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检索条件"任意字段=IEEE International Workshop on Multi-/Many-core Computing Systems"

共 976 条记录，以下是761-770 订阅

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Pattern-based systematic task mapping for many-core processors

Pattern-based systematic task mapping for many-core processo...

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international Conference on Networking and computing

作者： Sano, Shintaro Sano, Masahiro Sato, Shimpei Miyoshi, Takefumi Kise, Kenji Graduate School of Information Science and Engineering Tokyo Institute of Technology Japan Graduate School of Information Systems University of Electro-Communications Japan

ISBN: (纸本)9780769542775

The Network-on-Chip (NoC) is a promising interconnection for many-core processors. On the NoC-based manycore processors, the network performance of multi-thread programs depends on the method of task mapping. In this paper, we propose a pattern-based task mapping method in order to improve the performance of many-core processors. Evaluation of the proposed method using a detailed software simulator reveals an average performance improvement of at least 4.4%, as compared with standard task mapping using NAS parallel benchmarks. © 2010 ieee.

关键词： Network-on-chip

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Parallel implementations of an immune network model using POSIX threads and OpenMP

Parallel implementations of an immune network model using PO...

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22nd international Symposium on Computer Architecture and High Performance computing workshops, SBAC-PADW 2010, 1st workshop on Applications for multi and many core Architectures, WAMMCA 2010

作者： Caldas, Daniel M. De Barros, Bruno G. Lobosco, Marcelo FISIOCOMP: Laboratory of Computational Physiology and High-Performance Computing Universidade Federal de Juiz de Fora DCC/ICE Cidade Universitária CEP: 36036-330 Juiz de Fora MG Brazil

ISBN: (纸本)9780769542768

In the last few years, there has been an increasing interest in the mathematical and computational modeling of the human immune system (HIS). In particular, the use of computational models is fundamental to understand the HIS dynamics. The availability of computational models on which to do experiments and to test new hypothesis would accelerate our understanding of the HIS, allowing us to develop new drugs against many diseases. In this scenario we extended, in a previous work, a computational model of the HIS that represents the behavior of two of its cells, the B and T lymphocytes, in distinct situations. In this paper we present a parallel implementation of the model, developed in order to reduce the computational time needed in the simulations. We also describe the techniques used in the implementation of the parallel model, evaluates its performance, and discuss the initial results that have been obtained. © 2010 ieee.

关键词： Computation theory

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PARALLEL UNMIXING OF HYPERSPECTRAL DATA USING COMPLEXITY PURSUIT 30

PARALLEL UNMIXING OF HYPERSPECTRAL DATA USING COMPLEXITY PUR...

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ieee international Geoscience and Remote Sensing Symposium

作者： Robila, Stefan A. Butler, Martin Montclair State Univ Dept Comp Sci Montclair NJ 07043 USA

ISBN: (纸本)9781424495665

Accurate and fast data unmixing is key to most applications employing hyperspectral data. Among the large number unmixing approaches, Blind Source Separation (BSS) has been employed successfully through a variety of techniques, yet most of these approaches continue to be computationally expensive due to their iterative nature. In this context, it is imperative to seek efficient approaches that leverage the accuracy of the algorithms and the availability of off-the-shelf computationally performant systems such as multi-cpu and multi core. In this paper we tackle the spatial complexity based unmixing, a new technique shown to outperform many BSS solutions. We develop a new parallel algorithm that, without decreasing the accuracy ensures significant computational speedup when compared to the original technique. We provide a theoretical analysis on its equivalency with the algorithm. Furthermore we show through both complexity analysis and experimental results that the algorithm provides a speedup in execution linear to the number of computing cores used.

关键词： Hyperspectral imagery linear unmixing blind source separation complexity pursuit high performance computing

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3rd international workshop on multicore Software Engineering, IWMSE 2010, in Conjunction with the 32nd ACM/ieee international Conference on Software Engineering, ICSE 2010

3rd International Workshop on Multicore Software Engineering...

