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检索条件"任意字段=PDSE 2000: International Symposium on Software Engineering for Parallel and Distributed Systems"

共 944 条记录，以下是411-420 订阅

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Mapping DSP applications on processor systems with Coarse-Grain Reconfigurable hardware 20

Mapping DSP applications on processor systems with Coarse-Gr...

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20th IEEE international parallel and distributed Processing symposium, IPDPS 2006

作者： Galanis, Michails D. Dimitroulakos, Gregory Goutis, Costas E. VLSI Design Laboratory Electrical and Computer Engineering Department University of Patras Greece

ISBN: (纸本)1424400546

In this paper, we present performance results from mapping five real-world DSP applications on an embedded system-on-chip that incorporates coarse-grain reconfigurable logic with an instruction-set processor. The reconfigurable logic is realized by a 2-Dimensional Array of Processing Elements, A mapping flow for improving application's performance by accelerating critical software parts, called kernels, on the Coarse-Grain Reconfigurable Array is proposed. Profiling is performed for detecting critical kernel code, For mapping the detected kernels on the reconfigurable logic a priority-based mapping algorithm has been developed, The experiments for three different instances of a generic system show that the speedup from executing kernels on the Reconfigurable Array ranges from 9.9 to 151.1, with an average value of 54.1, relative to the kernels' execution on the processor. Important overall application speedups, due to the kernels' acceleration, have been reported for the five applications. These overall performance improvements range from 1.3 to 3.7, with an average value of 2.3, relative to an all-software execution. © 2006 IEEE.

关键词： Program processors

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Hierarchical multithreading: Programming model and system software 20

Hierarchical multithreading: Programming model and system so...

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20th IEEE international parallel and distributed Processing symposium, IPDPS 2006

作者： Gao, Guang R. Sterling, Thomas Stevens, Rick Hereld, Mark Zhu, Weirong Department of Electrical and Computer Engineering University of Delaware United States Center for Advanced Computing Research California Institute of Technology United States Department of Computer Science Louisiana State University United States Mathematics and Computer Science Division Argonne National Laboratory United States

ISBN: (纸本)1424400546

This paper addresses the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and the difficulties of programmer productivity (e.g. explicit locality management and scheduling, performance tuning, fragmented memory, and synchronous global barriers) to dramatically enhance the broad effectiveness of parallel processing for high end computing. We are developing a hierarchical threaded virtual machine (HTVM) that defines a dynamic, multithreaded execution model and programming model, providing an architecture abstraction for EEC system software and tools development. We are working on a prototype language, LITL-X (pronounced "little-X") for Latency Intrinsic-Tolerant Language, which provides the application programmers with a powerful set of semantic constructs to organize parallel computations in a way that hides/manages latency and limits the effects of overhead. This is quite different from locality management, although the intent of both strategies is to minimize the effect of latency on the efficiency of computation. We will work on a dynamic compilation and runtime model to achieve efficient LITL-X program execution. Several adaptive optimizations will be studied. A methodology of incorporating domain-specific knowledge in program optimization will be studied. Finally, we plan to implement our method in an experimental testbed for a HEC architecture and perform a qualitative and quantitative evaluation on selected applications. © 2006 IEEE.

关键词： parallel processing systems

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On-the-fly kernel updates for high-performance computing clusters 20

On-the-fly kernel updates for high-performance computing clu...

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20th IEEE international parallel and distributed Processing symposium, IPDPS 2006

作者： Makris, Kristis Kyung, Dong Ryu Arizona State University Dept. of Computer Science and Engineering Tempe AZ 85287 United States IBM T.J. Watson Research Center 1101 Kitchawan Rd. Yorktown Heights NY 10598 United States

ISBN: (纸本)1424400546

High-performance computing clusters running long-lived tasks currently cannot have kernel software updates applied to them without causing system down-time. These clusters miss opportunities for increased performance via specialized kernel support, cannot benefit from new kernel features, and continue to operate with kernel security holes unpatched, at least until the next scheduled maintenance date. We developed a system enabling dynamic kernel updates in parallel computing clusters to address these problems. Our system, DynAMOS, is founded on execution flow high-jacking through function cloning. It enables commodity operating systems popularly used in clusters gain adaptive and mutative capabilities. To demonstrate the efficacy of our system, we illustrate our experience in dynamically updating and extending a Linux cluster. We introduce adaptive memory paging for efficient gang-scheduling, extend the kernel's process scheduler to support unobtrusive fine-grain cycle stealing, apply public security fixes, and inject performance monitoring functionality to a selection of kernel functions. Our benchmarks show that the overhead imposed by DynAMOS is mostly in the range of 1-8% for common Linux kernel functions. © 2006 IEEE.

