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8th workshop on Workflows in Support of Large-Scale Science, WORKS 2013

作者： Gesing, Sandra Atkinson, Malcolm Klampanos, Iraklis Galea, Michelle Berthold, Michael R. Barbera, Roberto Scardaci, Diego Terstyanszky, Gabor Kiss, Tamas Kacsuk, Peter University of Notre Dame Ctr for Research Computing University of Edinburgh Informatics Forum 111 Information Technology Center Notre DameIN46556 United States University of Edinburgh Informatics Forum EdinburghEH8 9AB United Kingdom Universität Konstanz FB Informatik and Informationswissenschaft Box 712 Konstanz78457 Germany Italian National Institute of Nuclear Physics Catania95123 Italy University of Westminster 115 New Cavendish Street LondonW1W 6UW United Kingdom Laboratory of Parallel and Distributed Systems MTA SZTAKI Kende Street 13-17 Budapest1111 Hungary

ISBN: (纸本)9781450325028

This paper identifies the high value to researchers in many disciplines of having web-based graphical editors for scientific workflows and draws attention to two technological transitions: good quality editors can now run in a browser and workflow enactment systems are emerging that manage multiple workflow languages and support multi-lingual workflows. We contend that this provides a unique opportunity to introduce multi-lingual graphical workflow editors which in turn would yield substantial benefits: workflow users would find it easier to share and combine methods encoded in multiple workflow languages, the common framework would stimulate conceptual convergence and increased workflow component sharing, and the many workflow communities could share a substantial part of the effort of delivering good quality graphical workflow editors in browsers. The paper examines whether such a common framework is feasible and presents an initial design for a web-based editor, tested with a preliminary prototype. It is not a fait accompli but rather an urgent rallying cry to explore collaboratively a generic web-based framework before investing in many divergent individual implementations.

关键词： Interoperability

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8th workshop on Challenges for parallel Computing 13

8th Workshop on Challenges for Parallel Computing

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proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research

作者： Priya Unnikrishnan Kit Barton Jeremy Bradbury Reza Azimi IBM Canada Software Lab University of Ontario Institute of Technology

Over the last decade, interest in parallel programming has grown tremendously. Hardware systems that contain many different levels of parallelism have become mainstream. At one end of the spectrum, computer system that contain many processing cores, each capable of running multiple hardware threads, are becoming commonplace. It is common to find laptop and desktop systems that contain a small number of these Shared-Memory Processor (SMP) chips. Furthermore, high-end computing systems can now contain hundreds of these SMP chips, resulting in machines capable of running an incredibly large number of hardware threads simultaneously. As processor speeds begin to stagnate, software developers are being forced to exploit the parallelism that is available in these systems in order to improve the performance of their *** the other end of the spectrum, as commodity hardware prices fall it is becoming increasingly affordable to build large-scale multi-node distributed machines. A survey of the top 10 supercomputers in the world (***) shows that the systems contain an average of about 400,000 cores running at an average frequency of 2.5GHz. Since the average clock frequency of these machines is fairly low, the full potential of these systems must be exploited through efficient use of the parallelism provided by the thousands of processors they *** types of heterogeneous parallel computing system have begun to emerge. These systems contain multiple types of processors - typically a powerful CPU core and some type of Graphics Processing Unit (GPU) or hardware accelerator unit. This type of heterogeneous system provides a new set of challenges for software developers in terms of how to distribute work among the different units to maximize their utilization, based on their capabilities. Many advances in heterogeneous system design are still being realized as people continue to explore how to combine existing hardware in new and novel ways. Others sti

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Accelerating Volkov's Hybrid Implementation of Cholesky Factorization on a Fermi GPU

Accelerating Volkov's Hybrid Implementation of Cholesky Fact...

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ieee 18th International Conference on parallel and distributed systems (ICPADS)

作者： Wei, Shih-Chieh Huang, Bormin Univ Wisconsin Space Sci & Engn Ctr Madison WI 53706 USA Tamkang Univ Dept Informat Management Tamsui 25137 Taiwan

ISBN: (纸本)9781467345651;9780769549033

In linear algebra, Cholesky factorization is useful in solving a system of equations with a symmetric positive definite coefficient matrix. Cholesky factorization is roughly twice as fast relative to LU factorization which applies to general matrices. In recent years, with advances in technology, a Fermi GPU card can accommodate hundreds of cores compared to the small number of 8 or 16 cores on CPU. Therefore a trend is seen to use the graphics card as a general purpose graphics processing unit (GPGPU) for parallel computation. In this work, Volkov's hybrid implementation of Cholesky factorization is evaluated on the new Fermi GPU with others and then some improvement strategies were proposed. After experiments, compared to the CPU version using Intel Math Kernel Library (MKL), our proposed GPU improvement strategy can achieve a speedup of 3.85x on Cholesky factorization of a square matrix of dimension 10,000.

