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

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Proceedings - IEEE/IFIP international conference on Embedded and Ubiquitous computing, EUC 2010

Proceedings - IEEE/IFIP International Conference on Embedded...

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IEEE/IFIP 8th international conference on Embedded and Ubiquitous computing, EUC 2010

ISBN: (纸本)9780769543222

the proceedings contain 125 papers. the topics discussed include: schedule swapping: a technique for temperature management of distributed embedded systems;user-level network protocol stacks for automotive infotainment systems;replay debugging for multi-threaded embedded software;optimizing runtime reconfiguration decisions;architectural support for reducing parallel processing overhead in an embedded multiprocessor;trading conditional execution for more registers on ARM processors;co-simulation of self-adaptive automotive embedded systems;empirical evaluation of content-based pub/sub systems over cloud infrastructure;a reflective service gateway for integrating evolvable sensor-actuator networks with pervasive infrastructure;handling mobility on a QoS-aware service-based framework for mobile systems;trust measurement methods in organic computing systems by direct observation;and rule-based approach for context inconsistency management scheme in ubiquitous computing.

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Numerical Health Check of Industrial Simulation Codes from HPC Environments to New Hardware technologies

Numerical Health Check of Industrial Simulation Codes from H...

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8th international conference, PPAM 2009

作者： Denis, Christophe EDF Res & Dev SINETICS Dept F-92141 Clamart France

ISBN: (纸本)9783642144028

the numerical health check of industrial codes is crucial to give confidence about the computed results performed by studying the round-off error propagation this problem is exacerbated in a super-computing environment where trillions of floating-point operations may be performed every second A parallel program based on domain decomposition as shown in this paper could compute slightly different results depending on the number of processors this numerical health check is also needed to verify if a numerical code (or some parts of the numerical code) could still have an acceptable accuracy when using single precision instead of double precision which is useful to run numerical codes on new hardware technologies like GPU where the double precision is unavailable or expensive the round-off error propagation is measured with the MPFI (interval arithmetic approach) and CADNA (probabilistic approach) libraries

关键词： Health

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Application of ADMIRE Data Mining and Integration technologies in Environmental Scenarios

Application of ADMIRE Data Mining and Integration Technologi...

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8th international conference, PPAM 2009

作者： Ciglan, Marek Habala, Ondrej Tran, Viet Hluchy, Ladislav Kremler, Martin Gera, Martin Slovak Acad Sci Inst Informat Dubravska Cesta 9 Bratislava 84507 Slovakia Comenius Univ Fac Math Phys & Informat Bratislava 84248 Slovakia

ISBN: (纸本)9783642144028

In this paper we present our work on the engine for integration of environmental data We present a suite of selected environmental scenarios, which are integrated into a novel data mining and integration environment being developed in the project ADMIRE the scenarios have been chosen for their suitability for data mining by environmental experts they deal with meteorological and hydrological problems, and apply the chosen solutions to pilot areas within Slovakia the main challenge is that the environmental data required by scenarios are maintained and provided by different organizations and are often in different formats. We present our approach to the specification and execution of data integration tasks, which deals with the distributed nature and heterogeneity of required data resources.

关键词： Environmental applications distributed data management data integration OGSA DAI

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ParaCube: A scalable OLAP model based on distributed aggregate computing with sibling cubes

ParaCube: A scalable OLAP model based on distributed aggrega...

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12th international Asia Pacific Web conference, APWeb 2010

作者： Zhang, Yansong Wang, Shan Huang, Wei Key Laboratory of the Ministry of Education for Data Engineering and Knowledge Engineering Beijing 100872 China School of Information Renmin University of China Beijing 100872 China Department of Computer Harbin Financial College Harbin Helongjiang 150030 China

ISBN: (纸本)9780769540122

the requirements of OLAP applications increase rapidly by dramatically increased data volume, users, query volume and query complexity. the requirement for shortening update period in data warehouse is another crucial factor for a scalable OLAP application. In this paper, we propose a scalable OLAP prototype to support the query processing with increasing data volume by distributing the whole fact tuples to multiple servers to construct a set of sibling cubes which can be merged together to obtain the whole cube. We employ a light weight distribution policy with fully duplicated dimension tables in each sibling server on the observation of very low proportion of space cost for dimension tables. OLAP query with distributed aggregate functions can be transformed into queries to be performed parallel in sibling servers. For non-distributed computing aggregate functions, such as median, the optimized median aggregate computing algorithm is proposed to reduce transmission volume between servers while computing the global median values. We also present a three-level framework in data warehouse to meet the requirement of shorter update period in "operational business intelligence". An asynchronous tunnel model is proposed to reduce update latency by pre-fetching updated tuples to OLAP processing server. Finally, we set up prototype system ParaCube to evaluate performance in SN (shared-nothing) system and multi-core platforms. © 2010 IEEE.

