristics of the solutions are presented. Our results show that filterless solutions can be found for different WAN topologies and confirm that the filterless networking concept is applicable to optical core networks.

关键词： All-optical networks network architectures optical network design and planning routing and wavelength assignment algorithms

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parallel suffix arrays for linguistic pattern search

Parallel suffix arrays for linguistic pattern search

引用

8th international conference on Recent Advances in Natural Language processing, RANLP 2011

作者： Goller, Johannes Macmillan Digital Science Chiyoda Bldg. 2-37 Ichigayatamachi Shinjuku-ku Tokyo Japan

the paper presents the results of an analysis of the merits and problems of using suffix arrays as an index data structure for annotated natural-language corpora. It shows how multiple suffix arrays can be combined to represent layers of annotation, and how this enables matches for complex linguistic patterns to be identified in the corpus quickly and, for a large subclass of patterns, with greater theoretical efficiency than alternative approaches. the results reported include construction times and retrieval times for an annotated corpus of 1.9 billion characters in length, and a range of example patterns of varying complexity.

关键词： Indexing (of information)

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First international Workshop on Cross Enterprise Collaboration, People, and Work (CEC-PAW): Current state of affairs and future research directions

First International Workshop on Cross Enterprise Collaborati...

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作者： Oppenheim, Daniel Cataldo, Marcelo IBM T.J. Watson Research Hawthorne NY 10532 United States Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)9783642205101

On September 13th, 2010, the 1st international Workshop on Cross Enterprise Collaboration, People and Work (SG-PAW) was held as part of the 8th international conference on Business Process Management (BPM 10) in Hoboken, New Jersey, USA. the workshop focused on the problem of enabling an enterprise to leverage internal and external global services and combine them in new ways that optimize its end-to-end operations. the goal was to combine academics and practitioners to identify together core issues, research challenges, learn from successful attempts or approaches, and propose new formalisms, models, architectures, frameworks, methodologies, or approaches. © 2011 Springer-Verlag.

关键词： Enterprise resource management

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Multi-science applications with single codebase - GAMER - for massively parallel architectures

Multi-science applications with single codebase - GAMER - fo...

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2011 international conference for High Performance Computing, Networking, Storage and Analysis, SC11

作者： Shukla, Hemant Schive, Hsi-Yu Woo, Tak-Pong Chiueh, Tzihong Lawrence Berkeley National Laboratory 1 Cyclotron Road Berkeley United States Department of Physics National Taiwan University 106 Taipe Taiwan Department of Physics Soochow University 106 Taipei Taiwan

ISBN: (纸本)9781450307710

the growing need for power efficient extreme-scale high-performance computing (HPC) coupled with plateauing clock-speeds is driving the emergence of massively parallel compute architectures. Tens to many hundreds of cores are increasingly made available as compute units, either as the integral part of the main processor or as coprocessors designed for handling massively parallel workloads. In the case of many-core graphics processing units (GPUs) hundreds of SIMD cores primarily designed for image and video rendering are used for high-performance scientific computations. the new architectures typically offer ANSI standard programming models such as CUDA (NVIDIA) and OpenCL. However, the wide-ranging adoption of these parallel architectures is steeped in difficult learning curve and requires reengineering of existing applications that mostly leads to expensive and error prone code rewrites without prior guarantee and knowledge of any speedups. Broad range of complex scientific applications across many domains use common algorithms and techniques, such as adaptive mesh refinements (AMR), advanced hydrodynamics partial differential equation (PDE) solvers, Poisson-Gravity solvers etc, that have demonstrably performed highly efficiently on GPU based systems. Taking advantage of the commonalities, we use GPU-aware AMR code, GAMER [1], to examine the unique approach of solving multi-science problems in astrophysics, hydrodynamics and particle physics with single codebase. We demonstrate significant speedups in disparate class of scientific applications on 3 separate clusters, viz., Dirac, Laohu and Mole 8.5. By extensively reusing the extendable single codebase we mitigate the impediments of significant code rewrites. We also collect performance and energy consumption benchmark metrics on 50-nodes NVIDIA C2050 GPU and Intel 8-core Nehalem CPU on Dirac cluster at the National Energy Research Supercomputing Center (NERSC). In addition, we propose a strategy and framework for

