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  • Mathematical and Computer Sciences (General)  (4)
  • 2000-2004  (4)
  • 1960-1964
  • 1
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    Unstructured Adaptive (UA) NAS Parallel Benchmark (2004)
    In:  CASI
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    Publication Date: 2019-07-10
    Description: We present a complete specification of a new benchmark for measuring the performance of modern computer systems when solving scientific problems featuring irregular, dynamic memory accesses. It complements the existing NAS Parallel Benchmark suite. The benchmark involves the solution of a stylized heat transfer problem in a cubic domain, discretized on an adaptively refined, unstructured mesh.
    Keywords: Mathematical and Computer Sciences (General)
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    NASA TECHNICAL REPORTS
  • 2
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    Performance Enhancement Strategies for Multi-Block Overset Grid CFD Applications (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: The overset grid methodology has significantly reduced time-to-solution of highfidelity computational fluid dynamics (CFD) simulations about complex aerospace configurations. The solution process resolves the geometrical complexity of the problem domain by using separately generated but overlapping structured discretization grids that periodically exchange information through interpolation. However, high performance computations of such large-scale realistic applications must be handled efficiently on state-of-the-art parallel supercomputers. This paper analyzes the effects of various performance enhancement strategies on the parallel efficiency of an overset grid Navier-Stokes CFD application running on an SGI Origin2000 machinc. Specifically, the role of asynchronous communication, grid splitting, and grid grouping strategies are presented and discussed. Details of a sophisticated graph partitioning technique for grid grouping are also provided. Results indicate that performance depends critically on the level of latency hiding and the quality of load balancing across the processors.
    Keywords: Mathematical and Computer Sciences (General)
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    NASA TECHNICAL REPORTS
  • 3
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    Job Superscheduler Architecture and Performance in Computational Grid Environments (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major technical hurdles, including distributed resource management and effective job scheduling, stand in the way of realizing these gains. In this paper, we propose a novel grid superscheduler architecture and three distributed job migration algorithms. We also model the critical interaction between the superscheduler and autonomous local schedulers. Extensive performance comparisons with ideal, central, and local schemes using real workloads from leading computational centers are conducted in a simulation environment. Additionally, synthetic workloads are used to perform a detailed sensitivity analysis of our superscheduler. Several key metrics demonstrate that substantial performance gains can be achieved via smart superscheduling in distributed computational grids.
    Keywords: Mathematical and Computer Sciences (General)
    Type: SC2003; Nov 15, 2003 - Nov 21, 2003; Phoenix, AZ; United States
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    NASA TECHNICAL REPORTS
  • 4
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    Job Scheduling in a Heterogeneous Grid Environment (2004)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. However, a number of major technical hurdles must be overcome before this potential can be realized. One problem that is critical to effective utilization of computational grids is the efficient scheduling of jobs. This work addresses this problem by describing and evaluating a grid scheduling architecture and three job migration algorithms. The architecture is scalable and does not assume control of local site resources. The job migration policies use the availability and performance of computer systems, the network bandwidth available between systems, and the volume of input and output data associated with each job. An extensive performance comparison is presented using real workloads from leading computational centers. The results, based on several key metrics, demonstrate that the performance of our distributed migration algorithms is significantly greater than that of a local scheduling framework and comparable to a non-scalable global scheduling approach.
    Keywords: Mathematical and Computer Sciences (General)
    Type: 2004 HPDC Conference; Jan 01, 2004; Unknown
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    NASA TECHNICAL REPORTS
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