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33rd IEEE International parallel and distributed Processing Symposium (IPDPS)

作者： Marzulo, Leandro A. J. Bianchini, Calebe P. Santiago, Leandro Ferreira, Victor C. Goldstein, Brunno F. Franca, Felipe M. G. Univ Estado Rio De Janeiro UERJ Inst Matemat & Estat Rio De Janeiro Brazil Univ Presbiteriana Mackenzie Fac Comp & Informat Sao Paulo SP Brazil Univ Fed Rio De Janeiro UFRJ Programa Engn Sistemas & Comp COPPE Rio De Janeiro Brazil

ISBN: (纸本)9781538655559

parallel and distributed programming is essential for exploiting the processing power of modern computing platforms. However, during the first years of a Computer Science course, students usually learn problem solving techniques, data structures and programming paradigms that are inherently sequential, hindering the transition to parallel architectures. parallel Programming Marathons organized in Brazil are similar to other Programming Competitions around the world and have been used for teaching and stimulating undergraduate and graduate students into learning to "think in parallel" and to develop applications for different parallel architectures, including multicores, clusters and accelerators. This paper presents the structure of this parallel Programming Marathon and an overview of how it supports regional and national contests. Also, this work presents use cases on parallel and distributed computing course from two different Brazilian universities that use a challenge based learning approach and employ marathon problems as course assignments. This approach contributed to increase students' interest towards High Performance computing.

关键词： High Performance computing Marathon of parallel Programming parallel and distributed computing

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Unplugged Activities to Introduce parallel computing in Introductory Programming Classes: an Experience Report 19

Unplugged Activities to Introduce Parallel Computing in Intr...

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ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)

作者： Ghafoor, Sheikh K. Brown, David W. Rogers, Mike Hines, Thomas Tennessee Technol Univ Cookeville TN 38505 USA

ISBN: (纸本)9781450363013

Learning programming in early introductory classes is challenging for first year university students, and introducing parallel programming (PDC) in early classes along with traditional sequential programming is even more challenging. Unplugged activities may help alleviate some of the difficulties for students. Unplugged activities have been shown to increase student interest, and to enhance student understanding of CS programming concepts [1]. We have used unplugged activities to teach PDC concepts before introducing parallel programming. Our experiences show that using unplugged activities to introduce the PDC concepts reduce the barrier to learn parallel programming.

关键词： Unplugged Activities parallel and distributed computing Introductory Programming

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Performance Comparison of GPU-Accelerated Particle Flow and Particle Filters

Performance Comparison of GPU-Accelerated Particle Flow and ...

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16th International Conference on Information Fusion (FUSION)

作者： Jilkov, Vesselin P. Wu, Jiande Chen, Huimin Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA

ISBN: (纸本)9786058631113

This paper presents design, implementation, and performance evaluation results of a parallel particle filter (PF) and a particle flow filter (PFF) using a Graphics Processing Unit (GPU) as a parallel computing environment to speedup the computation. Simulation results from a high dimensional nonlinear filtering problem show that, for the considered example, the parallel PFF implementation is significantly superior to the parallel PF implementation in both estimation accuracy and computational performance. It is demonstrated that using GPU can markedly accelerate both particle filters and particle flow filters through parallelization.

关键词： Nonlinear filtering particle filter particle flow filter parallel and distributed computing GPU

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Beam-tracing domain decomposition method for urban acoustic pollution 13

Beam-tracing domain decomposition method for urban acoustic ...

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13th International Symposium on distributed computing and Applications to Business, Engineering and Science (DCABES)

作者： Gbikpi-Benissan, Guillaume Magoules, Frederic Ecole Cent Paris Chatenay Malabry France

ISBN: (纸本)9781479941698

This paper covers the fast solution of large acoustic problems on low-resources parallel platforms. A domain decomposition method is coupled with a dynamic load balancing scheme to efficiently accelerate a geometrical acoustic method. The geometrical method studied implements a beam-tracing method where intersections are handled as in a ray-tracing method. Beyond the distribution of the global processing upon multiple sub-domains, a second parallelization level is operated by means of multi-threading and shared memory mechanisms. Numerical experiments show that this method allows to handle large scale open domains for parallel computing purposes on few machines. Urban acoustic pollution arrising from car traffic was simulated on a large model of the Shinjuku district of Tokyo, Japan. The good speed-up results illustrate the performance of this new domain decomposition method.

