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检索条件"任意字段=International Symposium on Software Engineering for Parallel and Distributed Systems"

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Hardware based online profiling in AMIDAR processors

Hardware based online profiling in AMIDAR processors

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international symposium on parallel and distributed Processing (IPDPS)

作者： S. Gatzka C. Hochberger Embedded Systems Dresden University of Technology Dresden Germany

Dynamically reconfigurable architectures offer the opportunity to migrate software into hardware functional units at runtime. Architectures derived from the AMIDAR model exhibit such possibilities. Yet, the question has to be answered, which parts of the running application should be transformed into hardware. The migration of complete methods or procedures into hardware is often not feasible. In this contribution we show a hardware circuit that enables the processor to collect an execution profile of Java methods with a high resolution. We also show, how this profile information can be used to make reasonable choices for candidate instruction sequences.

关键词： Hardware Java Embedded system Runtime Application software Costs Embedded software Computer architecture Circuits Computer languages

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A parallel implementation of chebyshev preconditioned conjugate gradient method

A parallel implementation of chebyshev preconditioned conjug...

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international symposium on parallel and distributed Computing

作者： C. Akcadogan H. Dag Computational Science and Engineering Program Informatics Institute Istanbul Technical University Istanbul Turkey

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Organic Computing and Model-Driven engineering in Embedded systems

Organic Computing and Model-Driven Engineering in Embedded S...

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international symposium on Object-Oriented Real-Time distributed Computing

作者： Mike Hinchey Roy Sterritt University of Ulster Jordanstown UK Lero-the Irish Software Engineering Research Centre University of Limerick Jordanstown Ireland

Model-driven engineering (MDE), and its various forms (such as OMG's MDA: model-driven architecture) is a software development methodology focusing on creating models and abstractions for a specific domain. It aims to increase productivity and avoid traditional SDLC problems by maximizing compatibility between systems, simplifying the process of design, and promoting understanding and communication between stakeholders and developers. Organic computing is a vision for a particular type of system, and considers what is to be delivered (self-management). MDE involves applied research into how to deliver systems. Both have the development of more effective systems as a high level objective, and so can be viewed as complementary.

关键词： Embedded computing Model driven engineering Embedded system Computer vision Biology computing Real time systems software engineering Computer industry Computer networks distributed computing

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Stochastically Robust Resource Management in Heterogeneous parallel Computing systems

Stochastically Robust Resource Management in Heterogeneous P...

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international symposium on parallel Architectures, Algorithms and Networks (ISPAN)

作者： Howard Jay Siegel Department of Electrical and Computer Engineering Department of Computer Science Colorado State University Fort Collins CO USA

This extended abstract describes the keynote presentation "stochastically robust resource management in heterogeneous parallel computing systems," to be given by H. J. Siegel. What does it mean for a computer system to be "robust"? How can robustness be described? How does one determine if a claim of robustness is true? How can one decide which of two systems is more robust? Often people state that their system software component, piece of hardware, application code, or technique is "robust," but never define what they mean by "robust." How does one determine if a claim of robustness is true when it is not defined? Furthermore, without a definition, robustness cannot be quantified, so if two people claim to have robust computing systems, for example, how can one decide which is the more robust? These are the types of issues we address in this keynote presentation. We study robustness in the context of resource allocation in heterogeneous parallel and distributed computing systems, but the robustness concepts presented have broad applicability. In heterogeneous parallel and distributed computing environments, a collection of different machines is interconnected and provides a variety of computational capabilities. These capabilities can be used to execute a workload composed of different types of applications, each of which may consist of multiple tasks, where the tasks have diverse computational requirements. The execution times of a task may vary from one machine to the next, and just because some machine A is faster than some machine B for task 1 does not mean it will be faster for task 2. Furthermore, there can be inter-task data dependencies. Tasks must share the computing and communication resources of the system. A critical research problem is how to allocate resources to tasks to optimize some performance objective. However, systems frequently have degraded performance due to uncertainties, such as unexpected machine failures, changes in system workload, or i

关键词： Robustness Resource management parallel processing distributed computing Stochastic processes Concurrent computing Uncertainty System performance Wireless sensor networks System software