关键词： Cholesky factorization general purpose graphics processing unit parallel computing

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A Source-aware Interrupt Scheduling for Modern parallel I/O systems

A Source-aware Interrupt Scheduling for Modern Parallel I/O ...

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26th ieee International parallel and distributed Processing Symposium (IPDPS) / workshop on High Performance Data Intensive Computing

作者： Zou, Hongbo Sun, Xian-He Ma, Siyuan Duan, Xi IIT Dept Comp Sci Chicago IL 60616 USA

ISBN: (纸本)9780769546759

Recent technological advances are putting increased pressure on CPU scheduling. On one hand, processors have more cores. On the other hand, I/O systems have become more complex. Intensive research has been conducted on multi/many-core scheduling;however, most of the studies follow the conventional approach and focus on the utilization and load balance of the cores. In this study, we focus on increasing data locality by bringing source information from I/O into the core interrupt scheduling process. The premise is to group interrupts associated for the same I/O request together on the same core, and prove that data locality is more important than core utilization for many applications. Based on this idea, a source-aware affinity interrupt-scheduling scheme is introduced and a prototype system, SAIs, is implemented. Experiment results show that SAIs is feasible and promising;bandwidth shows a 23.57% improvement in a 3-Gigabit NIC environment and in the optimal case without the NIC bottleneck, the bandwidth improvement increases to 53.23%.

关键词： interrupt scheduling Source-aware parallel I/O

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Query optimization and execution in a parallel analytics DBMS

Query optimization and execution in a parallel analytics DBM...

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26th ieee International parallel and distributed Processing Symposium (IPDPS) / workshop on High Performance Data Intensive Computing

作者： Eavis, Todd Taleb, Ahmad Concordia Univ Dept Comp Sci Montreal PQ H3G 1M8 Canada Najran Univ Dept Comp Sci Najran Saudi Arabia

ISBN: (纸本)9780769546759

Over the past 15 years, data warehousing and OLAP technologies have matured to the point whereby they have become a cornerstone for the decision making process in organizations of all sizes. With the underlying databases growing enormously in size, parallel DBM systems have become a popular target platform. Perhaps the most "obvious" approach to scalable warehousing is to combine a small collection of conventional relational DBMSs into a loosely connected parallel DBMS. Such systems, however, benefit little, if at all, from advances in OLAP indexing, storage, compression, modeling, or query optimization. In the current paper, we discuss a parallel analytics server that has been designed from the ground up as a high performance OLAP query engine. Moreover, its indexing and query processing model directly exploits an OLAP-specific algebra that enables performance optimizations beyond the reach of simple relational DBMS clusters. Taken together, the server provides class-leading query performance with the scalability of shared nothing databases and, perhaps most importantly, achieves this balance with a modest physical architecture.

关键词： Data warehouses parallel processing Query processing

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proceedings - 2012 ACM/ieee/SCS 26th workshop on Principles of Advanced and distributed Simulation, PADS 2012

Proceedings - 2012 ACM/IEEE/SCS 26th Workshop on Principles ...

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2012 ACM/ieee/SCS 26th workshop on Principles of Advanced and distributed Simulation, PADS 2012

ISBN: (纸本)9780769547145

The proceedings contain 40 papers. The topics discussed include: fair and efficient dead reckoning-based update dissemination for distributed virtual environments;multi-level parallelism for time- and cost-efficient parallel discrete event simulation on GPUs;dynamically adjusting core frequencies to accelerate time warp simulations in many-core processors;HLA-based parallel simulation: a case study;cloud-based simulation: the state-of-the-art computer simulation paradigm;vector time management based on topology information for HLA/RTI;a simplified belonging tree for optimizing information transmission on large-scale distributed simulations;performance analysis of a multithreaded PDEs simulator on multicore clusters;enhancement of collaborative interest management mechanism for P2P networked virtual environment;parallel simulation of large-scale artificial society on CPU/GPU mixed architecture;and SEMSim: a distributed architecture for multi-scale traffic simulation.

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Convergence of distributed Clouds, Grids and their Management-CDCGM2012

Convergence of Distributed Clouds, Grids and their Managemen...