关键词： Domain decomposition methods parallel and distributed computing Acoustics Ray-tracing methods Beam-tracing methods

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An agent infrastructure for on-demand processing of remote-sensing archives

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INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES 2005年第2期5卷 120-132页

作者： Yang, Yanyan Rana, Omer F. Walker, David W. Williams, Roy Georgousopoulos, Christos Caffaro, Massimo Aloisio, Giovanni Cardiff Univ Dept Comp Sci POB 916 Cardiff CF24 3XF S Glam Wales CALTECH Ctr Adv Comp Res CACR 158 79 Pasadena CA 91125 USA Univ Lecce Fac Engn Dept Innovat Engn I-73100 Lecce Italy

Advances in data collection techniques and database technologies, such as remote sensing and satellite telemetry, have led to the collection of huge amounts of data distributed among large databases and heterogeneous remote sites. Intelligent and automatic processing of the distributed data and efficiently supporting scientific collaboration between both professional and casual users is a highly demanding task. It is also particularly challenging when the system must cope with active data that is processed on-demand. These requirements have generated an urgent need for more advanced software infrastructure to create, maintain, evolve, and federate these active digital libraries of scientific data. Traditional models of distributed computing are inadequate to support such complex applications. As part of the ongoing Synthetic Aperture Radar Atlas (SARA) Digital Library project, the research presented here proposes a collaborating mobile agent approach to on-demand processing of remote sensing data. The approach, which is based on autonomous data processing and enables different image analysis algorithms to be wrapped asmobile agents, is expected to be an improvement over the static CGI-based interface and inefficient information discovery that are currently used by SARA. We discuss the agent-based infrastructure we have developed. The SARA system allows users to dispatch their compute-intensive jobs as mobile agents. Since the agents can be programmed to satisfy their specific goals, even if they move and lose contact with their creators they can survive intermittent or unreliable network connections. During their lifetime, the agents can also move themselves autonomously from one server to another for load balancing, and to enhance data locality and fault tolerance. The SARA system relies on XML to support agent communications on clusters of servers. Although the examples presented are based mainly on the SARA system, the proposed techniques are applicable to other

关键词： Digital libraries Mobile agents parallel and distributed computing XML Remote sensing

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Multi-path Coverage of All Final States for Model-Based Testing Theory Using Spark In-memory Design 14th

Multi-path Coverage of All Final States for Model-Based Test...

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14th International Conference on Verification and Evaluation of Computer and Communication Systems (VECoS)

作者： Adoni, Wilfried Yves Hamilton Krichen, Moez Nahhal, Tarik Elbyed, Abdeltif Hassan II Univ Casablanca Casablanca Morocco Albaha Univ FCSIT Albaha Saudi Arabia Univ Sfax ReDCAD Lab Sfax Tunisia

ISBN: (纸本)9783030659554;9783030659547

This paper deals with an efficient and robust distributed framework for finite state machine coverage in the field model based testing theory. All final states coverage in large-scale automaton is inherently computing-intensive and memory exhausting with impractical time complexity because of an explosion of the number of states. Thus, it is important to propose a faster solution that reduces the time complexity by exploiting big data concept based on Spark RDD computation. To cope with this situation, we propose a parallel and distributed approach based on Spark in-memory design which exploits A* algorithm for optimal coverage. The experiments performed on multi-node cluster prove that the proposed framework achieves significant gain of the computation time.

