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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是201-210 订阅

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A consistent coordinated checkpointing protocol for distributed systems

A consistent coordinated checkpointing protocol for distribu...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Neogy, Sarmistha Sinha, Anupam Das, Pradip K. Dept. of Comp. Sci. and Engineering Jadavpur University India

this paper describes a distributed coordinated checkpointing protocol that always ensures a consistent set of checkpoints. A checkpoint initiator initiates checkpointing activity and the protocol followed is two phase with each process maintaining a tentative checkpoint till it is made permanent or aborted. However, there is no central checkpoint initiator, but each of the processes takes turn to act as the initiator. Processes take local checkpoints only after being notified by the initiator. the guaranty that no message would be lost in the system (where processes communicate via messages only) in case of failure is maintained in this work by forcing processes to refrain from sending computation messages for a certain period of time that generally equals the time a message in a network takes to reach its destination from the sender. Processes carry out local computations only during that period that eventually gets included in the current permanent checkpoint.

关键词： distributed computer systems

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parallel and distributed performance of self-organizing neural grove

Parallel and distributed performance of self-organizing neur...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Inoue, Hirotaka Tsuda, Michiaki Narihisa, Hiroyuki Department of Electrical Engineering Kure National College of Technology 2-2-11 Agaminami Kure-shi Hiroshima 737-8506 Japan Department of Information Okayama University of Science 1-1 Ridai-cho Okayama-shi Okayama 700-0005 Japan

In this paper, we present the improving capability of accuracy and the parallel efficiency of self-organizing neural groves (SONGs) for classification on a MIMD parallel computer. Self-generating neural networks (SGNNs) are originally proposed on adopting to classification or clustering by automatically constructing self-generating neural tree (SGNT) from given training data. the SONG is composed of plural SGNTs each of which is independently generated by shuffling the order of the given training data, and the output of the SONG is voted all outputs of the SGNTs. We allocate each of SGNTs to each of processors in the MIMD parallel computer. Experimental results show that the more the number of processors increases, the more the classification accuracy increases for all problems.

关键词： Neural networks

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Application categories for QOS management of distributed applications

Application categories for QOS management of distributed app...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Keep, Heather Bauer, Michael Department of Computer Science University of Western Ontario London Ont. N6A 5B7 Canada

Quality of Service (QoS) management in today's distributed computing environments requires that application level resource requirements be considered from the user's perspective since user satisfaction is the ultimate goal of QoS management. the variety of applications and diversity of user requirements creates challenges for management systems to attempt to satisfy user requirements. In this paper, a policy-driven architecture for user-defined differentiated services is proposed and an overview of the implementation given. the key contribution of this paper is the use of application categories, each characterizing different sets of applications with similar QoS requirements, to determine groups of policies for use by the management system. this approach can reduce the number of policies that much be defined and provide flexibility in meeting individual user QoS requirements. Experience with the prototype is also reported.

关键词： Quality of service

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A distributed software architecture for a rapid geospatial dataset generation system

A distributed software architecture for a rapid geospatial d...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Lee, Arthur H. Sekar, Arvind Claremont McKenna College Claremont CA Spatial Cognition LLC Salt Lake City UT

A wide variety of systems from many different fields use geospatial data to represent physical environments. these systems, and the data on which they operate, are not only becoming more complex, but they are increasingly being connected together. Although each system may be interested in very different aspects of the environment, the geospatial data they use must be consistent and correlated with each other. As these "systems of systems" grow and as the amount of geospatial data gathered each day increases, the collection and preparation of these data has become the most time consuming and costly processes in the use of many of these systems. the solution to this problem lies in the creation of a geospatial dataset generation system that can efficiently collect, manipulate, and correlate geospatial data to the requirements of the end user. In this paper, we use the unique requirements of building geospatial datasets to derive a distributed software architecture for such a system.

关键词： Computer architecture

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the impact of multi-core architectures on task retrieval policies for volunteer computing

The impact of multi-core architectures on task retrieval pol...

