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Implementation and performance evaluation of XcalableMP: A parallel programming language for distributed memory systems

Implementation and performance evaluation of XcalableMP: A p...

引用

international workshop on scheduling and resource management for parallel and distributed systems

作者： Lee, Jinpil Sato, Mitsuhisa Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan Center for Computational Sciences University of Tsukuba Tsukuba Japan

ISBN: (纸本)9780769541570

Although MPI is a de-facto standard for parallel programming on distributed memory systems, writing MPI programs is often a time-consuming and complicated process. XcalableMP is a language extension of C and Fortran for parallel programming on distributed memory systems that helps users to reduce those programming efforts. XcalableMP provides two programming models. The first one is the global view model, which supports typical parallelization based on the data and task parallel paradigm, and enables parallelizing the original sequential code using minimal modification with simple, OpenMP-like directives. The other one is the local view model, which allows using CAF-like expressions to describe internode communication. Users can even use MPI and OpenMP explicitly in our language to optimize performance explicitly. In this paper, we introduce XcalableMP, the implementation of the compiler, and the performance evaluation result. For the performance evaluation, we parallelized HPCC Benchmark in XcalableMP. It shows that users can describe the parallelization for distributed memory system with a small modification to the original sequential code. © 2010 IEEE.

关键词： parallel programming

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parallel job scheduling policies to improve fairness: A case study

Parallel job scheduling policies to improve fairness: A case...

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international workshop on scheduling and resource management for parallel and distributed systems

作者： Leung, Vitus J. Sabin, Gerald Sadayappan, P. Sandia National Laboratories Albuquerque NM United States RNET Technologies Inc. Dayton OH United States Ohio State University Columbus OH United States

ISBN: (纸本)9780769541570

Balancing fairness, user performance, and system performance is a critical concern when developing and installing parallel schedulers. Sandia uses a customized scheduler to manage many of their parallel machines. A primary function of the scheduler is to ensure that the machines have good utilization and that users are treated in a "fair" manner. A separate compute process allocator (CPA) ensures that the jobs on the machines are not too fragmented in order to maximize throughput. Until recently, there has been no established technique to measure the fairness of parallel job schedulers. This paper introduces a "hybrid" fairness metric that is similar to recently proposed metrics. The metric uses the Sandia version of a "fairshare" queuing priority as the basis for fairness. The hybrid fairness metric is used to evaluate a Sandia workload. Using these results, multiple scheduling strategies are introduced to improve performance while satisfying user and system constraints. © 2010 IEEE.

关键词： scheduling

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Memory-aware green scheduling on multi-core processors

Memory-aware green scheduling on multi-core processors

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international workshop on scheduling and resource management for parallel and distributed systems

作者： Pinel, Frederic Pecero, Johnatan E. Bouvry, Pascal Khan, Samee U. CSC Research Unit University of Luxembourg L-1417 Luxembourg Luxembourg NDSU-CIIT GCC Laboratory North Dakota State University Fargo ND 58108-6050 United States

ISBN: (纸本)9780769541570

Contention on shared resources such as cache and main memory slows down the execution of the applications affecting not only application performance but also induces inefficient use of energy. Therefore, in this paper we deal with the contention problem and energy optimization on shared resources multicore-based machines. Our main contribution is a memory-aware resource allocation algorithm that minimize energy consumption by reducing contention conflicts and maximizing performance. We design a heuristic that includes in its objective function the impact of the contention on the application performance. Experimental results emphasize the interest of the provided solution. © 2010 IEEE.

关键词： Energy utilization

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Jedule: A tool for visualizing schedules of parallel applications

Jedule: A tool for visualizing schedules of parallel applica...

引用

international workshop on scheduling and resource management for parallel and distributed systems

作者： Hunold, Sascha Hoffmann, Ralf Suter, Frédéric International Computer Science Institute Berkeley CA United States Department of Computer Science University of Bayreuth Germany IN2P3 Computing Center CNRS/IN2P3 Lyon-Villeurbanne France

ISBN: (纸本)9780769541570

Task scheduling is one of the most prominent problems in the era of parallel computing. We find scheduling algorithms in every domain of computer science, e.g., mapping multiprocessor tasks to clusters, mapping jobs to grid resources, or mapping fine-grained tasks to cores of multicore processors. Many tools exist that help understand or debug an application by presenting visual representations of a certain program run, e.g., visualizations of MPI traces. However, often developers want to get a global and abstract view of their schedules first. In this paper we introduce Jedule, a tool dedicated to visualize schedules of parallel applications. We demonstrate the effectiveness of Jedule by showing how it helped analyzing problems in several case studies. © 2010 IEEE.

关键词： Mapping

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Applying P2P strategies to scheduling in decentralized Grid computing infrastructures

Applying P2P strategies to scheduling in decentralized Grid ...

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international workshop on scheduling and resource management for parallel and distributed systems

作者： Grimme, Christian Lepping, Joachim Picon, Jonathan Moreno Papaspyrou, Alexander Robotics Research Institute Section Information Technology TU Dortmund University Otto-Hahn-Strasse 8 44227 Dortmund Germany

ISBN: (纸本)9780769541570

In this paper, we propose a new algorithm for job interchange in Computational Grids that consist of autonomous and equitable HPC sites, called Shaking-G. Originally developed for balancing the sharing of video files in P2P networks, we conceptually transfer and adapt the algorithm to the domain of job scheduling in Grids, building an integrated, load-adaptive two-tier job exchange strategy. We evaluate the performance of Shaking-G with real workload data in different experimental scenarios and show that it outperforms traditional non-Grid aware algorithms in setups without job interchange, fostering the benefits of collaboration between large HPC centers. © 2010 IEEE.

