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检索条件"任意字段=13th IEEE International Symposium on Parallel and Distributed Processing with Applications"

共 2574 条记录，以下是2011-2020 订阅

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An event processing language (EPL) for building sense and respond applications

An event processing language (EPL) for building sense and re...

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international symposium on parallel and distributed processing (IPDPS)

作者： E. Albek E. Bax G. Billock K.M. Chandy I. Swett iSpheres Corporation Oakland CA USA

Robust systems are designed to deal with some anticipated, though probably unusual, situations such as equipment failure and overloads. they must also be designed to deal with unanticipated situations: no matter how much careful planning is carried out, unexpected events may occur. this paper describes a system, EPL 5.0, for sensing unusual situations and responding appropriately. this paper also describes an event processing language that helps business users specify both conditions that require responses, and the appropriate responses to these conditions. Unanticipated situations are dealt with by specifying normal conditions, and defining an anomaly as a significant deviation from normality. the system also facilitates machine learning of normal and anomalous conditions from examples.

关键词： Page description languages Network servers Large-scale systems Radiofrequency identification Sensor systems Risk management Credit cards Telecommunication traffic Buildings Robustness

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Techniques for tuning workflows in cluster environments 05

Techniques for tuning workflows in cluster environments

引用

international symposium on High Performance distributed Computing

作者： B.L. Tierney D.K. Gunter Distributed Syst. Dept. Lawrence Berkeley Nat. Lab. USA Distributed Systems Department Lawrence Berkeley National Laboratory USA

ISBN: (纸本)9780780390379

An important class of parallel processing jobs on clusters today are workflow-based applications that process large amounts of data in parallel. Traditional cluster performance tools are designed for tightly coupled parallel jobs, and not as effective for this type of application. We describe how the NetLogger Toolkit methodology is more appropriate for this class of cluster computing, and describe our new automatic workflow anomaly detection component. We also describe how this methodology is being used by the Nearby Supernova Factory (SNfactory) project at Lawrence Berkeley National Laboratory.

关键词： Performance analysis Laboratories Pipelines parallel processing Production facilities Databases Event detection Data visualization Job design Context

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Evaluation of rate-based adaptivity in asynchronous data stream joins

Evaluation of rate-based adaptivity in asynchronous data str...

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international symposium on parallel and distributed processing (IPDPS)

作者： B. Plale N. Vijayakumar Computer Science Department Indiana University USA

Continuous query systems are an intuitive way for users to access streaming data in large-scale scientific applications containing many hundreds of streams. A challenge in these systems is to join streams in such a way that memory is conserved. Storing events that could not possibly participate in a join any longer wastes memory and limits scalability of the query processing system. this paper reports an experiment we conducted to validate an algorithm we developed for adaptive rate, adjustable join windows. We posit that a rate-based strategy can result in memory savings, can be sufficiently responsive to rapid changes in stream rates, and can execute with suitably low overhead. Based on the results, we conclude that the algorithm adds between 0.007% and 2.6% overhead, with significant gains in memory utilization possible depending on the particular workload.

关键词： Meteorology Computational modeling Computer science Query processing Storms Weather forecasting Predictive models Satellites Image coding Large-scale systems

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A distributed procedure for bandwidth-centric scheduling of independent-task applications

A distributed procedure for bandwidth-centric scheduling of ...

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international symposium on parallel and distributed processing (IPDPS)

作者： C. Banino Department of Computer and Information Science (IDI) Norwegian University of Science and Technology Trondheim Norway

the problem of scheduling independent tasks on heterogeneous trees is considered. the nodes of the tree may have different processing times, and links different communication times. the single-port, full overlap model is used for modeling the activities of the nodes. A distributed method for determining the maximum steady-state throughput of a tree is presented. then, we show how each node can buildup its own local schedule independently of the rest of the platform. In addition, the final schedule is asynchronous and event-driven, meaning that each node (except the root) acts without any time-related information. A local scheduling strategy which aims at minimizing the amount of tasks buffered-at node locations during steady-state is introduced. As a consequence, the lengths of the start-up and wind-down phases are considerably reduced.