关键词： Graphics processing unit

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FUEL CONSUMPTION REDUCTION BY USE OF HYBRID DRIVE SYSTEMS

FUEL CONSUMPTION REDUCTION BY USE OF HYBRID DRIVE SYSTEMS

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8th international Scientific and Practical conference on Environment, Technology, Resources

作者： Renken, Folker Jade Univ Dept Engn Power Elect Friedrich Paffrath Str 101 D-26389 Wilhelmshaven Germany

ISBN: (纸本)9789984440712

Vehicles with hybrid drive systems are characterized by their driving dynamics, their energy efficiency and their environment-friendliness especially. Dependent on the electrical power and the drive train structure these hybrid drives are grouped into different classes. Designations such as micro-hybrid, mild hybrid, full-hybrid, serial-hybrid, serial/parallel-hybrid or power-split-hybrid reflect the large variance of these different drive train possibilities. In hybrid drive systems electronically controlled converters take an important role. With such a converter also the energy exchange between electrical power system and electrical machine is regulated. the reduction of the vehicle fuel consumption here is of special interest. Today's hybrid vehicles use for the control mainly information from the present driving conditions, taking into account the actual electrical power system-charge as well as the power demand of the driver. With such a control already considerable fuel reductions are reached But additionally superimposed control and information systems promise substantial potential for more fuel reduction. With these systems an outstanding energy-saving and anticipatory way of driving could be realized. the aim is to find the best operating point in each case for the combustion engine and to adapt the charge state of the electrical power system to the respective driving situation.

关键词： Hybrid electric vehicle (HEV) Automotive power train topologies Automotive electrical system architectures Battery energy management Automotive electronic

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parallel implementations of Gusfield's cut tree algorithm

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11th international conference on algorithms and architectures for parallel processing, ICA3PP 2011

作者： Cohen, Jaime Rodrigues, Luiz A. Silva, Fabiano Carmo, Renato Guedes, André L. P. Duarte Jr., Elias P. Federal University of Paraná Department of Informatics Curitiba Brazil Paraná State University at Ponta Grossa Department of Informatics Ponta Grossa Brazil Western Paraná State University Department of Computer Science Cascavel Brazil

ISBN: (纸本)9783642246494

this paper presents parallel versions of Gusfield's cut tree algorithm. Cut trees are a compact representation of the edge-connectivity between every pair of vertices of an undirected graph. Cut trees have many applications in combinatorial optimization and in the analysis of networks originated in many applied fields. However, surprisingly few works have been published on the practical performance of cut tree algorithms. this paper describes two parallel versions of Gusfield's cut tree algorithm and presents extensive experimental results which show a significant speedup on most real and synthetic graphs in our dataset. © 2011 Springer-Verlag.

关键词： Combinatorial optimization

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CCE 2011 - 2011 8th international conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book

CCE 2011 - 2011 8th International Conference on Electrical E...

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2011 8th international conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2011

ISBN: (纸本)9781457710117

the proceedings contain 153 papers. the topics discussed include: reducing communication overhead under parallel list processing in multicore clusters;reinforced-SLAM for path planning and mapping in dynamic environments;discrete-time sliding mode controllers for nonholonomic mobile robots trajectory tracking problem;analysis of power system stability using phase plane analysis of linear OMIB equivalents;adaptive PI controller for a flow process, using an industrial platform with an OPC communication protocol;path following through reference points for a car-like mobile robot;predator-prey analytical dynamics behavior using normal form method;ASYNCAR, a radio-controlled vehicle for asynchronous experiments implementation of an event-based cruise control;single-phase illuminated transmission line model including corona effect;and a model-free backstepping with integral sliding mode control for underactuated ROVs.

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P2G: A framework for distributed real-time processing of multimedia data

P2G: A framework for distributed real-time processing of mul...