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20th iasted international conference on parallel and distributed computing and systems, PDCS 2008

作者： Toth, David Department of Computer Science Merrimack College North Andover MA 01845 United States

ISBN: (纸本)9780889867741

Volunteer computing projects use donated CPU time to solve problems that would otherwise be too computationally intensive to solve. the donated CPU time comes from computers whose owners install a volunteer computing client program on their computer, allowing a project to use the computer's idle time. the low participation rate in volunteer computing and the increasing number of volunteer computing projects make improvements that more effectively use the donated CPU cycles very important. Past work showed that using certain task retrieval policies could increase the number of tasks volunteer computing clients complete. However, the past work assumed that the volunteered computers had a single CPU and the task retrieval methods that resulted in more completed tasks required the client to be connected to the Internet more often than the other policies. We simulated the task retrieval policies for computers with multi-core CPUs and found that in most cases, the multi-core architecture can lead to a slightly greater than linear increase in the number of tasks that the clients complete, relative to the number of cores the computer running the client has. Additionally, the multi-core architecture can reduce the performance gap between the best and worst performing policies significantly, affecting which policies are used.

关键词： distributed computer systems

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Patterns of inefficient performance behavior in GPU applications

Patterns of inefficient performance behavior in GPU applicat...

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19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Eschweiler, Dominic Becker, Daniel Wolf, Felix Forschungszentrum Julich Julich Supercomp Ctr D-52428 Julich Germany German Res Sch Simulat Sci Lab Parallel Programming D-52062 Aachen Germany Rhein Westfal TH Aachen Dept Comp Sci D-52056 Aachen Germany

ISBN: (纸本)9780769543284

Writing efficient software for heterogeneous architectures equipped with modern accelerator devices presents a serious challenge to programmer productivity, creating a need for powerful performance-analysis tools to adequately support the software development process. To guide the design of such tools, we describe typical patterns of inefficient runtime behavior that may adversely affect the performance of applications that use general-purpose processors along with GPU devices through a CUDA compute engine. To evaluate the general impact of these patterns on application performance, we further present a microbenchmark suite that allows the performance penalty of each pattern to be quantified with results obtained on NVIDIA Fermi and Tesla architectures, indeed demonstrating significant delays. Furthermore this suite can be used as a default test scenario to add CUDA support to performance-analysis tools used in high-performance computing.

关键词： analysis cuda patterns performance tools EQUIPMENT performance behavior GRAPPER PICK UP Graphics Processing Unit High Performance computing ARCHITECTURE

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A distributed Cache Framework for Metadata Service of distributed File systems

A Distributed Cache Framework for Metadata Service of Distri...

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19th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Sun, Yao Liu, Jie Ye, Dan Zhong, Hua Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Software Beijing Peoples R China

ISBN: (纸本)9781479920815

Most recent distributed file systems have adopted architecture with an independent metadata server cluster. However, potential multiple hotspots and flash crowds access patterns often cause a metadata service that violates performance Service Level Objectives. To maximize the throughput of the metadata service, an adaptive request load balancing framework is critical. We present a distributed cache framework above the distributed metadata management schemes to manage hotspots rather than managing all metadata to achieve request load balancing. this benefits the metadata hierarchical locality and the system scalability. Compared with data, metadata has its own distinct characteristics, such as small size and large quantity. the cost of useless metadata prefetching is much less than data prefetching. In light of this, we devise a time period-based prefetching strategy and a perfecting-based adaptive replacement cache algorithm to improve the performance of the distributed caching layer to adapt constantly changing workloads. Finally, we evaluate our approach with a hadoop distributed file system cluster.