关键词： Computation theory

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Advances in applying genetic programming to machine learning, focussing on classification problems 20

Advances in applying genetic programming to machine learning...

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20th IEEE international parallel and distributed Processing symposium, IPDPS 2006

作者： Winkler, Stephan M. Affenzeller, Michael Wagner, Stefan Upper Austrian University of Applied Sciences College of Information Technology at Hagenberg Department of Software Engineering Hauptstraße 117 4232 Hagenberg Austria Johannes Kepler University Linz Institute for Design and Control of Mechatronical Systems Altenbergerstraße 69 4040 Linz Austria

ISBN: (纸本)1424400546

A Genetic Programming based approach for solving classification problems is presented in this paper. Classification is understood as the act of placing an object into a set of categories, based on the object's properties;classification algorithms are designed to learn a function which maps a vector of object features into one of several classes. This is done by analyzing a set of input-output examples ("training samples") of the function. Here we present a method based on the theory of Genetic Algorithms and Genetic Programming that interprets classification problems as optimization problems: Each presented instance of the classification problem is interpreted as an instance of an optimization problem, and a solution is found by a heuristic optimization algorithm. The major new aspects presented in this paper are suitable genetic operators for this problem class (mainly the creation of new hypotheses by merging already existing ones and their detailed evaluation) we have designed and implemented. The experimental part of the paper documents the results produced using new hybrid variants of genetic algorithms as well as investigated parameter settings. © 2006 IEEE.

关键词： Genetic algorithms

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Helper thread prefetching for loosely-coupled multiprocessor systems 20

Helper thread prefetching for loosely-coupled multiprocessor...

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20th IEEE international parallel and distributed Processing symposium, IPDPS 2006

作者： Jung, Changhee Lim, Daeseob Lee, Jaejin Solihin, Yan Embedded Software Research Division Electronics and Telecommunications Research Institute Yuseong-Gu Daejeon 305-530 Korea Republic of Department of Computer Science and Engineering University of California San Diego 9500 Gilman Drive San Diego CA 92093-0114 United States School of Computer Science and Engineering Seoul National University Seoul 151-744 Korea Republic of Department of Electrical and Computer Engineering North Carolina State University Raleigh NC 27695-7911 United States

ISBN: (纸本)1424400546

This paper presents a helper thread prefetching scheme that is designed to work on loosely-coupled processors, such as in a standard chip multiprocessor (CMP) system or an intelligent memory system. Loosely-coupled processors have an advantage in that fine-grain resources, such as processor and L1cache resources, are not contended by the application and helper threads, hence preserving the speed of the application. However, interprocessor communication is expensive in such a system. We present techniques to alleviate this. Our approach exploits large loop-based code regions and is based on a new synchronization mechanism between the application and helper threads. This mechanism precisely controls how far ahead the execution of the helper thread can be with respect to the application thread. We found that this is important in ensuring prefetching timeliness and avoiding cache pollution. To demonstrate that prefetching in a loosely-coupled system can be done effectively, we evaluate our prefetching in a standard, unmodified CMP system, and in an intelligent memory system where a simple processor in memory executes the helper thread. Evaluating our scheme with nine memory-intensive applications with the memory processor in DRAM achieves an average speedup of 1.25. Moreover, our scheme works well in combination with a conventional processorside sequential L1prefetcher, resulting in an average speedup of 1.31. In a standard CMP, the scheme achieves an average speedup of 1.33. © 2006 IEEE.

关键词： Multiprocessing systems

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software-based fault-tolerant routing algorithm in multidimensional networks 06

Software-based fault-tolerant routing algorithm in multidime...

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international symposium on parallel and distributed Processing (IPDPS)

作者： F. Safaei M. Rezazad A. Khonsari M. Fathy M. Ould-Khaoua N. Alzeidi Department of Computer Engineering Iran University of Science and Technology Tehran Iran IPM School of Computer Science Tehran Iran Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Computing Science University of Glasgow UK

ISBN: (纸本)9781424400546

Massively parallel computing systems are being built with hundreds or thousands of components such as nodes, links, memories, and connectors. The failure of a component in such systems will not only reduce the computational power but also alter the network's topology. The software-based fault-tolerant routing algorithm is a popular routing to achieve fault-tolerance capability in networks. This algorithm is initially proposed only for two dimensional networks (Suh et al., 2000). Since, higher dimensional networks have been widely employed in many contemporary massively parallel systems; this paper proposes an approach to extend this routing scheme to these indispensable higher dimensional networks. Deadlock and livelock freedom and the performance of presented algorithm, have been investigated for networks with different dimensionality and various fault regions. Furthermore, performance results have been presented through simulation experiments

关键词： Fault tolerance Routing Intelligent networks Power engineering computing Concurrent computing Connectors Network topology Computational modeling Computer science parallel processing

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An entropy-based algorithm for time-driven software instrumentation in parallel systems

An entropy-based algorithm for time-driven software instrume...