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2011 international conference on parallel processing Workshops, ICPPW 2011

作者： Espeland, Håvard Beskow, Paul B. Stensland, Håkon K. Olsen, Preben N. Kristoffersen, Ståle Griwodz, Carsten Halvorsen, Pål Department of Informatics University of Oslo Norway Simula Research Laboratory Norway

ISBN: (纸本)9780769545110

the computational demands of multimedia data processing are steadily increasing as consumers call for progressively more complex and intelligent multimedia services. New multi-core hardware architectures provide the required resources, but writing parallel, distributed applications remains a labor-intensive task compared to their sequential counter-part. For this reason, Google and Microsoft implemented their respective processing frameworks MapReduce [10] and Dryad [19], as they allow the developer to think sequentially, yet benefit from parallel and distributed execution. An inherent limitation in the design of these batch processing frameworks is their inability to express arbitrarily complex workloads. the dependency graphs of the frameworks are often limited to directed acyclic graphs, or even pre-determined stages. this is particularly problematic for video encoding and other algorithms that depend on iterative execution. With the Nornir runtime system for parallel programs [39], which is a Kahn Process Network implementation, we addressed and solved several of these limitations. However, it is more difficult to use than other frameworks due to its complex programming model. In this paper, we build on the knowledge gained from Nornir and present a new framework, called P2G, designed specifically for developing and processing distributed real-time multimedia data. P2G supports arbitrarily complex dependency graphs with cycles, branches and deadlines, and provides both data- and task-parallelism. the framework is implemented to scale transparently with available (heterogeneous) resources, a concept familiar from the cloud computing paradigm. We have implemented an (interchangeable) P2G kernel language to ease development. In this paper, we present a proof of concept implementation of a P2G execution node and some experimental examples using complex workloads like Motion JPEG and Kmeans clustering. the results show that the P2G system is a feasible approach to mu

关键词： MapReduce

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Efficient algorithm for context sensitive aggregation in Natural Language Generation

Efficient algorithm for context sensitive aggregation in Nat...

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8th international conference on Recent Advances in Natural Language processing, RANLP 2011

作者： Bayyarapu, Hemanth Sagar Language Technologies Research Center International Institute of Information Technology Hyderabad AP 500032 India

Aggregation is a sub-task of Natural Language Generation (NLG) that improves the conciseness and readability of the text outputted by NLG systems. Till date, approaches towards the aggregation task have been predominantly manual (manual analysis of domain specific corpus and development of rules). In this paper, a new algorithm for aggregation in NLG is proposed, that learns context sensitive aggregation rules from a parallel corpus of multi-sentential texts and their underlying semantic representations. Additionally, the algorithm accepts external constraints and interacts with the surface realizer to generate the best output. Experiments show that the proposed context sensitive probablistic aggregation algorithm performs better than the deterministic hand crafted aggregation rules.

关键词： Semantics

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Using graphics processors for a high performance normalization of gene expressions

Using graphics processors for a high performance normalizati...

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13th IEEE international Workshop on FTDCS 2011, the 8th international conference on ATC 2011, the 8th international conference on UIC 2011 and the 13th IEEE international conference on HPCC 2011

作者： Rodríguez, Andrés Trelles, Oswaldo Ujaldón, Manuel Computer Architecture Department University of Malaga Malaga Spain

ISBN: (纸本)9780769545387

Ultra high density oligonucleotide micro arrays allow several millions of genetic markers in a single experiment to be observed. Current bioinformatics software for gene expression quantile data normalization is unable to process such huge datasets. In parallel with this perception, the huge volume of molecular data produced by current high-throughput technologies in modern molecular biology has increased at a similar pace the challenge in our capacity to process and understand data. On the other hand, the arrival of CUDA has unveiled the extraordinary power of Graphics Processors (GPUs) to accelerate data intensive general purpose computing more and more as times goes by. this work takes these two emerging trends to benefit side by side during the development of a high performance version for a biomedical application of growing popularity: gene expression normalization. A variety of experimental issues are analyzed for this execution, including cost, performance and scalability of the graphics architecture on three different platforms. Our study reveals advantages and drawbacks of using the GPU as target hardware, providing lessons to benefit a broad set of existing genetic applications, either based on those pillars or having similarities with their procedures. © 2011 IEEE.

关键词： Graphics processing unit

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