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检索条件"任意字段=9th International Conference on Parallel and Distributed Computing, Applications and Technologies"

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Space-efficient sparse matrix storage formats for massively parallel systems

Space-efficient sparse matrix storage formats for massively ...

引用

14th IEEE international conference on High Performance computing and Communications (HPCC) / IEEE 9th international conference on Embedded Software and Systems (ICESS)

作者： Simecek, I. Langr, D. Tvrdik, P. Czech Tech Univ Fac Informat Technol Dept Comp Syst CR-16635 Prague Czech Republic

ISBN: (纸本)9780769547497

In this paper, we propose and evaluate new storage formats for sparse matrices that minimize the space complexity of information about matrix structure. the motivation of our work are applications with very large sparse matrices that due to their size must be processed on massively parallel computer systems consisting of tens or hundreds of thousands of processor cores and that must be stored in a distributed file system using parallel I/O. the parallel I/O is typically the main performance bottleneck and reading or writing such matrices from/to distributed file system can take significant amount of time. We try to reduce this time by reducing the amount of data to be processed.

关键词： advanced hierarchical format basic hierarchical format parallel I/O space-efficient formats sparse matrix storage formats

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the parallel computing of a molecular docking algorithm using the JavaSpaces service

The parallel computing of a molecular docking algorithm usin...

引用

6th international conference on Sciences of Electronics, technologies of Information and Telecommunications (SETIT)

作者： Youcef, Mahdjoub Belhadri, Messabih Universit&#x00E9'||' '||' des Sciences et de la Technologie d''Oran USTO IVARM

ISBN: (纸本)9781467316583

the molecular docking is the focus of practical applications such as protein engineering and drug design. A docking algorithm is a procedure that predicts the assembly of two molecules like a key and a lock. To screen a large library of molecules, a docking algorithm requires high performance computing. parallel and distributed applications have long been recognized as powerful computational tools and effective in the field of bioinformatics. Jini technology is one of the powerful infrastructures network for building and deploying distributed systems that are organized as a federation of services. JavaSpaces is one of the services that come bundled with Jini, it is a shared associative memory accessible by the network and allows an easily developing of a massively parallel and distributed applications. this paper discusses the use of the JavaSpaces service to build a distributed application in order to minimize the running time of a molecular docking algorithm.

关键词： Jini JavaSpaces molecular docking parallel and distributed applications

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Scalable Performance Predictions of distributed Peer-to-Peer applications

Scalable Performance Predictions of Distributed Peer-to-Peer...

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14th IEEE international conference on High Performance computing and Communications (HPCC) / IEEE 9th international conference on Embedded Software and Systems (ICESS)

作者： Cornea, Bogdan Florin Bourgeois, Julien the Tung Nguyen El-Baz, Didier Univ Franche Comte FEMTO ST Inst DISC 1 Cours Leprince Ringuet F-25201 Montbeliard France CNRS LAAS F-31400 Toulouse France Univ De Toulouse LAAS F-31400 Toulouse France

ISBN: (纸本)9780769547497

Recently, a new environment for high performance peer-to-peer distributed computing was proposed. this environment, named P2PDC, addresses stable or volatile systems communicating in a decentralized manner using the self-adaptive protocol P2PSAP. P2PDC is devoted to task parallel applications like numerical simulation problems or optimization problems solved via parallel or distributed iterative algorithms. For distributed applications meant to run with P2PDC, a performance prediction tool named dPerf was proposed. dPerf combines static and dynamic analysis with trace-based simulation to provide scientist with information about the execution of their large scale numerical simulation applications. dPerf addresses real parallel and distributed numerical simulation and optimisation applications written in C, C++ or Fortran for P2PDC. this paper introduces an enhancement of the dPerf tool which provides scalable performance prediction results. Scaling is done with respect to (i) network configuration and (ii) number of peers. Scaling predictions based on network configuration is achieved through trace-based simulation, where various architectures can be studied. Scaling predictions based on the number of peers implies analyzing the communication topology and modifying trace files prior to simulation. We present experimental results obtained for the obstacle problem, a C/P2PDC implementation of the code used in mechanics and finance. Prediction for this application is computed under real conditions, with a reduced slowdown and by providing user with scalable results.