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3rd international workshop on multicore Software Engineering, IWMSE 2010, in Conjunction with the 32nd ACM/ieee international Conference on Software Engineering, ICSE 2010

ISBN: (纸本)9781605589640

The proceedings contain 11 papers. The topics discussed include: automatic parallelization of programming languages: past, present and future;writing concurrent desktop applications in an actor-based programming model;JCudaMP: OpenMP/Java on CUDA;predicting multi-core performance: a case study using Solaris containers;towards efficient video compression using scalable vector graphics on the cell/B.E.;enabling multi-core based monitoring and fault tolerance in c++/java;concurrency design patterns, software quality attributes and their tactics;IMUnit: improved multithreaded unit testing;you are not alone: breaking transaction isolation;challenges in operating-systems reengineering for many cores;the correlation between parallel patterns and multi-core benchmarks;and dynamic reconfiguration in NoC-Based MPSoCs in the avionics domain.

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Tree projection-based frequent itemset mining on multi-core CPUs and GPUs

Tree projection-based frequent itemset mining on multi-core ...

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22nd international Symposium on Computer Architecture and High Performance computing, SBAC-PAD 2010

作者： George, Teodoro Nathan, Mariano Wagner Jr., Meira Renato, Ferreira Department of Computer Science Universidade Federal de Minas Gerais Brazil

ISBN: (纸本)9780769542164

Frequent itemset mining (FIM) is a core operation for several data mining applications as association rules computation, correlations, document classification, and many others, which has been extensively studied over the last decades. Moreover, databases are becoming increasingly larger, thus requiring a higher computing power to mine them in reasonable time. At the same time, the advances in high performance computing platforms are transforming them into hierarchical parallel environments equipped with multi-core processors and many-core accelerators, such as GPUs. Thus, fully exploiting these systems to perform FIM tasks poses as a challenging and critical problem that we address in this paper. We present efficient multi-core and GPU accelerated parallelizations of the Tree Projection, one of the most competitive FIM algorithms. The experimental results show that our Tree Projection implementation scales almost linearly in a CPU shared-memory environment after careful optimizations, while the GPU versions are up to 173 times faster than standard the CPU version. © 2010 ieee.

关键词： Data mining

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High performance molecular dynamic simulation on single and multi-GPU systems

High performance molecular dynamic simulation on single and ...

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2010 ieee international Symposium on Circuits and systems: Nano-Bio Circuit Fabrics and systems, ISCAS 2010

作者： Villa, Oreste Chen, Long Krishnamoorthy, Sriram High Performance Computing Pacific Northwest National Laboratory Richland WA 99352 United States Department of Electrical and Computer Engineering University of Delaware Newark DE 19716 United States

ISBN: (纸本)9781424453085

The computational power provided by many-core graphics processing units (GPUs) has been exploited in many applications. The programming techniques supported and employed on these GPUs and multi-GPUs systems are not sufficient to address problems exhibiting irregular, and unbalanced workload such as Molecular Dynamic (MD) simulations of systems with non-uniform densities. In this paper, we propose a task-based dynamic load-balancing solution to employ on MD simulations for single- and multi-GPU systems. The solution allows load balancing at a finer granularity than what is supported in existing APIs such as NVIDIA's CUDA. Experimental results with a single-GPU configuration show that our fine-grained task solution can utilize the hardware more efficiently than the CUDA scheduler. On multi-GPU systems, our solution achieves near-linear speedup, load balance, and significant performance improvement over techniques based on standard CUDA APIs. ©2010 ieee.

关键词： Graphics processing unit

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Modeling CPU energy consumption for energy efficient scheduling

Modeling CPU energy consumption for energy efficient schedul...

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1st international workshop on Green computing Middleware 2010, GCM 2010

作者： Jaiantilal, Abhishek Jiang, Yifei Mishra, Shivakant University of Colorado Boulder CO United States

ISBN: (纸本)9781450304504

In the past few years, we have seen the rising popularity of multi-core systems, including the 4, 6, and 8-cores present in i7 processors from Intel, and the 8 and 12 cores present in Magny-Cours processors from AMD. There is a general trend that newer processors have more and more number of cores. A study [6] showed that, in data centers, the CPU load is around 10-50%;thus, when multi-core processors are used in data centers, many of the cores will be unused for a majority of the time. Such a scenario is also true for a casual desktop PC user. As an idle core still consumes energy, from the perspective of saving energy, it is important to ensure that the idle cores are put in the lowest energy state and unnecessary wakeups for these idle cores are avoided. This will ensure the lowest energy consumption for a given set of tasks. The precursor step towards developing an energy efficient CPU scheduler requires an understanding of the relation between the type of tasks and their corresponding power profile. In this paper, we show that the power profile of a task is dependent on the type of processor cycles executed by the task. We further develop a model that can predict the power consumption based on the processor cycles executed by the task. We conclude our paper showing initial results on how such a model can be used to schedule tasks and save energy. Copyright © 2010 ACM.

