Результаты поиска по 'focuses':
Найдено статей: 43
  1. Iakushkin O.O., Degtyarev A.B., Shvemberger S.V.
    Decomposition of the modeling task of some objects of archeological research for processing in a distributed computer system
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 533-537

    Although each task of recreating artifacts is truly unique, the modeling process for façades, foundations and building elements can be parametrized. This paper is focused on a complex of the existing programming libraries and solutions that need to be united into a single computer system to solve such a task. An algorithm of generating 3D filling of objects under reconstruction is presented. The solution architecture necessary for the system's adaptation for a cloud environment is studied.

    Keywords: distributed systems, cloud computing, modeling, reconstructions, service application architecture.
    Views (last year): 1. Citations: 2 (RSCI).
  2. Marosi A.C., Lovas R.
    Defining volunteer computing: a formal approach
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 565-571

    Volunteer computing resembles private desktop grids whereas desktop grids are not fully equivalent to volunteer computing. There are several attempts to distinguish and categorize them using informal and formal methods. However, most formal approaches model a particular middleware and do not focus on the general notion of volunteer or desktop grid computing. This work makes an attempt to formalize their characteristics and relationship. To this end formal modeling is applied that tries to grasp the semantic of their functionalities — as opposed to comparisons based on properties, features, etc. We apply this modeling method to formalize the Berkeley Open Infrastructure for Network Computing (BOINC) [Anderson D. P., 2004] volunteer computing system.

    Keywords: BOINC, ASM, Formalism, Volunteer Computing.
  3. 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.
Pages: « first previous

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science