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Announcements
[2023/2/8] Four important notices:
Course website at the University of Tokyo:
http://nkl.cc.u-tokyo.ac.jp/NTU2023W/Please install software and tools according to the following material:
http://nkl.cc.u-tokyo.ac.jp/NTU2023W/SW.pdfPlease read the following material before the class:
http://nkl.cc.u-tokyo.ac.jp/NTU2023W/Introduction.pdfPlease browse the following material before the class:
C language: http://nkl.cc.u-tokyo.ac.jp/NTU2023W/omp-c-a01.pdf
Fortran: http://nkl.cc.u-tokyo.ac.jp/NTU2023W/omp-f-a01.pdf
[2023/1/5] The class room has been changed to Room 505, Chee-Chun Leung Cosmology Hall, National Taiwan University (Map) 上課教室：國立臺灣大學・次震宇宙館 505 室・地圖
Schedule
February 14 (Tue), 2023
09:10-10:00 Introduction
10:10-11:00 Finite Volume Method (FVM) (1/4)
11:10-12:00 Finite Volume Method (FVM) (2/4)
13:10-14:00 Finite Volume Method (FVM) (3/4)
14:10-15:00 Finite Volume Method (FVM) (4/4)
15:10-16:00 Introduction to OpenMP (1/4)
16:10-17:00 Login to Odyssey
February 15 (Wed), 2023
09:10-10:00 Introduction to OpenMP (2/4)
10:10-11:00 Introduction to OpenMP (3/4)
11:10-12:00 Introduction to OpenMP (4/4)
13:10-14:00 ICCG Method (1/3)
14:10-15:00 ICCG Method (2/3)
15:10-16:00 ICCG Method (3/3)
16:10-17:00 Reordering (1/4)
February 16 (Thu), 2023
09:10-10:00 Reordering (2/4)
10:10-11:00 Reordering (3/4)
11:10-12:00 Reordering (4/4)
13:10-14:00 Parallel FVM using OpenMP (1/4)
14:10-15:00 Parallel FVM using OpenMP (2/4)
15:10-16:00 Parallel FVM using OpenMP (3/4)
16:10-17:00 Parallel FVM using OpenMP (4/4)
請在 2023/01/15 17:00 前線上註冊 : https://forms.gle/n2vi9XkiPVj46Pi6A
(本課程名額有限，錄取學員將另行通知。)
Prerequisites
Experiences in Unix/Linux (vi or emacs)
Experiences in Programming by C/C++/Fortran
Fundamental numerical algorithms (Gaussian Elimination, LU Factorization, Jacobi/Gauss-Seidel/SOR Iterative Solvers, Conjugate Gradient Method (CG))
Experiences in SSH Public Key Authentication Method (optional)
Preparation for PC
Your PC (Windows, Mac, Linux): The latest version of Anti-Virus software and the latest OS must be installed to your PC.
Preparation: Software/Tools on Your PC (https://www.dropbox.com/s/jj2w5x0sj8w1x5j/SW.pdf?dl=0)
Windows-Subsystem-for-Linux (WSL): https://learn.microsoft.com/en-us/windows/wsl/
Cygwin (Windows Only): https://www.cygwin.com/
ParaView (for Visualization): http://www.paraview.org
FVM Codes for PC
PCG (C. Fortran): http://nkl.cc.u-tokyo.ac.jp/files/fvm.tar
ICCG (Fortran): http://nkl.cc.u-tokyo.ac.jp/files/multicore-f.tar
Overview
In order to make full use of modern supercomputer systems with multicore/manycore architectures, hybrid parallel programming with message-passing and multithreading is essential. While MPI is widely used for message-passing, OpenMP for CPU and OpenACC for GPU are the most popular ways for multithreading on multicore/manycore clusters. In this 3-day course, we focus on the optimization of single node performance using OpenMP for CPU. We “parallelize” a finite-volume method (FVM) code with Krylov iterative solvers for Poisson’s equation on Wisteria/BDEC-01（Odyssey）System (http://nkl.cc.u-tokyo.ac.jp/22s/WisteriaBDEC01.pdf) with Fujitsu/Arm A64FX (same architecture as that of “Fugaku” supercomputer) at the University of Tokyo, which is ranked 23rd in the Top500 list published in November 2022 (https://www.top500.org/).
In this Winter School, the target application is a 3D FVM code for Poisson’s equation by ICCG Method (Conjugate Gradient (CG) iterative method with Incomplete Cholesky preconditioning), which is widely used in practical applications. Because ICCG includes “data dependency,” where writing/reading data to/from memory could occur simultaneously, parallelization using OpenMP is not straightforward. We need a certain kind of reordering in order to extract parallelism. In this 3-day course, lectures and exercises on the following issues will be provided:
Overview of Finite-Volume Method (FVM)
Kyrilov Iterative Method, Preconditioning
Implementation of the Program
Introduction to OpenMP
Reordering/Coloring Method
Parallel FVM by OpenMP
Instructor
Additional Materials
http://nkl.cc.u-tokyo.ac.jp/NTU2023W/ (Available soon)
http://nkl.cc.u-tokyo.ac.jp/22s/ (Lectures at the University of Tokyo)
Software/Tools on Your PC (https://www.dropbox.com/s/jj2w5x0sj8w1x5j/SW.pdf?dl=0)
主辦單位：科技部 國家理論科學研究中心數學組
協辦單位：東京大學情報基盤中心，台灣工業與應用數學學會，臺灣大學數學系與應用數學科學研究所
主持人：Pochung Chen (National Tsing Hua University), Tsung-Ming Huang (National Taiwan Normal University), Feng-Nan Hwang (National Central University), Ying-Jer Kao (National Taiwan University), Weichung Wang (National Taiwan University)
聯絡人：Ms. Murphy Yu < murphyyu@ncts.tw >
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