Результаты поиска по 'high-performance computing systems':
Найдено статей: 23
  1. Wrigley T., Reed R.G., Mellado B.
    Memory benchmarking characterisation of ARM-based SoCs
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 607-613

    Computational intensity is traditionally the focus of large-scale computing system designs, generally leaving such designs ill-equipped to efficiently handle throughput-oriented workloads. In addition, cost and energy consumption considerations for large-scale computing systems in general remain a source of concern. A potential solution involves using low-cost, low-power ARM processors in large arrays in a manner which provides massive parallelisation and high rates of data throughput (relative to existing large-scale computing designs). Giving greater priority to both throughput-rate and cost considerations increases the relevance of primary memory performance and design optimisations to overall system performance. Using several primary memory performance benchmarks to evaluate various aspects of RAM and cache performance, we provide characterisations of the performances of four different models of ARM-based system-on-chip, namely the Cortex-A9, Cortex- A7, Cortex-A15 r3p2 and Cortex-A15 r3p3. We then discuss the relevance of these results to high volume computing and the potential for ARM processors.

    Keywords: ARM, memory, benchmarks, throughput-oriented computing, high-volume computing.
  2. Berezhnaya A.Ya., Velikhov V.E., Lazin Y.A., Lyalin I.N., Ryabinkin E.A., Tkachenko I.A.
    The Tier-1 resource center at the National Research Centre “Kurchatov Institute” for the experiments, ALICE, ATLAS and LHCb at the Large Hadron Collider (LHC)
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 621-630

    The review of the distributed computing infrastructure of the Tier-1 sites for the Alice, ATLAS, LHCb experiments at the LHC is given. The special emphasis is placed on the main tasks and services of the Tier-1 site, which operates in the Kurchatov Institute in Moscow.

    Keywords: high-performance computing systems, mass storage distributed system, distributed data processing, grid.
    Views (last year): 2.
  3. Degtyarev A.B., Myo Min S., Wunna K.
    Cloud computing for virtual testbed
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 753-758

    Nowadays cloud computing is an important topic in the field of information technology and computer system. Several companies and educational institutes have deployed cloud infrastructures to overcome their problems such as easy data access, software updates with minimal cost, large or unlimited storage, efficient cost factor, backup storage and disaster recovery, and some other benefits if compare with the traditional network infrastructures. The paper present the study of cloud computing technology for marine environmental data and processing. Cloud computing of marine environment information is proposed for the integration and sharing of marine information resources. It is highly desirable to perform empirical requiring numerous interactions with web servers and transfers of very large archival data files without affecting operational information system infrastructure. In this paper, we consider the cloud computing for virtual testbed to minimize the cost. That is related to real time infrastructure.

    Keywords: cloud computing, cloud storage, modeling of marine environments.
    Views (last year): 7.
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