RCACI
menu

Event details

Computing Servers Workshop [Large Memory PC Cluster] ~ Machine Learning/Image Detection using container ~
Please note that questions in English are welcome although the workshop will be basically conducted in *Japanese*.

   The Large Memory PC Cluster (LMPCC) Workshop will be held as follows.
  LMPCC consists of 32 compute nodes with large memory capacity of 12TB /6TB and 1.5TB memory and high clock CPUs.
  The OS is Linux in general, and it can be used for various kinds of large scale computations, from C and fortran to python and JAVA.
  In the first part of this workshop, you will learn the basic usage of  LMPCC, such as compiling and submitting jobs, and in the second part,  you will learn how to create and execute containers using machine  learning and image detection programs as examples.
  Those who wish to participate are requested to register in advance.
  It is possible to attend only the first part or only the second part.

  We look forward to seeing you all there!
  ・The content of this workshop is a revision of the content of the workshop held on Oct 29, 2020.

   Registration:
    
Registration form is in the bottom of the page.
       (The deadline is Jun. 21 (Mon)17:00)

   How to join the Orientation(MS Teams is required):

  1. Click the following link, "MPC Teams"
  2. Join the "MPC" Team.
  3. Join the Channel:  "20210622 [LMPCC] Computing workshop".
  4. Click the Meeting link in the channel

         MPC Teams

  Notice:

  • This workshop will be recorded and published via JAIST LMS system.
  • The hands-on PC requirement:
    • Access to JAIST network(VPN or fep will be required if you aren't in JAIST. )
    • Terminal software for SSH session
        example: mobaXterm, putty  or WSL2(windows), XQuartz(MacOS)
      * If you aren't familiar with using CUI based editor (vi, emacs, etc), we recommend you install mobaXterm or XQuartz.
Startdate
2021.06.22 - 13:30
Enddate
2021.06.22 - 17:10
場所/Place
Webinar (WebEX)
プログラム/Program

13:30 - 15:00 Introduction

  • System summary
  • Submit job
  • Creating a job Script
  • Numerical Library
  • First-Touch Policy & Data Placement
  • Compile and Execute

15:15 - 17:00 Hands-on tutorial

  • Container Basics and Applications
    • Tensorflow
    • Yolo

17:00 - 17:10 - FAQ