1. Course Background & Purposes

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 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.utokyo.ac.jp/22s/WisteriaBDEC01.pdf) with Fujitsu/Arm A64FX at the University of Tokyo, which is ranked 23rd in the Top500 list published in November 2022 (https://www.top500.org/).

Our Website：https://sites.google.com/site/school4scicomp/

2. Course Outline & Descriptions

·       Overview of Finite-Volume Method (FVM)

·       Kyrlov Iterative Method, Preconditioning

·       Implementation of the Program

·       Introduction to OpenMP

·       Reordering/Coloring Method

·       Parallel FVM by OpenMP

3. Grading

Course attendance and hands-on coding

4. Registration

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