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Euro-Par 2014: parallel Processing Workshops 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Luís Lopes Julius Žilinskas Alexandru Costan Roberto G. Cascella Gabor Kecskemeti Emmanuel Jeannot Mario Cannataro Laura Ricci Siegfried Benkner Salvador Petit Vittorio Scarano José Gracia Sascha Hunold Stephen L. Scott Stefan Lankes Christian Lengauer Jesús Carretero Jens Breitbart Michael Alexander

ISBN: (数字)9783319143132

ISBN: (纸本)9783319143125

The two volumes LNCS 8805 and 8806 constitute the thoroughly refereed post-conference proceedings of 18 workshops held at the 20th international Conference on parallel Computing, Euro-Par 2014, in Porto, Portugal, in August 2014. The 100 revised full papers presented were carefully reviewed and selected from 173 submissions. The volumes include papers from the following workshops: APCI&E (First Workshop on Applications of parallel Computation in Industry and engineering - BigDataCloud (Third Workshop on Big Data Management in Clouds) - DIHC (Second Workshop on Dependability and Interoperability in Heterogeneous Clouds) - FedICI (Second Workshop on Federative and Interoperable Cloud Infrastructures) - Hetero Par (12th international Workshop on Algorithms, Models and Tools for parallel Computing on Heterogeneous Platforms) - HiBB (5th Workshop on High Performance Bioinformatics and Biomedicine) - LSDVE (Second Workshop on Large Scale distributed Virtual Environments on Clouds and P2P) - MuCoCoS (7th international Workshop on Multi-/Many-core Computing systems) - OMHI (Third Workshop on On-chip Memory Hierarchies and Interconnects) - PADAPS (Second Workshop on parallel and distributed Agent-Based Simulations) - PROPER (7th Workshop on Productivity and Performance) - Resilience (7th Workshop on Resiliency in High Performance Computing with Clusters, Clouds, and Grids) - REPPAR (First international Workshop on Reproducibility in parallel Computing) - ROME (Second Workshop on Runtime and Operating systems for the Many Core Era) - SPPEXA (Workshop on software for Exascale Computing) - TASUS (First Workshop on Techniques and Applications for Sustainable Ultrascale Computing systems) - UCHPC (7th Workshop on Un Conventional High Performance Computing) and VHPC (9th Workshop on Virtualization in High-Performance Cloud Computing.

关键词： System Performance and Evaluation software engineering/Programming and Operating systems Computer Communication Networks Database Management Algorithm Analysis and Problem Complexity Information systems Applications (incl. Internet)

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Organic Computing - Addressing complexity by controlled self-organization

Organic Computing - Addressing complexity by controlled self...

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2nd international symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2006

作者： Branke, Jürgen Mnif, Moez Müller-Schloer, Christian Prothmann, Holger Richter, Urban Rochner, Fabian Schmeck, Hartmut Institute AIFB 76128 Karlsruhe Germany Leibniz Universität Hannover Institute of Systems Engineering Appelstr. 4 30167 Hannover Germany

ISBN: (纸本)0769530710

In the past, the focus of the computer industry has been to improve hardware performance and add more and more features to the software. As a result, more and more appliances surrounding us are equipped with embedded computational power and wireless communication. As such, they become ever more flexible and multifunctional, and almost indispensable in daily life. On the other hand, the resulting systems become increasingly complex and unreliable, posing new challenges to designer and user. Organic Computing (OC) has the vision to address the challenges of complex distributed systems by making them more life-like (organic), i.e. endowing them with abilities such as self-organization, self-configuration, self-repair, or adaptation. The designer's task is simplified, because it is no longer necessary to exactly specify the low-level system behavior in all possible situations that might occur, but instead leaving the system with a certain degree of freedom which allows it to react in an intelligent way to new situations. Also, use of such systems is simplified, as they can be controlled by setting few high-level goals, rather than having to manipulate many low-level parameters with unclear influence. In this paper, we give a general introduction to OC, and propose a generic observer-controller architecture as a framework for designing OC systems. Then, it is shown how to use this architecture at the example of a traffic light controller. The paper concludes with a summary and a discussion of future challenges. © 2007 IEEE.

