High Performance Parallel Computing Technology for Computational Sciences University of Tsukuba

Course Overview
High performance computing is the basic technology needed to support today's large scale scientific simulations. It covers a wide variety of issues on hardware and software for high-end computing such as high speed computation, high speed networking, large scale memory and disk storage, high speed numerical algorithms, programming schemes and the system softwares to support them. Current advanced supercomputer systems are based on large scale parallel processing systems. Nowadays, even application users are required to understand these technologies to a certain level for their effective utilization. In this class, we focus on the basic technology of high-end computing systems, programming, algorithm and performance tuning for application users who aim to use these systems for their practical simulation and computing.
Learning Achievement
1. Fundamentals of HPC and parallel processing
2. Parallel processing systems
3. OpenMP
4. MPI
5. Parallel numerical algorithm 1 (Numerical methods for linear systems)
6. Parallel numerical algorithm 2 (Fast Fourier transform)
7. Optimization 1 (Computation optimization)
8. Optimization 2 (Communication optimization)
Competence
Knowledge Utilization Skills, International Skills, Research Skills, Expert Knowledge
Course prerequisites
Grading Philosophy
The grade will be evaluated by reports.
Course schedule
Course type
Lectures
Online Course Requirement
Instructor
Boku Taisuke,Tatebe Osamu,Takahashi Daisuke,Nukada Akira,Tadano Hiroto,Aranha, Claus
Other information
Lecture is conducted in English.
Site for Inquiry
Link to the syllabus provided by the university