关键词： Scalability performance prediction static analysis dynamic analysis peer-to-peer computing high performance computing task parallel model numerical simulation

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Design and Analysis of A Class of Simple Networks

Design and Analysis of A Class of Simple Networks

引用

13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Li, Tao Du, Huimin Zhang, Liguo Han, Jungang Xian Univ Posts & Telecom Sch Elect Engn Xian Peoples R China Xian Univ Posts & Telecom Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9780769548791

A class of simple network topologies is proposed and analyzed in this paper as part of the research on a polymorphous array architecture for graphics and image processing. the topologies are extended from the mesh network topology and are amenable to VLSI implementation. Simulation and theoretical analyses show that these topologies have many advantages over the mesh and Xmesh topologies. Routing algorithms are also proposed and analyzed for these new network topologies.

关键词： Interconnection network topology mesh topology message passing parallel architecture number of edges diameter biesection width

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Layered Models for General parallel Computation Based on Heterogeneous System

Layered Models for General Parallel Computation Based on Het...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Sheng, Yanxiu Gui, Lin Wei, Zhiqiang Duan, Jibing Liu, Yingying Ocean Univ China Coll Informat Sci & Engn Qingdao Shandong Peoples R China

ISBN: (纸本)9780769548791

the conventional unified parallel computation model becomes more and more complicated which has weak pertinence and little guidance for each parallel computing phase. therefore, a general layered and heterogeneous idea for parallel computation model research was proposed in this paper. the general layered heterogeneous parallel computation model was composed of parallel algorithm design model, parallel programming model, parallel execution model, and each model correspond to the three computing phases respectively. the properties of each model were described and research spots were also given. In parallel algorithm design model, an advanced language was designed for algorithm designers, and the corresponding interpretation system which based on text scanning was proposed to map the advanced language to machine language that runs on the heterogeneous software and hardware architectures. the parallel method library and parameter library were also provided to achieve the comprehensive utilization of the different computing resources and assign parallel tasks reasonably. theoretical analysis results show that the general layered heterogeneous parallel computation model is clear and single goaled for each parallel computing phase.

关键词： layered models heterogeneous system parallel algorithm design model interpretation system parallel programming model parallel execution model

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Scalable Solvers for 2D Time Domain Electromagnetic Simulations

Scalable Solvers for 2D Time Domain Electromagnetic Simulati...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Zhufu, Xiaohe Zhao, Ruifeng Xu, Jin Chinese Acad Sci Inst Software Lab Parallel Software & Sci Comp Beijing Peoples R China

ISBN: (纸本)9780769548791

In this paper, scalable solver for time domain electromagnetic simulations will be stdudied. this solver is developed with discontinuous Galerkin (DG) method on unstructured mesh. High-order nodal basis, employing multivariate Lagrange polynomials defined on the triangles has been used to expand the electromagnetic fields. Both periodic and perfect electric conduct (PEC) conditions have been implemented. Domain decomposition has been used for the parallelization, and good scalability has been achieved due to the DG algorithm. Benchmarks for this solver on different supercomputers will be shown. At last, large simulations with 1024 processors will be shown.

关键词： High-order accuracy Maxwell's equations Discontinuous Galerkin method hp-Finite Element Nodal bases Unstructured Mesh

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First experimental assessments of the adaptivity of the scheduling with AS4DR

First experimental assessments of the adaptivity of the sche...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Millot, Daniel Parrot, Christian Telecom SudParis Inst Mines Telecom Evry France

ISBN: (纸本)9780769548791

the AS4DR (Adaptive Scheduling for distributed Resources) scheduling method experimented in this paper aims at maximizing the CPU use efficiency when executing divisible load applications on heterogeneous distributed memory platforms. AS4DR adapts the scheduling to: the unawareness of the total workload, both the unspecification and the variation over time of the execution parameters (available communication speed, available computing speed, etc.). this paper presents the first experimental assessments of the adaptivity of the scheduling with this method.