关键词： Computer hardware

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Dynamic computation scheduling for load balancing in home-based software DSMs

Dynamic computation scheduling for load balancing in home-ba...

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international symposium on parallel Architectures, Algorithms and Networks (ISPAN)

作者： Weisong Shi Zhimin Tang Institute of Computing Technology Chinese Academy and Sciences Beijing China

Load balancing is a critical issue for achieving good performance in parallel and distributed systems. However, this issue is neglected in the research area of software DSMs in the past decade. In this paper, we present and evaluate a dynamic computation scheduling scheme for load balancing of iterative applications in software DSM system. The experiment platform is a home based DSM system named JIAJIA. Preliminary results show that this load balancing scheme is efficient and can be used in other software DSM systems. Compared with simple chunk self scheduling scheme which works well for single iteration applications, the system performance is improved by about 30% with the affinity-based self scheduling proposed in this paper.

关键词： Home computing Processor scheduling Dynamic scheduling Load management Application software software systems Iterative algorithms software performance System performance Concurrent computing

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Stochastic Analysis of Solving Complex Problem on distributed Computer

Stochastic Analysis of Solving Complex Problem on Distribute...

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international Conference on parallel Computing in Electrical engineering (PARLEC)

作者： K.V. Pavsky Computer Systems Laboratory Institute of Semiconductor Novosibirsk Russia

The analysis of time and readability of parallel solving complex problems on distributed computer systems (CS) is presented. The derivation of equation for calculating the efficiency indices is based on the assumption that the time of problem solution on CS is a function of time of problem solution on one elementary machine, and the function has a finite number of discontinuities. The discontinuities have the probabilistic character and correspond to the CS failures that require reconfiguration of the CS (structure readjustability with regard to working machine only). A notion of complex CS reconfiguration is introduced and the reconfiguration is investigated. A set of integral equations for calculating the function of realizability of problem solution on distributed CSs is derived. A parallel algorithm for its computing is described

关键词： Stochastic processes distributed computing Concurrent computing parallel processing Robustness Power system reliability Stochastic systems Laboratories Integral equations Cascading style sheets

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Grid accounting information service with end-to-end user identity

Grid accounting information service with end-to-end user ide...

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3rd international symposium on parallel and distributed Processing and Applications, ISPA 2005

作者： Kim, Beob Kyun Jang, Haeng Jin Li, Tingling An, Dong Un Chung, Seung Jong Dept. of Computer Engineering Chonbuk National University Korea Republic of Korea Institute of Science and Technology Information

ISBN: (纸本)3540297693

Grid computing virtualizes heterogeneous geographically disperse resources. Because of the characteristics of the grid environment, the concept of 'user' is different from that of traditional local computing environment. That mean, new resolution that providing the end-to-end user identity from grid user to local account is needed. In this paper, we design and implement an accounting information gathering and service (AIService) system. To resolve this problem, we designed a grid access control system, called PGAM. Usage Record of UR-WG in GGF is used as a common usage record. And we designed and implemented a grid service which provides the gathered accounting information. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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A novel specification and design methodology of embedded multiprocessor signal processing systems using high-performance middleware

A novel specification and design methodology of embedded mul...

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15 Workshops Held in Conjunction with the IEEE international parallel and distributed Processing symposium, IPDPS 2000

作者： Janka, Randall S. Wills, Linda M. Georgia Institute of Technology Georgia Tech Research Institute Atlanta GA 30332-0856 United States Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA 30332-0250 United States

ISBN: (纸本)354067442X

Embedded signal processing system designers need to be able to prototype their designs quickly and validate them early. This must be done in a manner that avoids premature commitment to the implementation target, especially when that target includes costly COTS parallel multiprocessing hardware. A new specification and design methodology known as MAGIC enables the designer to move from an executable specification through design exploration and on to implementation with minimal loss of specification and design information by leveraging compuation middleware (VSIPL) and communication middleware (MPI). Maintaining such information is a quality known as "model continuity," which is established using the MAGIC specification and design methodology. © 2000 Springer-Verlag Berlin Heidelberg.

关键词： Middleware

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