关键词： Data warehouses

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8th international conference on Practical applications of Agents and Multiagent Systems, PAAMS 2010

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8th international conference on Practical applications of Agents and Multiagent Systems, PAAMS 2010

ISBN: (纸本)9783642124327

the proceedings contain 85 papers. the special focus in this conference is on Practical applications of Agents and Multiagent Systems. the topics include: Towards soccer simulation as a testbed for adaptive systems and agreement technologies;normative argumentation;Engineering ambient intelligence services by means of MABS⋆;mobile agent middleware for intelligent management of communication infrastructures;a multiagent system for efficient portfolio management;managing real-time web services through agents;Open MAS architecture. Providing real time solutions;pathagent: Multi-agent system for updated pathway information integration;multi-agent system for mass spectrometry analysis;multi-agent personal memory assistant;TENSSION: A tool for the medical patient follow-up;Dynamic planning with bayesian network applied in MAS;enhancing the role of multi-agent systems in the development of intelligent environments;towards distributed wireless intelligent sensor networks;context-aware agents for vehicular networks: An aspect-oriented approach;reasoning on a semantic web based context-awareness middleware;agent-based ami system case study: the easy line + project;multiagent system for detecting passive students in problem-based learning;context-aware agents for people detection and stereoscopic analysis;Analysis and design of a SOA-based multi-agent architecture;a multiagent scheduling repair method for disruption management in complex socio-technical organizations;price updating in combinatorial auctions for coordination of manufacturing multiagent systems;Study on integrated model of lean and agile supply chain based on multi-DPs;towards improving supply chain coordination through agent-based simulation;using multi-agent system for improving and implementing a new enterprise modeling tool;Production process based on CIMOSA modeling approach and software agents;e-wedding based on multi-agent system.

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Packet content matching with packetC searchsets

Packet content matching with packetC searchsets

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16th IEEE international conference on parallel and distributed Systems, ICPADS 2010

作者： Duncan, Ralph Jungck, Peder Ross, Kenneth Tillman, Scott CloudShield Technologies SAIC company Sunnyvale CA United States

ISBN: (纸本)9780769543079

Increasing speeds and volumes push network packet applications to use parallel processing to boost performance. Examining the packet payload (message content) is a key aspect of packet processing. applications search payloads to find strings that match a pattern described by regular expressions (regex). Searching for multiple strings that may start anywhere in the payload is a major obstacle to performance. Commercial systems often employ multiple network processors to provide parallel processing in general and use regex software engines or special regex processors to speed up searching performance via parallelism. Typically, regex rules are prepared separately from the application program and compiled into a binary image to be read by a regex processor or software engine. Our approach integrates specifying search rules with specifying network application code written in packet C, a C dialect that hides host-machine specifics, supports coarse-grain parallelism and supplies high-level data type and operator extensions for packet processing. packetC provides a search set data type, as well as match and find operations, to support payload searching. We show that our search set operator implementation, using associative memory and regex processors, lets users enjoy the performance benefits of parallel regex technology without learning hardware-specifics or using a separate regex toolchain's use. © 2010 IEEE.

关键词： Application programs

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A Hybrid parallel Algorithm for Transforming Finite Element Functions from Adaptive to Cartesian Grids

A Hybrid Parallel Algorithm for Transforming Finite Element ...

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23rd international Symposium on High Performance computing Systems and applications

作者： Fortmeier, Oliver Buecker, H. Martin Rhein Westfal TH Aachen Inst Comp Sci Aachen Germany

ISBN: (纸本)9783642126581

High-performance computing is often used in various fields of computational science and engineering where the availability of a large memory is crucial to represent given problems. For problems arising from the discretization of partial differential equations, adaptivity is an alternative approach to reduce the storage requirements. We present an illustrating example demonstrating the need for an algorithm change when a serial hierarchical data structure is parallelized. More precisely, we investigate this issue taking as example an algorithm to transform finite element functions defined on an adaptive grid into functions on a Cartesian grid. By combining distributed- and shared-memory parallelization, the resulting hybrid parallel algorithm involves two levels of parallelism. the performance of the parallel algorithm is shown to be highly problem dependent. there are certain problem instances where the speedup is satisfactory while there is a dramatic performance reduction for other problem instances. the numerical experiments are given for transformations resulting from three-dimensional computational fluid dynamic problems. the problem instances are given by up to 750 000 tetrahedra representing about 3 millions of unknown variables. the experiments are carried out on a Xeon-based cluster using up to 64 processors.