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21st ieee International workshop on Enabling Technologies - Infrastructure for Collaborative Enterprises (WETICE)

作者： Mikkilineni, Rao Morana, Giovanni Kawa Objects Inc Los Altos CA 94022 USA Univ Catania DIEEI I-95124 Catania Italy

ISBN: (纸本)9780769547176

We restate the objective of the first workshop on Collaboration and Cloud Computing" in WETICE 2009;"to analyze current trends in Cloud Computing and identify long-term research themes and facilitate collaboration in future research in the field that will ultimately enable global advancements in the field that are not dictated or driven by the prototypical short term profit driven motives of a particular corporate entity." We are glad to report that the discussions started in 2009 have directly resulted in an alternative approach to self-managing distributed computing systems totally different from current industry trend showing a way to eliminate the complexity of virtual machines and Hypervisors. If this approach is proven to be theoretically sound (as a paper in this conference is investigating) and extend its usefulness (demonstrated through their feasibility in the form of two proofs of concepts in the last conference) to mission critical environments, the DIME network architecture may yet prove to be an important contribution to computer science. In addition to the two papers related to the DIME computing model, there are nine other long papers and two short papers selected out of twenty two submissions discussing various aspects of clouds, grids and their management.

关键词： component Cloud Computing grid computing distributed Intelligent Managed Element Networks distributed Services Management Services Virtualization parallel Computing Many-core Servers

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Energy efficiency in large-scale distributed systems

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FUTURE GENERATION COMPUTER systems-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE 2012年第5期28卷 743-744页

作者： Tuan Anh Trinh Hlavacs, Helmut Talia, Domenico Budapest Univ Technol & Econ Network Econ Grp H-1117 Budapest Hungary IBM Corp Armonk NY USA Univ Vienna Inst Distributed & Multimedia Comp A-1010 Vienna Austria Univ Vienna Res Grp Entertainment Comp Fac Comp Sci A-1010 Vienna Austria Univ Calabria Fac Engn I-87030 Commenda Di Rende Italy Italian Natl Res Council ICAR CNR Inst High Performance Comp & Networks Rome Italy

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Multi-level parallelism for time- and cost-efficient parallel discrete event simulation on GPUs 12

Multi-level parallelism for time- and cost-efficient paralle...

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2012 ACM/ieee/SCS 26th workshop on Principles of Advanced and distributed Simulation, PADS 2012

作者： Kunz, Georg Schemmel, Daniel Gross, James Wehrle, Klaus Communication and Distributed Systems Germany Mobile Network Performance Group RWTH Aachen University Germany

ISBN: (纸本)9780769547145

Developing complex technical systems requires a systematic exploration of the given design space in order to identify optimal system configurations. However, studying the effects and interactions of even a small number of system parameters often requires an extensive number of simulation runs. This in turn results in excessive runtime demands which severely hamper thorough design space explorations. In this paper, we present a parallel discrete event simulation scheme that enables cost- and time-efficient execution of large scale parameter studies on GPUs. In order to efficiently accommodate the stream-processing paradigm of GPUs, our parallelization scheme exploits two orthogonal levels of parallelism: External parallelism among the inherently independent simulations of a parameter study and internal parallelism among independent events within each individual simulation of a parameter study. Specifically, we design an event aggregation strategy based on external parallelism that generates workloads suitable for GPUs. In addition, we define a pipelined event execution mechanism based on internal parallelism to hide the transfer latencies between host- and GPU-memory. We analyze the performance characteristics of our parallelization scheme by means of a prototype implementation and show a 25-fold performance improvement over purely CPU-based execution. © 2012 ieee.

关键词： Graphics processing unit

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2012 ieee 13th International workshop on Signal Processing advances in Wireless Communications, SPAWC 2012

2012 IEEE 13th International Workshop on Signal Processing A...

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2012 ieee 13th International workshop on Signal Processing advances in Wireless Communications, SPAWC 2012

ISBN: (纸本)9781467309714

The proceedings contain 119 papers. The topics discussed include: efficient computation of the Pareto boundary for the two-user single-stream MIMO interference channel;does non-orthogonal spectrum sharing in the same cell improve the sum-rate of wireless operators?;feedback-efficient agile scheduling-beamforming for network MIMO OFDMA systems with realistic channel models;multi-cell coordination: a stochastic geometry approach;robust detection and optimization with decentralized parallel sensor networks;mapping optimization for the map turbo-detector with channel estimation;rate prediction and receding horizon power minimization in block-fading broadcast channels;supermodular game for energy efficient TOA-based positioning;a Chernoff convexification for chance constrained MIMO training sequence design;and flexible codebook design for limited feedback downlink systems via smooth optimization on the Grassmannian manifold.

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