关键词： Processor scheduling distributed computing Steady-state throughput Application software High performance computing Biology computing Tree graphs Information science Computer networks

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Practical performance model for optimizing dynamic load balancing of adaptive applications

Practical performance model for optimizing dynamic load bala...

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international symposium on parallel and distributed processing (IPDPS)

作者： K. Barker N. Chrisochoides CCS-3 Modeling Algorithms and Informatics Los Alamos National Laboratory Los Alamos NM USA Computer Science Department College of William and Mary Williamsburg VA USA

Optimizing the performance of dynamic load balancing toolkits and applications requires the adjustment of several runtime parameters; however, determining sufficiently good values for these parameters through repeated experimentation can be an expensive and prohibitive process. We describe an analytic modeling method which allows developers to study and optimize adaptive application performance in the presence of dynamic load balancing. To aid tractibility, we first derive a "bi-modal" step function which simplifies and approximates task execution behavior. this allows for the creation of an analytic modeling function which captures the dynamic behavior of adaptive and asynchronous applications, enabling accurate predictions of runtime performance. We validate our technique using synthetic micro-benchmarks and a parallel mesh generation application and demonstrate that this technique, when used in conjunction with the PREMA runtime toolkit, can offer users significant performance improvements over several well-known load balancing tools used in practice today.

关键词： Load management Application software Performance analysis Predictive models Runtime environment Software tools Quantum computing Mobile computing Informatics Computer science

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High-performance direct pairwise comparison of large genomic sequences

High-performance direct pairwise comparison of large genomic...

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international symposium on parallel and distributed processing (IPDPS)

作者： C. Mueller M. Dalkilic A. Lumsdaine Open Systems Laboratory Computer Science Department Indiana University Bloomington IN USA

Many applications in comparative genomics lend themselves to implementations that take advantage of common high-performance features in modern microprocessors. However, the common suggestion that a data-parallel, multithreaded, or high-throughput implementation is possible often ignores the complexity of actually creating such software. In this paper, we present a data-parallel algorithm for a classic comparative genomics algorithm, the dot plot, along with a multiprocessor extension. For large genomic comparisons, these new algorithms achieve speedups of up to 14.4x over the sequential version. this speedup introduces the opportunity of performing full pairwise comparisons on entire genomes on a much larger scale than previously possible. We also present the experimental, model-driven approach used to develop the algorithm that allowed us to carefully study and evaluate implementation options and fully understand the parameters affecting its performance.

关键词： Genomics Bioinformatics Application software Microprocessors Vector processors Open systems Computer science Databases Filtering algorithms parallel processing

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Asynchronous complete distributed garbage collection

Asynchronous complete distributed garbage collection

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international symposium on parallel and distributed processing (IPDPS)

作者： L. Veiga P. Ferreira INESC-ID/IST Lisboa Portugal

Most distributed garbage collection (DGC) algorithms are not complete as they fail to reclaim distributed cycles of garbage. those that achieve such a level of completeness are very costly as they require either some kind of synchronization or consensus between processes. Others use mechanisms such as backtracking, global counters, a central server, distributed tracing phases, and/or impose additional load and restrictions on local garbage collection. All these approaches hinder scalability and/or performance significantly. We propose a solution to this problem, i.e., we describe a DGC algorithm capable of reclaiming distributed cycles of garbage asynchronously and efficiently. Our algorithm does not require any particular coordination between processes and it tolerates message loss. We have implemented the algorithm both on Rotor (a free source version of Microsoft .Net) and on OBIWAN (a platform supporting mobile agents, object replication and remote invocation); we observed that applications are not disrupted.

关键词： Counting circuits Scalability Degradation Mobile agents Memory management Algorithm design and analysis Detectors Data structures Yarn Detection algorithms

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A framework for partitioning computational intensive applications in hybrid reconfigurable platforms

A framework for partitioning computational intensive applica...