关键词： Model-based testing Coverage Big data Big graphs Apache spark Apache hadoop parallel and distributed computing

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A parallel logic language for transaction specification in multidatabase systems

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Journal of Systems Integration 1995年第3期5卷 219-252页

作者： Kühn, Eva Elmagarmid, Ahmed K. Leu, Yungho Boudriga, Noureddine Institute of Computer Languages University of Technology Vienna Vienna 1040 Argentinierstraße 8 Austria Indiana Center for Database Systems Purdue University Department of Computer Sciences West Lafayette 47907 IN United States CS Dept. School of Telecommunications University of Tunis II Ariana 2083 Tunisia

The realization of truly heterogeneous database systems is hampered by two principal obstacles. One is the unsuitability of traditional transaction models;this has led to the proposal of a number of new, advanced transaction models. The second is the lack of appropriate programming support for these advanced concepts. This paper addresses these two issues by pointing out the advantages of using a logic-based approach for the integration of autonomous software systems. © 1995 Kluwer Academic Publishers.

关键词： coordination languages heterogeneous transaction processing multidatabase systems parallel and distributed computing Prolog

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Local-area and wide-area computing: Architectures and tools 9

Local-area and wide-area computing: Architectures and tools

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9th Euromicro Workshop on parallel and distributed Processing

作者： Tavangarian, D Univ Rostock Dept Comp Sci D-18059 Rostock Germany

ISBN: (纸本)0769509878;0769509886

In this contribution, recent architectural approaches and roofs for local-area and wide-area computing ruing clusters of sewers, workstations, and PCs as multicomputers (i.e. parallel computing irt workstation clusters) are classified and described. The goat of such systems is to concentrate available computing resources To solve computing problems. A special focus of this contribution is a description of recent research in the field of cost-efficient parallel computing with standard component multicomputer systems, concentrating on locally organized clusters for local-area computing and on wide-area multiclusters (hyperclusters or clusters of clusters) for wide-ar-ea computing. Selected examples are given demonstrating the improvement through high-speed interconnection networks and optimized protocol system architectures in local-area systems and optimized organizations in wide-area systems.

关键词： workstation cluster parallel and distributed computing networks of workstations local-area computing wide-area computing high throughput

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A service oriented system for on demand dynamic structural analysis over computational Grids

A service oriented system for on demand dynamic structural a...

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7th International Conference on High Performance computing for Computational Science

作者： Alonso, J. M. Hernandez, V. Lopez, R. Molto, G. Univ Politecn Valencia Dept Sist Informat & Computac Camino Vera S-N Valencia 46022 Spain

ISBN: (纸本)9783540713500

In this paper we describe the implementation of a service oriented environment that enables to couple a parallel application, which performs the 3D linear dynamic structural analysis of high-rise buildings, to a Grid computing infrastructure. The Grid service, developed under Globus Toolkit 4, exposes the dynamic simulation as a service to the structural scientific community. It employs the GMarte middleware, a metascheduler that enables to perform the computationally intensive simulations on the distributed resources of a Grid-based infrastructure.

关键词： parallel and distributed computing cluster and grid computing large scale simulations in all areas of engineering and science

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distributed Individual-Based Simulation

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15th International Euro-Par Conference on parallel computing

作者： Liu, Jiming Dillencourt, Michael B. Bic, Lubomir F. Gillen, Daniel Lander, Arthur D. Univ Calif Irvine Irvine CA 92697 USA

ISBN: (纸本)9783642038686

Individual-based simulations are an important class of applications where a complex system is modeled as a collection of autonomous entities, each having its own identify and behavior in the underlying simulated space. The main drawback of such simulations is that they are extremely compute-intensive. We consider the class of individual-based simulations where the simulated entities interact with one another indirectly through the underlying simulated space, significant performance improvement is attainable through parallelism on a network of machines. We present a data distribution and an approach to reduce the communication overhead;which leads to significant performance improvements while preserving the accuracy of the simulation.

关键词： individual-based simulation parallel and distributed computing performance

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