关键词： parallel application multi-round divisible load scheduling heterogeneous platform adaptive scheduling unspecified distributed memory platform

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Multithread Reconfiguration Algorithm for Mesh-connected Processor Arrays

Multithread Reconfiguration Algorithm for Mesh-connected Pro...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Shen, Yuze Wu, Jigang Jiang, Guiyuan Tianjin Polytech Univ Sch Comp Sci & Software Engn Tianjin 300387 Peoples R China Tianjin Univ Sch Comp Sci & Technol Tianjin 300072 Peoples R China

ISBN: (纸本)9780769548791

Mesh-connected processor array is a popular architecture used in parallel processing. Extensive studies have been conducted on reconfiguration algorithms for the processor arrays with faults, but few work is on parallel algorithm to accelerate the reconfiguration. this paper presents a fast algorithm to reconfigure two dimensional mesh-connected processor arrays with faults. A traditional algorithm is successfully accelerated in the manner of multithread, without loss of harvest. the proposed algorithm reconfigures the processor array with the mechanics of route distance in order to avoid the routing errors. Simulation results show that the proposed algorithm can accelerate the reconfiguration nearly by 15 times on a 64 x 64 array in comparison to the traditional algorithm cited in this paper.

关键词： Mesh processor array reconfiguration fault tolerance parallel routing

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A CPU-GPGPU Scheduler Based On Data Transmission Bandwidth Of Workload

A CPU-GPGPU Scheduler Based On Data Transmission Bandwidth O...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Huang, Wen Yu, Licheng Ye, Mingjiao Chen, Tianzhou Hu, Tongsen Zhejiang Univ Technol Coll Comp Sci Hangzhou Zhejiang Peoples R China Zhejiang Univ Coll Comp Sci Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9780769548791

With the continuous development of GPUs, modern general-purpose computation on GPUs (GPGPUs) is providing growing parallelism to general programs besides graphics applications. However, for those programs that involve both CPU and GPU, the data transmission bandwidth between them may become bottleneck that prevents GPU from fully exploiting its parallel computing capacity. As to avoid the defect, we try to reduce the data transmission by keeping part of the computation tasks on the CPU side other than sending all the data over to the GPU and process there. In this way the computation is done on CPU and GPU in parallel, and therefore also reduces overall process time. In order to split the computation workload in a systematic approach, we try to divide the corresponding data into chunks of proper size. We experimented our data dividing and heterogeneous memory scheduling with 2 benchmarks. the matrix multiplication is more than 30% faster, and the k - means2D is nearly 10% faster, than running solely in GPU.

关键词： Memory scheduling Data transmission Heterogeneous parallel computing GPGPU

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distributed computing and Artificial Intelligence 2012

引用

丛书名： Advances in Intelligent and Soft computing

2012年

作者： Sigeru Omatu Juan F. De Paz Santana Sara Rodríguez González Jose M. Molina Ana M. Bernardos Juan M. Corchado Rodríguez

ISBN: (数字)9783642287657

ISBN: (纸本)9783642287640

the international Symposium on distributed computing and Artificial Intelligence 2012 (DCAI 2012) is a stimulating and productive forum where the scientific community can work towards future cooperation in distributed computing and Artificial Intelligence areas. this conference is a forum in which applications of innovative techniques for solving complex problems will be presented. Artificial intelligence is changing our society. Its application in distributed environments, such as the internet, electronic commerce, environment monitoring, mobile communications, wireless devices, distributed computing, to mention only a few, is continuously increasing, becoming an element of high added value with social and economic potential, in industry, quality of life, and research. these technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. the exchange of ideas between scientists and technicians from both the academic and industry sector is essential to facilitate the development of systems that can meet the ever increasing demands of today's society. this edition of DCAI brings together past experience, current work, and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. this symposium is organized by the Bioinformatics, Intelligent System and Educational Technology Research Group (http://***/) of the University of Salamanca. the present edition will be held in Salamanca, Spain, from 28th to 30th March 2012.

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