关键词： Green computing

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SBLOCK: A framework for efficient stencil-based PDE solvers on multi-core platforms

SBLOCK: A framework for efficient stencil-based PDE solvers ...

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10th ieee international Conference on Computer and Information Technology, CIT-2010, 7th ieee international Conference on Embedded Software and systems, ICESS-2010, 10th ieee Int. Conf. Scalable computing and Communications, ScalCom-2010

作者： Brandvik, Tobias Pullan, Graham Department of Engineering Whittle Laboratory University of Cambridge Cambridge United Kingdom

ISBN: (纸本)9780769541082

We present a new software framework for the implementation of applications that use stencil computations on block-structured grids to solve partial differential equations. A key feature of the framework is the extensive use of automatic source code generation which is used to achieve high performance on a range of leading multi-core processors. Results are presented for a simple model stencil running on Intel and AMD CPUs as well as the NVIDIA GT200 GPU. The generality of the framework is demonstrated through the implementation of a complete application consisting of many different stencil computations, taken from the field of computational fluid dynamics. © 2010 ieee.

关键词： Graphics processing unit

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Global observation for distributed autonomic networks

Global observation for distributed autonomic networks

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7th ieee international Conference and workshop on Engineering of Autonomic and Autonomous systems, EASe 2010

作者： Lamb, David Randles, Martin Taleb-Bendiab, A. School of Computing and Mathematical Sciences Liverpool John Moores University United Kingdom

ISBN: (纸本)9780769540047

While much is known regarding software engineering practices for dependable software systems;the extreme scale, complexity and dynamics of modern software has pushed conventional software engineering tools and techniques to their acceptable limits. Consequently, over the last decade, this has accelerated research into non-conventional methods, many of which are inspired by social and/or biological systems models. In addition, existing federated approaches to distributed computation and control, such as multi-Agent-systems fail to satisfactorily address how global control may be enacted upon the whole system and how an individual may take on specified monitoring duties - although methods of interaction between federated individuals is well understood. Hence, this research sets out to study the engineering concerns for observation/monitoring of large-scale networks of autonomic systems. As such, this research examines methods that can be used to manage scale;looks to generalise and formalise them within a software engineering approach that guides the development of an automated adaptive observation subsystem - the Global Observer Model. This approach uses a model-based representation of the observed system, represented by appropriately attached modelled elements;effectively adapters between the underlying system and the observation subsystem. The approach is tested by a case study with further specific applications outlined for ongoing and future development. © 2010 ieee.

关键词： multi agent systems

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Performance and power consumption analysis of DVFS-enabled H.264 decoder on heterogeneous multi-core platform

Performance and power consumption analysis of DVFS-enabled H...

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作者： Tseng, Shau-Yin Lin, Kuo-Hung Wang, Wen-Shan King, Chung-Ta Chang, Shih-Hsueh Information and Communications Research Laboratories Hsinchu 31040 Taiwan Department of Computer Science National Tsing Hua University Industrial Hsinchu 30043 Taiwan

ISBN: (纸本)9780769541082

Power consumption becomes a very important criterion for the portable embedded devices and, therefore, many Dynamic Voltage/Frequency Scaling (DVFS) techniques have been introduced. This paper is trying to break down and analyze the power consumed by three main components, DSP logic, local memory, and the external DDR2, of a multi-core SoC platform. There are four configurations for this SoC platform: one DSP with full and half clock rates and two DSP's with full and half clock rates. The DSP's in the SoC are clone in the hardware architecture and execute the same H.264/AVC decoder software in all scenarios. With this breakdown, we can figure out the key factors for energy saving and further offer some valuable suggestions for the power management and embedded multi-core SoC designs. © 2010 ieee.

关键词： Electric power utilization

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