Author: Haedar, H.
Paper Title Page
WEPAB309 Study and Design of the Appropriate High-Performance Computing System for Beamline Data Analysis Application at Iranian Light Source Facility (ILSF) 3399
 
  • A. Khaleghi, M. Akbari
    ILSF, Tehran, Iran
  • H. Haedar, K. Mahmoudi, M. Takhttavani
    IKIU, Qazvin, Iran
  • S. Mahmoudi
    Sharif University of Technology (SUT), Tehran, Iran
 
  Data analysis is a very important step in doing experiments at light sources, where multiple application and software packages are used for this purpose. In this paper we have reviewed some software packages that are used for data analysis and design at Iranian Light Source Facility then according to their processing needs, after taking in mind different HPC scenarios a suitable architecture for deployment of the ILSF HPC is presented. The proposed architecture is a cluster of 64 computing nodes connected through Ethernet and InfiniBand network running a Linux operating system with support of MPI parallel environment.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB309  
About • paper received ※ 19 May 2021       paper accepted ※ 23 July 2021       issue date ※ 01 September 2021  
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WEPAB310 Study and Design of a High-Performance Computing Infrastructure for Iranian Light Source Facility Based on the Accelerator Physicists and Engineers’ Applications Requirements 3402
 
  • K. Mahmoudi, H. Haedar, A. Khaleghi
    IKIU, Qazvin, Iran
  • M. Akbari, A. Khaleghi
    ILSF, Tehran, Iran
  • S. Mahmoudi
    IUST, Narmac, Tehran, Iran
 
  Synchrotron design and operation are one of the complex tasks which requires a lot of precise computation. As an example, we could mention the simulations done for calculating the impedance budget of the machine which requires a notable amount of computational power. In this paper we are going to review different HPC scenarios suitable for this matter then we will present our design of a suitable HPC based on the accelerator physicists and engineers’ needs. Going through different HPC scenarios such as shared memory architectures, distributed memory architectures, cluster, grid and cloud computing we conclude implementation of a dedicated computing cluster can be desired for ILSF. Cluster computing provides the opportunity for easy and saleable scientific computation for ILSF also another advantage is that its resources can be used for running cloud or grid computing platforms as well.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB310  
About • paper received ※ 19 May 2021       paper accepted ※ 19 July 2021       issue date ※ 12 August 2021  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)