关键词： Grid computing

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A parallel skeleton library for embedded multicores

A parallel skeleton library for embedded multicores

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international workshop on scheduling and resource management for parallel and distributed systems

作者： Liu, Xin Zhou, Jingyu Zhang, Daqiang Shen, Yao Guo, Minyi Department of Computer Science MOE-MS Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9780769541570

Many SoCs adopt multicore architectures. As a result, embedded programmers are also facing the challenge of parallel programming. We propose a parallel skeleton library that can be used on embedded multicores. Our library is implemented in standard C++ using template features. We propose two parallel skeletons to support common program patterns on multicores. In our skeleton library, programmers can easily choose underlying parallel implementations with no code changes. Experimental results show that many applications can take advantage of these two skeletons for performance improvement, sometimes better than hand-parallelized code. © 2010 IEEE.

关键词： C++ (programming language)

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Message driven programming with S-NET: Methodology and performance

Message driven programming with S-NET: Methodology and perfo...

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international workshop on scheduling and resource management for parallel and distributed systems

作者： Penczek, Frank Herhut, Stephan Scholz, Sven-Bodo Shafarenko, Alex Yang, Jung Sook Chen, Chun-Yi Bagherzadeh, Nader Grelck, Clemens University of Hertfordshire United Kingdom University of California Irvine United States University of Amsterdam Netherlands

ISBN: (纸本)9780769541570

Development and implementation of the coordination language S-NET has been reported previously. In this paper we apply the S-NET design methodology to a computer graphics problem. We demonstrate (i) how a complete separation of concerns can be achieved between algorithm engineering and concurrency engineering and (ii) that the S-NET implementation is quite capable of achieving performance that matches what can be achieved using low-level tools such as MPI. We find this remarkable as under S-NET communication, concurrency and synchronization are completely separated from algorithmic code. We argue that our approach delivers a flexible component technology which liberates application developers from the logistics of task and data management while at the same time making it unnecessary for a distributed computing professional to acquire detailed knowledge of the application area. © 2010 IEEE.

关键词： Information management

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Versatile Stack management for Multitasking Sensor Networks

Versatile Stack Management for Multitasking Sensor Networks

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international Conference on distributed Computing systems (ICDCS 2010)

作者： Chu, Rui Gu, Lin Liu, Yunhao Li, Mo Lu, Xicheng Natl Univ Def Technol Natl Lab Parallel & Distributed Proc Changsha Hunan Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Hong Kong Peoples R China Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Beijing Peoples R China

ISBN: (纸本)9780769540597

The networked application environment has motivated the development of multitasking operating systems for sensor networks and other low-power electronic devices, but their multitasking capability is severely limited because traditional stack management techniques perform poorly on small-memory systems. In this paper, we show that combining binary translation and a new kernel runtime can lead to efficient OS designs on resource-constrained platforms. We introduce SenSmart, a multitasking OS for sensor networks, and present new OS design techniques for supporting preemptive multi-task scheduling, memory isolation, and versatile stack management. We have implemented SenSmart on MICA2/MICAz motes. Evaluation shows that SenSmart performs efficient binary translation and demonstrates a significantly better capability in managing concurrent tasks than other sensornet operating systems.

关键词： Sensor networks

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Non-intrusive performance analysis of parallel hardware accelerated applications on hybrid architectures

Non-intrusive performance analysis of parallel hardware acce...

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international workshop on scheduling and resource management for parallel and distributed systems

作者： Dietrich, Robert Ilsche, Thomas Juckeland, Guido Technische Universität Dresden Dresden Germany

ISBN: (纸本)9780769541570

New high performance computing (HPC) applications recently have to face scalability over an increasing number of nodes and the programming of special accelerator hardware. Hybrid composition of large computing systems leads to a new dimension in complexity of software development. This paper presents a novel approach to gain insight into accelerator interaction and utilization without any changes to the application. It leverages well established methods for performance analysis to accelerator hardware, allowing a holistic view on performance bottlenecks of hybrid applications. A general strategy is presented to get dynamic runtime information about hybrid program execution with minimal impact on the program flow. The achievable level of detail is exemplarily studied for the CUDA environment and the OpenCL framework. Combined with existing performance analysis techniques this facilitates obtaining the full potential of hybrid computing power. © 2010 IEEE.

关键词： Computing power

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GridP2P: resource usage in grids and Peer-to-Peer systems

GridP2P: Resource usage in grids and Peer-to-Peer systems

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2010 IEEE international Symposium on parallel and distributed Processing, workshops and Phd Forum, IPDPSW 2010

作者： Esteves, Sérgio Veiga, Luís Ferreira, Paulo INESC-ID/IST Distributed Systems Group Rua Alves Redol 9 1000-029 Lisboa Portugal

ISBN: (纸本)9781424465347

The last few years have witnessed huge growth in computer technology and available resources throughout the Internet. These resources can be used to run CPU-intensive applications requiring long periods of processing time. Grid systems allow us to take advantage of available resources lying over a network. However, these systems impose several difficulties to their usage (e.g. heavy authentication and configuration management);in order to overcome them, Peer-to-Peer systems provide open access making the Grid available to any user. Our solution consists of a platform for distributed cycle sharing which attempts to combine Grid and Peer-to-Peer models. A major goal is to allow any ordinary user to use remote idle cycles in order to speedup commodity applications. On the other hand, users can also provide spare cycles of their machines when they are not using them. Our solution encompasses the following functionalities: application management, job creation and scheduling, resource discovery, security policies, and overlay network management. The simple and modular organization of this system allows that components can be changed at minimum cost. In addition, the use of history-based policies provides powerful usage semantics concerning the resource management. © 2010 IEEE.

关键词： Semantics

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