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The anatomy of a course in cluster and grid computing

The anatomy of a course in cluster and grid computing

引用

ITRE 2005 - 3rd International Conference on Information Technology: Research and Education

作者： Yang, Chao-Tung Li, Kuan-Ching High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung City Taichung 40704 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Shalu Taichung 43301 Taiwan

ISBN: (纸本)0780389328

Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology as its core supporting disciplines. The rise of cluster and grid computing discipline brings to computer science faculty members new opportunities and challenges, both in education and in research. In this paper, we will explore issues in teaching Cluster and Grid computing, the developing of curricula, and thoughts to foster student to work on research projects in Cluster and Grid computing. © 2005 IEEE.

关键词： Education

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Some fast parallel algorithms for parentheses matching 3rd

引用

3rd International Conference on computing and Information, ICCI 1991

作者： Das, Sajal K. Chen, Calvin C.-Y. Lewis, Gene Prasad, Sushil Center for Research in Parallel and Distributed Computing Department of Computer Science University of North Texas P.O. Box 13886 DentonTX76203-3886 United States Department of Mathematics and Computer Science Georgia State University AtlantaGA30303 United States

ISBN: (纸本)9783540540298

The parentheses matching problem is to determine the mate of each parenthesis in a balanced string of n parentheses. In this paper, we present three novel and elegant parallel algorithms for this problem on parallel random-access machine (PRAM) models. Each of our algorithms has polylog-time complexity and two of them are cost-optimal. © Springer-Verlag Berlin Heidelberg 1991.

关键词： parallel algorithms

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A framework for executing parallel simulation using RTI 03

A framework for executing parallel simulation using RTI

引用

International Workshop/Symposium on distributed Simulation and Real-Time Applications (DS-RT)

作者： Zijing Yuan Wentong Cai M.Y.H. Low Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore Singapore Institute of Manufacturing Technology Singapore

ISBN: (纸本)9780769520360

The grid enables large-scale resource sharing and makes it viable for running large-scale parallel and distributed simulations. The high level architecture (HLA) paradigm provides a software platform and interoperability interface for simulation components to utilize these hardware resources. However, neither the grid nor the HLA provides mechanism for resource management for parallel and distributed simulations. It is also noticed that substantial effort is required for writing program that conforms to the runtime infrastructure (RTI) requirements because of its complexity. In this paper, we introduce a framework for designing and executing parallel simulation using the RTI. The framework is also designed to assist load balancing and checkpointing. With the code library from our framework, the modeler is able to complete the design of a parallel simulation that runs on RTI by specifying the simulation configuration and the handling detail of each event. Our framework incorporates automatic code generation. It also uses data distribution management (DDM) to route simulation events (interactions) to achieve efficient use of network bandwidth.

关键词： Discrete event simulation Large-scale systems Resource management Computer architecture Hardware Writing Runtime Load management Checkpointing Libraries

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An algorithm based error detection scheme for the multigrid algorithm

An algorithm based error detection scheme for the multigrid ...

引用

International Symposium on Fault-Tolerant computing (FTCS)

作者： A. Mishra P. Banerjee Broadband Switching Concept Center Lucent Technologies Bell Laboratories Naperville IL USA Center for Parallel and Distributed Computing Evanston IL USA

In this paper an Algorithm Based Error Detection (ABED) scheme is applied to the multigrid algorithm which provides an iterative solution to a system of linear algebraic equations resulting from a finite difference discretization of a Poisson equation. Invariants are created to implement checking in the relaxation, restriction and interpolation operators. Modifications to invariants due to roundoff errors accumulated within the operators which often lead to a situation known as false alarms have been addressed by deriving the expressions for the roundoff errors in the algebraic processes in the operators and correcting the invariants accordingly. ABED encoded multigrid algorithm is shown to be insensitive to the size and the range of the input data, besides providing excellent error coverage at a low latency for floating point integer and memory errors.

关键词： Iterative algorithms Roundoff errors Poisson equations Error analysis Laplace equations Difference equations Finite difference methods Interpolation Fault tolerance

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Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics

Towards Understanding Optimal Load-Balancing of Heterogeneou...

引用

IEEE International Conference on High Performance computing Workshops (HiPCW)

作者： Steffen Hirschmann Dirk Pflüger Colin W. Glass Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany High Performance Computing Center Stuttgart University of Stuttgart Stuttgart Germany

ISBN: (纸本)9781509057740

For heterogeneous dynamic short-range molecular dynamics simulations it is critical to employ suitable load-balancing methods to minimize the time to solution. However, designing and parametrizing the optimal load-balancing method is a complex task, depending on detailed properties of the simulation *** main challenge in balancing the load of molecular dynamics simulations is the extreme difference in load density for scenarios with heterogeneous particle density, which can easily reach 4-6 orders of magnitude. Therefore, heterogeneity is deemed to be a relevant property and a suitable metric to reliably quantifying heterogeneity is formulated. This metric, which is based on binning particles and evaluating statistical moments, is then applied to example scenarios and correlated to the performance of five load balancing methodologies. Furthermore, how rapidly the load varies over time will determine how long the benefits of a specific partitioning are expected to last. We deem this to be another relevant property, the dynamics, and introduce corresponding metrics. The results indicate that these metric are useful to differentiate between scenarios and facilitate reasoning over the complex relationship between particle simulation scenarios and optimal load balancing methods. This work is a first step towards understanding this relationship, while introducing key concepts we regard as a crucial for this understanding.