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international symposium on parallel and distributed Processing (IPDPS)

作者： A. Ozmen Department of Electrical and Electronics Engineering Dumlupìnar University Kutahya Turkey

While monitoring, instrumented long running parallel applications generate huge amount of instrumentation data. Processing and storing this data incurs overhead, and perturbs the execution. Techniques that eliminates unnecessary instrumentation data and lower the intrusion without loosing any performance information is valuable to tool developers. This paper presents a new algorithm for software instrumentation to measure the amount of information content of instrumentation data to be collected. The algorithm is based on entropy concept introduced in information theory, and it makes selective data collection for a time-driven software monitoring system possible

关键词： software algorithms Instruments Monitoring software systems software performance Application software Sampling methods Entropy Information theory Runtime

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SMTPS keynote: research and technology advances in systems software for large scale computing systems

SMTPS keynote: research and technology advances in systems s...

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international symposium on parallel and distributed Processing (IPDPS)

作者： F. Darema NSF/CISE Arlington VA USA

Summary form only given. The paper addresses research and technology advances for optimized and dependable execution in large scale computing environments. Applications in nearly all sectors, scientific, engineering, and commercial, are becoming more encompassing in including the behaviors of the systems of the systems they represent, and becoming at the same time more powerful but also more complex. At the same time, driven by application requirements and enabled by hardware technology advances, computational platforms are becoming as well increasingly more powerful but also more complex. Efficient and effective development of applications, optimized use of the computational resources, and guaranteeing quality of service and dependability at all layers of the computational system, requires systems software advances, such as in programming environments, application composition systems, optimized application mapping and dynamic runtime technologies, debugging and check-pointing methods, and performance-engineered hardware and software capabilities at all layers. An overarching consideration, and thesis of this paper, is that these advances need to be made in a synergistic and integrated manner, taking a systems-view in developing these enabling technologies, rather than advancing each of the individual technologies in an isolated manner

关键词： System software Large-scale systems Application software Power engineering computing Hardware Optimization methods Isolation technology Paper technology Power engineering and energy Quality of service

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engineering reliability into hybrid systems via rich design models: recent results and current directions 06

Engineering reliability into hybrid systems via rich design ...

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international symposium on parallel and distributed Processing (IPDPS)

作者： S. Banerjee L. Cheung L. Golubchik N. Medvidovic R. Roshandel G. Sukhatme Computer Science Department University of Southern California Los Angeles CA USA Department of Computer Science & Software Engineering Seattle University Seattle WA USA EE-Systems Department IMSC University of Southern California Los Angeles CA USA

ISBN: (纸本)9781424400546

software reliability techniques are aimed at reducing or eliminating failures in software systems. Reliability in software systems has traditionally been measured during or after system implementation. However, software engineering methodology lays stress on doing the "correct things" early on in the software development lifecycle in order to curb development and maintenance costs. In this paper, we argue that reliability of a software system should be assessed throughout the system's life span, starting with the software architecture level. Our research goal is to estimate the reliability of software systems in early design stages, which we believe involves the ability to reason about numerous uncertainties that exist in this stage, including uncertainty due to lack of execution artifacts. Our proposed approach is to develop techniques that will couple software architectural models with a suite of stochastic reliability estimation models and allow us to reason about these uncertainties. In this paper, we present our recent results using our technique for reliability estimation of software components at the level of software architecture. Another important part of this paper is the discussion of our ongoing research efforts and open research problems in this area

关键词： Reliability engineering Design engineering software systems Uncertainty software architecture software reliability software measurement software engineering Stress Programming

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Enabling efficient and flexible coupling of parallel scientific applications 06

Enabling efficient and flexible coupling of parallel scienti...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Li Zhang M. Parashar The Applied Software Systems Laboratory (TASSL) Rutgers University Piscataway NJ USA

ISBN: (纸本)9781424400546

Emerging scientific and engineering simulations are presenting challenging requirements for coupling between multiple physics models and associated parallel codes that execute independently and in a distributed manner. Realizing coupled simulations requires an efficient, flexible and scalable coupling framework and simple programming abstractions. This paper presents a coupling framework that addresses these requirements. The framework is based on the Seine geometry-based interaction model. It enables efficient computation of communication schedules, supports low-overheads processor-to-processor data streaming, and provides high-level abstraction for application developers. The design, CCA-based implementation, and experimental evaluation of the Seine based coupling framework are presented

关键词： Computational modeling Physics Solid modeling Processor scheduling Nuclear and plasma sciences Plasma simulation Concurrent computing Application software software systems Laboratories

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