Parallel software and hardware for capability visualization of high performance computing results

被引:0
|
作者
Aguilera, D. [1 ]
Carrard, T. [1 ]
de Verdiere, G. Colin [1 ]
Nomine, J. P. [1 ]
Tabourin, V. [1 ]
机构
[1] CEA, DIF, F-91680 Bruyeres Le Chatel, France
关键词
D O I
暂无
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Simulations on supercomputers such as TERA 10 often yield masses of results that cannot be post-processed using conventional hardware and software. The size of meshes, the number of variables and of timesteps stemming from parallel computations overwhelm the capacities of workstations or even small clusters. After describing our display targets and post-processing usages, we will illustrate how parallel software packages such as EnSight and VTK can be used to run on machines ranging from workstations to TERA 10 for our specific capability visualization needs.
引用
收藏
页码:321 / 326
页数:6
相关论文
共 50 条
  • [1] Workstation cluster as a parallel hardware environment for high performance computing
    Kahlert, M.
    Wever, U.
    Zheng, Q.
    Lecture Notes in Computer Science, 1156
  • [2] AGGREGATION OF PARALLEL COMPUTING AND HARDWARE/SOFTWARE CO-DESIGN TECHNIQUES FOR HIGH-PERFORMANCE REMOTE SENSING APPLICATIONS
    Castillo Atoche, A.
    Palma Marrufo, O.
    Ricalde Castellanos, L.
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 217 - 220
  • [3] Models of the evolution of hardware and software based on the study of parallel computing
    Ruiz Figueroa, Alejandro
    Makagonov, Pavel
    INTERCIENCIA, 2007, 32 (03) : 160 - 166
  • [4] PARALLEL VISUAL COMPUTING ON THE AP1000 - HARDWARE AND SOFTWARE
    SATO, H
    INAO, S
    YOSHIJIMA, H
    FUJITSU SCIENTIFIC & TECHNICAL JOURNAL, 1993, 29 (01): : 41 - 49
  • [5] Hardware/software interface for high-performance space computing with FPGA coprocessors
    Greco, James
    Cieslewski, Grzegorz
    Jacobs, Adam
    Troxel, Ian A.
    George, Alan D.
    2006 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2006, : 2479 - +
  • [6] Towards a Common Software-to-hardware Allocation Framework for the Heterogeneous High Performance Computing
    Krpic, Zdravko
    Crnkovic, Ivica
    Carlson, Jan
    2014 38TH ANNUAL IEEE INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSACW 2014), 2014, : 378 - 383
  • [7] Special section on hardware/software support for high performance scientific and engineering computing - Foreword
    Guo, M
    Yang, LT
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2004, E87D (07) : 1615 - 1616
  • [8] Research on Parallel Computing Performance Visualization Based on MPI
    Zhang Fan
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 5, 2010, : 323 - 327
  • [9] High Performance Visualization of Human Tumor Detection Using WTMM on Parallel Computing System
    Sulaiman, Hanifah
    Said, Norfarizan Mohd
    Ibrahim, Arsmah
    Alias, Norma
    2013 IEEE 9TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS (CSPA), 2013, : 205 - 208
  • [10] Best-effort Computing: Re-thinking Parallel Software and Hardware
    Chakradhar, Srimat T.
    Raghunathan, Anand
    PROCEEDINGS OF THE 47TH DESIGN AUTOMATION CONFERENCE, 2010, : 865 - 870