关键词： Load modeling Computational modeling Measurement Dynamics Force Partitioning algorithms Load management

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An efficient parallel loop self-scheduling on grid environments

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IFIP International Conference on Network and parallel computing, NPC 2004

作者： Yang, Chao-Tung Cheng, Kuan-Wei Li, Kuan-Ching High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung407 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Shalu Taichung433 Taiwan

ISBN: (纸本)3540233881

The approaches to deal with scheduling and load balancing on PC-based cluster systems are famous and well-known. Self-scheduling schemes, which are suitable for parallel loops with independent iterations on cluster computer system, they have been designed in the past. In this paper, we propose a new scheme that can adjust the scheduling parameter dynamically on an extremely heterogeneous PC-based cluster and grid computing environments in order to improve system performance. A grid computing environment consists of multiple PC-based clusters is constructed using Globus Toolkit and SUN Grid Engine middleware. The experimental results show that our scheduling can result in higher performance than other similar schemes. © IFIP International Federation for Information Processing 2004.

关键词： Scheduling

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A comparison of parallel approaches for algebraic factorization in logic synthesis

A comparison of parallel approaches for algebraic factorizat...

引用

International Symposium on parallel Processing

作者： S. Roy P. Banerjee Coordinated Science Laboratory University of Illinois Urbana IL USA Center for Parallel & Distributed Computing Northwestern University Evanston IL USA

Algebraic factorization is an extremely important part of any logic synthesis system, but it is computationally expensive. Hence, it is important to look at parallel processing to speed up the procedure. This paper presents three different parallel algorithms for algebraic factorization. The first algorithm uses circuit replication and uses a divide-and-conquer strategy. A second algorithm uses totally independent factorization on different circuit partitions with no interactions among the partitions. A third algorithm represents a compromise between the two approaches. It uses a novel L-shaped partitioning strategy which provides some interaction among the rectangles obtained in various partitions. For a large circuit like ex1010, the last algorithm runs 11.5 times faster over the sequential kernel extraction algorithms of the SIS sequential circuit synthesis system on six processors with less than 0.2% degradation in quality of the results.

关键词： Logic functions Circuit synthesis Partitioning algorithms Network synthesis Contracts parallel processing Laser sintering Degradation Logic design Sequential circuits

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An L-shaped partitioning-based algebraic factorization algorithm

An L-shaped partitioning-based algebraic factorization algor...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： S. Roy P. Banerjee Coordinated Science Laboratory University of Illinois Urbana IL USA Center for Parallel and Distributed Computing Northwestern University Evanston IL USA

Algebraic factorization is an extremely important part of any logic synthesis system but it is computationally expensive. Hence it is important to speed it up. The paper presents an algorithm to speedup the factorization by partitioning the circuit and performing factorizations on the sub-circuits. The approach clusters the entries of the co-kernel cube matrix into dense blocks using a novel L-shaped partitioning and searches these blocks for kernels. The L-shaped approach runs up to five times faster than the kernel extraction routine in SIS.

关键词： Partitioning algorithms Kernel Circuit synthesis distributed computing Network synthesis Contracts Logic functions Concurrent computing Clustering algorithms Logic design

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An efficient uniform run-time scheme for mixed regular-irregular applications 98

An efficient uniform run-time scheme for mixed regular-irreg...

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Proceedings of the 12th international conference on Supercomputing

作者： Dhruva R. Chakrabarti Nagaraj Shenoy Alok Choudhary Prithviraj Banerjee Center for Parallel and Distributed Computing ECE Dept. Tech. Institute Northwestern University 2145 Sheridan Road Evanston IL

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A parallel circuit-partitioned algorithm for timing driven cell placement

A parallel circuit-partitioned algorithm for timing driven c...

引用

IEEE International Conference on Computer Design: VLSI in Computers and Processors, (ICCD)

作者： J.A. Chandy P. Banerjee Sierra Vista Research Inc. Los Gatos CA USA Center for Parallel and Distributed Computing Northwestern University Evanston IL USA

Simulated annealing based standard cell placement for VLSI designs has long been acknowledged as a compute-intensive process. All previous work in parallel simulated annealing based placement has minimized area, but with deep submicron design, minimizing wirelength delay is also needed. The algorithm discussed in this paper is the first parallel algorithm for timing driven placement. We have used a very accurate Elmore delay model which is more complete intensive and hence the need for parallel placement is more apparent. parallel placement is also needed for very large circuits that may not fit in the memory of a single processor. Therefore, our algorithm is circuit partitioned and can handle arbitrary large circuits on distributed memory multiprocessors. The algorithm, called mpi PLACE, has been tested on several large benchmarks on a variety of parallel architectures.

关键词： Timing Computational modeling Circuit simulation Simulated annealing Delay Partitioning algorithms Very large scale integration parallel algorithms Circuit testing Benchmark testing

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