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international symposium on parallel and distributed processing (IPDPS)

作者： M.D. Galanis A. Milidonis G. theodoridis D. Soudris C.E. Goutis VLSI Design Laboratory Electrical and Computer Engineering Department University of Patras Rio Greece Section of Electronics & Computers Physics Department Aristotle University of Thessaloniki Thessaloniki Greece VLSI Design Center Electrical & Computer Engineering Department Democritus University of Thrace Xanthi Greece

In this paper, we describe a prototype software framework that implements a formalized methodology for partitioning computational intensive applications between reconfigurable hardware blocks of different granularity. A hybrid granularity reconfigurable generic architecture is considered for this methodology, so as the methodology is applicable to a large variety of hybrid reconfigurable architectures. Although, the proposed framework is parametrical in respect to the mapping procedures to the fine- and coarse-grain reconfigurable units, we provide mapping algorithms for these types of hardware. the experimental results show the effectiveness of the functionality partitioning framework. We have validated the framework using two real-world applications, an OFDM transmitter and a JPEG encoder. For the OFDM transmitter, a maximum clock cycles decrease of 82% relative to an all fine-grain mapping solution is achieved. the performance improvement for the JPEG is 44%.

关键词： Computer applications Application software Hardware OFDM Transmitters Software prototyping Computer architecture Reconfigurable architectures Partitioning algorithms Clocks

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Resource allocation for periodic applications in a shipboard environment

Resource allocation for periodic applications in a shipboard...

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international symposium on parallel and distributed processing (IPDPS)

作者： V. Shestak E.K.P. Chong A.A. Maciejewski H.J. Siegel L. Benmohamed I.-J. Wang R. Daley Department of Electrical & Computer Engineering Colorado State University Fort Collins CO USA Applied Physics Laboratory Johns Hopkins University Laurel MD USA

Providing efficient workload management is an important issue for a large-scale heterogeneous distributed computing environment where a set of periodic applications is executed. the considered distributed system is expected to operate in an environment where the input workload is likely to change unpredictably, possibly invalidating a resource allocation that was based on the initial workload estimate. the tasks consist of multiple application strings, each made up of an ordered sequence of applications. there are quality of service (QoS) constraints that must be satisfied for each string. this work addresses the problem of finding a robust initial allocation of resources to application strings that is able to absorb some level of unknown input workload increase without rescheduling. An allocation feasibility analysis is presented followed by four heuristics for finding a near-optimal allocation of resources. the performance of the proposed heuristics is evaluated and compared using simulation. the proposed heuristics also are compared to a mathematically derived upper bound.

关键词： Resource management Quality of service distributed computing Robustness Application software Educational technology Arm Physics computing Computer science Active appearance model

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Using message-driven objects to mask latency in grid computing applications

Using message-driven objects to mask latency in grid computi...

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international symposium on parallel and distributed processing (IPDPS)

作者： G.A. Koenig L.V. Kale Department of Computer Science University of Illinois Urbana-Champaign USA

One of the attractive features of grid computing is that resources in geographically distant places can be mobilized to meet computational needs as they arise. A particularly challenging issue is that of executing a single application across multiple machines that are separated by large distances. While certain classes of applications such as pipeline style or master-slave style applications may run well in grid computing environments with little or no modification, tightly-coupled applications require significant work to achieve good performance. In this paper, we demonstrate that message-driven objects, implemented in the Charm++ and adaptive MPI systems, can be used to mask the effects of latency in grid computing environments without requiring modification of application software. We examine a simple five-point stencil decomposition application as well as a more complex molecular dynamics application running in an environment in which arbitrary artificial latencies can be induced between pairs of nodes. Performance of the applications running under artificial latencies are compared to the performance of the applications running across TeraGrid nodes located at the National Center for Supercomputing applications and Argonne National Laboratory.

关键词： Delay Grid computing Application software Pipelines Master-slave Adaptive systems Computer science Laboratories High performance computing Physics computing

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