关键词： parallel algorithms

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parallel EM-Clustering: Fast convergence by asynchronous model updates

Parallel EM-Clustering: Fast convergence by asynchronous mod...

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10th IEEE international conference on Data Mining Workshops, ICDMW 2010

作者： Plant, Claudia Böhm, Christian Florida State University Tallahassee FL United States University of Munich Munich Germany

ISBN: (纸本)9780769542577

the data explosion in many applications requires efficient data mining solutions. Fortunately, emerging technologies like grid and cloud computing, high-performance multi-core processors and graphics processing units provide the potential to keep pace with the data explosion and open up new opportunities for designing efficient algorithms. In this paper, we propose a parallel variant of the Expectation Maximization (EM) algorithm suitable for clustering large data sets in a distributed environment. the conventional EM algorithm sequentially iterates two phases: In the E-step, points are assigned to the clusters and in the M-step the cluster models are updated. the basic idea of our approach is allowing asynchronous model updates for faster convergence and best usage of the available resources. the frequency of the updates can be flexibly adjusted to the specific characteristics of the environment including communication costs and computing power of the single devices. An extensive experimental evaluation demonstrates the benefits of our approach. © 2010 IEEE.

关键词： Graphics processing unit

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Efficient object storage journaling in a distributed parallel file system 8

Efficient object storage journaling in a distributed paralle...

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8th USENIX conference on File and Storage technologies, FAST 2010

作者： Oral, Sarp Wang, Feiyi Dillow, David Shipman, Galen Miller, Ross Drokin, Oleg National Center for Computational Sciences Oak Ridge National Laboratory United States Lustre Center of Excellence ORNL Sun Microsystem Inc

ISBN: (纸本)9781931971744

Journaling is a widely used technique to increase file system robustness against metadata and/or data corruptions. While the overhead of journaling can be masked by the page cache for small-scale, local file systems, we found that Lustre's use of journaling for the object store significantly impacted the overall performance of our large-scale center-wide parallel file system. By requiring that each write request wait for a journal transaction to commit, Lustre introduced serialization to the client request stream and imposed additional latency due to disk head movement (seeks) for each request. In this paper, we present the challenges we faced while deploying a very large scale production storage system. Our work provides a head-to-head comparison of two significantly different approaches to increasing the overall efficiency of the Lustre file system. First, we present a hardware solution using external journaling devices to eliminate the latencies incurred by the extra disk head seeks due to journaling. Second, we introduce a software-based optimization to remove the synchronous commit for each write request, side-stepping additional latency and amortizing the journal seeks across a much larger number of requests. Both solutions have been implemented and experimentally tested on our Spider storage system, a very large scale Lustre deployment. Our tests show both methods considerably improve the write performance, in some cases up to 93%. Testing with a real-world scientific application showed a 37% decrease in the number journal updates, each with an associated seek - which translated into an average I/O bandwidth improvement of 56.3%.

关键词： Digital storage

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Extending java's communication mechanisms for multicore processors

Extending java's communication mechanisms for multicore proc...

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Work-in-Progress Session, P3JW 2010 - At the 8th international conference on the Principles and Practice of Programming in Java, PPPJ 2010

作者： Wells, George C. Department of Computer Science Rhodes University Grahamstown South Africa

With the current trend towards the increased use of multicore processors, there is a growing need for simple, efficient parallel programming mechanisms. While Java has good support for multithreaded and distributed application development, our research into tuple-space systems for multicore processors highlighted a gap in the concurrency facilities available in Java. this arises in the context of independent applications (running in separate virtual machines) that need to synchronise their activities or communicate with each other. there are several possible solutions to this problem, ranging from extensions to the language and/or runtime environment through to the use of distributed programming methods. Using the latter introduces considerable performance overheads, and so we explored the use of the Java Native Interface in order to take advantage of the interprocess communication (IPC) facilities provided by the underlying operating system. the analysis and comparison of the performance of the standard approaches and our prototype library suggest that there are real benefits to be gained by alternative approaches to the provision of IPC mechanisms for independent Java programs executing on multicore systems. We hope that these findings will spur further investigation of this problem and other possible solutions.

关键词： parallel programming

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