关键词： metadata server cluster distributed file system load balancing caching prefetching

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Design and implementation of SSDLM: A distributed lock manager with shared lock locality

Design and implementation of SSDLM: A distributed lock manag...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Kishida, Hajime Yamazaki, Haruaki Department of Computer Science Yamanashi University Yamanashi Japan

A cluster system can potentially provide features of high availability, extended scalability and fault tolerance. However, there are few cluster systems that have transactional capability with distributed lock managers to provide a single system image for transactional applications. We propose a distributed lock manager architecture called SSDLM for a cluster system, which is based on self-management of shared locks in a node to decrease lock management overhead in a cluster system. this paper describes the algorithm and the design of the lock management in SSDLM using data structures and processes. Finally, we test it through our experiments in terms of transaction response time and lock response time. the experimental results show that the overall performance improves with a small increase of nodes but becomes saturated soon, and that the locality of shared locks in SSDLM is effective for all experiments, and especially outstanding in the lock response time for read intensive transactions.

关键词： Fault tolerant computer systems

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Job Scheduling with License Reservation: A Semantic Approach

Job Scheduling with License Reservation: A Semantic Approach

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19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Ejarque, Jorge Micsik, Andras Sirvent, Raul Pallinger, Peter Kovacs, Laszlo Badia, Rosa M. Barcelona Supercomp Ctr Grid Comp & Clusters Grp Barcelona Spain Spanish Natl Res Council IIIA CSIC Arti Cial Intelligence Res Inst Barcelona Spain Univ Politecn Cataluna Comp Architecture Dept Barcelona Spain Hungarian Acad Sci MTA SZTAKI Comp & Automat Res Inst Distributed Syst Dept Budapest Hungary

ISBN: (纸本)9780769543284

the license management is one of the main concerns when Independent Software Vendors (ISV) try to distribute their software in computing platforms such as Clouds. they want to be sure that customers use their software according to their license terms. the work presented in this paper tries to solve part of this problem extending a semantic resource allocation approach for supporting the scheduling of job taking into account software licenses. this approach defines the licenses as another type of computational resource which is available in the system and must be allocated to the different jobs requested by the users. License terms are modeled as resource properties, which describe the license constraints. A resource ontology has been extended in order to model the relations between customers, providers, jobs, resources and licenses in detail and make them machine processable. the license scheduling has been introduced in a semantic resource allocation process by providing a set of rules, which evaluate the semantic license terms during the job scheduling.

关键词： multi-agent semantics scheduling resource allocation software licenses grid computing cloud computing distributed systems

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Further Improvement on GPU-Based parallel Implementation of WRF 5-Layer thermal Diffusion Scheme

Further Improvement on GPU-Based Parallel Implementation of ...

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19th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Huang, Melin Huang, Bormin Mielikainen, Jarno Huang, H. -L Allen Goldberg, Mitchell D. Mehta, Ajay Univ Wisconsin Madison Space Sci & Engn Ctr Madison WI 53706 USA Natl Ocean & Atmospher Adm Joint Polar Satellite Syst Off Silver Spring MD USA

ISBN: (纸本)9781479920815

the Weather Research and Forecasting (WRF) model has been widely employed for weather prediction and atmospheric simulation with dual purposes in forecasting and research. Land-surface models (LSMs) are parts of the WRF model, which is used to provide information of heat and moisture fluxes over land and sea-ice points. the 5-layer thermal diffusion simulation is an LSM based on the MM5 soil temperature model with an energy budget made up of sensible, latent, and radiative heat fluxes. Owing to the feature of no interactions among horizontal grid points, the LSMs are very favorable for massively parallel processing. the study presented in this article demonstrates the parallel computing efforts on the WRF 5-layer thermal diffusion scheme using Graphics Processing Unit (GPU). Since this scheme is only one intermediate module of the entire WRF model, the involvement of the I/O transfer does not occur in the intermediate process. By employing one NVIDIA GTX 680 GPU in the case without I/O transfer, our optimization efforts on the GPU-based 5-layer thermal diffusion scheme can reach a speedup as high as 247.5x with respect to one CPU core, whereas the speedup for one CPU socket with respect to one CPU core is only 3.1x. We can even boost the speedup to 332x with respect to one CPU core when three GPUs are applied.

关键词： 5-layer thermal diffusion Compute Unified Device Architecture (CUDA) Graphics Processing Unit (GPU) speedup Weather Research and Forecasting (WRF)

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