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  • 1
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    Using Multithreading for the Automatic Load Balancing of 2D Adaptive Finite Element Meshes (1998)
    In:  Other Sources
    Details
    Publication Date: 2019-07-18
    Description: In this paper, we present a multi-threaded approach for the automatic load balancing of adaptive finite element (FE) meshes. The platform of our choice is the EARTH multi-threaded system which offers sufficient capabilities to tackle this problem. We implement the question phase of FE applications on triangular meshes, and exploit the EARTH token mechanism to automatically balance the resulting irregular and highly nonuniform workload. We discuss the results of our experiments on EARTH-SP2, an implementation of EARTH on the IBM SP2, with different load balancing strategies that are built into the runtime system.
    Keywords: Numerical Analysis
    Type: 5th International Symposium on Solving Irregularly Structured Problems in Parallel; Aug 09, 1998 - Aug 11, 1998; Berkley, CA; United States
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  • 2
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    PLUM: Parallel Load Balancing for Adaptive Unstructured Meshes (1998)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbalance among processors on a parallel machine. We present a novel method called PLUM to dynamically balance the processor workloads with a global view. This paper presents the implementation and integration of all major components within our dynamic load balancing strategy for adaptive grid calculations. Mesh adaption, repartitioning, processor assignment, and remapping are critical components of the framework that must be accomplished rapidly and efficiently so as not to cause a significant overhead to the numerical simulation. A data redistribution model is also presented that predicts the remapping cost on the SP2. This model is required to determine whether the gain from a balanced workload distribution offsets the cost of data movement. Results presented in this paper demonstrate that PLUM is an effective dynamic load balancing strategy which remains viable on a large number of processors.
    Keywords: Numerical Analysis
    Type: SIAM Annual Meeting; Jul 13, 1998 - Jul 17, 1998; Toronto; Canada
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  • 3
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    Quantum Approximate Optimization with Hard and Soft Constraints (2017)
    In:  CASI
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    Publication Date: 2019-08-21
    Description: Challenging computational problems arising in the practical world are frequently tackled by heuristic algorithms. Small universal quantum computers will emerge in the next year or two, enabling a substantial broadening of the types of quantum heuristics that can be investigated beyond quantum annealing. The immediate question is What experiments should we prioritize that will give us insight into quantum heuristics? One leading candidate is the quantum approximate optimization algorithm (QAOA) metaheuristic. Here, we provide a framework for designing QAOA circuits for a variety of combinatorial optimization problems with both hard constraints that must be met and soft constraints whose violation we wish to minimize. We work through a number of examples, and discuss design principles and implementation considerations.
    Keywords: Numerical Analysis
    Type: ARC-E-DAA-TN44581 , International Workshop on Post Moore's Era Supercomputing; Nov 13, 2017; Denver, CO; United States
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  • 4
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    Dynamic Load Balancing for Adaptive Meshes using Symmetric Broadcast Networks (1998)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Many scientific applications involve grids that lack a uniform underlying structure. These applications are often dynamic in the sense that the grid structure significantly changes between successive phases of execution. In parallel computing environments, mesh adaptation of grids through selective refinement/coarsening has proven to be an effective approach. However, achieving load balance while minimizing inter-processor communication and redistribution costs is a difficult problem. Traditional dynamic load balancers are mostly inadequate because they lack a global view across processors. In this paper, we compare a novel load balancer that utilizes symmetric broadcast networks (SBN) to a successful global load balancing environment (PLUM) created to handle adaptive unstructured applications. Our experimental results on the IBM SP2 demonstrate that performance of the proposed SBN load balancer is comparable to results achieved under PLUM.
    Keywords: Communications and Radar
    Type: 12th ACM International Conference on Supercomputing; Jul 13, 1998 - Jul 17, 1998; Melbourne; Australia
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  • 5
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    Adaptive Load-Balancing Algorithms Using Symmetric Broadcast Networks (1997)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: In a distributed-computing environment, it is important to ensure that the processor workloads are adequately balanced. Among numerous load-balancing algorithms, a unique approach due to Dam and Prasad defines a symmetric broadcast network (SBN) that provides a robust communication pattern among the processors in a topology-independent manner. In this paper, we propose and analyze three novel SBN-based load-balancing algorithms, and implement them on an SP2. A thorough experimental study with Poisson-distributed synthetic loads demonstrates that these algorithms are very effective in balancing system load while minimizing processor idle time. They also compare favorably with several other existing load-balancing techniques. Additional experiments performed with real data demonstrate that the SBN approach is effective in adaptive computational science and engineering applications where dynamic load balancing is extremely crucial.
    Keywords: Numerical Analysis
    Type: NAS-97-014
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  • 6
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    Adaptive Load-Balancing Algorithms using Symmetric Broadcast Networks (2002)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: In a distributed computing environment, it is important to ensure that the processor workloads are adequately balanced, Among numerous load-balancing algorithms, a unique approach due to Das and Prasad defines a symmetric broadcast network (SBN) that provides a robust communication pattern among the processors in a topology-independent manner. In this paper, we propose and analyze three efficient SBN-based dynamic load-balancing algorithms, and implement them on an SGI Origin2000. A thorough experimental study with Poisson distributed synthetic loads demonstrates that our algorithms are effective in balancing system load. By optimizing completion time and idle time, the proposed algorithms are shown to compare favorably with several existing approaches.
    Keywords: Numerical Analysis
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