2025 (Current Year) Faculty Courses School of Computing Undergraduate major in Computer Science

Parallel Programming

Academic unit or major: Undergraduate major in Computer Science
Instructor(s): Suguru Saito / Youmi Ma
Class Format: Lecture/Exercise (Face-to-face)
Media-enhanced courses: -
Day of week/Period (Classrooms): 3-4 Tue (W9-323(W932)) / 3-4 Fri (W9-323(W932))
Class: -
Course Code: CSC.T354
Number of credits: 110
Course offered: 2025
Offered quarter: 2Q
Syllabus updated: Mar 31, 2025
Language: Japanese

Syllabus

Course overview and goals

Parallel programming is an indispensable technique to use a recent computer efficiently. In this lecture and exercise, you will learn the basic knowledge and practical skills for parallel programming.
In a parallel program, problems not occurring in a non-parallel program happen. The reason why those happen and methods to avoid them are explained in lecture. Actual programming is experienced in exercise. Therefore please acquire programming knowledge in advance.
Java language is adopted in this class.

Course description and aims

The goal of this class is to learn several knowledge parts to build a right parallel program, such as right data resource sharing, synchronization, appropriate calculation power distribution, deferred execution and so on through java code.

Topics are:
1) understanding where a data instance is stored
2) thread programming
3) event-driven programming
4) GPU programming

Keywords

Thread programming, GPU programming, GUI programming, Visibility, Synchronize, Monitor, Atomicity

Competencies

Specialist skills
Intercultural skills
Communication skills
Critical thinking skills
Practical and/or problem-solving skills

Class flow

lecture terms are in classroom and exercise terms are in computer room of our faculty.

Course schedule/Objectives

	Course schedule	Objectives
Class 1	Introduction, Event-driven programming	event and event handler
Class 2	exercise 1	JavaFX program
Class 3	Event-driven programming(2) Thread	event transfer thread, monitor
Class 4	exercise 2	JavaFX program 2
Class 5	Thread safe review: data and its stored way	unshared, immutable, synchronize shallow copy and deep copy, real and reference
Class 6	exercise 3	review of data and pointer, use of polymorphism race condition
Class 7	thread and complex synchronization atomic	wait, join, and notify starvation
Class 8	exercise 4	concurrent server
Class 9	deferred execution stream	stream, lambda expression, thread pool
Class 10	exercise 5	lambda expression and stream
Class 11	GPU programming	OpenCL
Class 12	exercise 6	OpenCL
Class 13	GPU programming image processing	data parallel execution
Class 14	exercise 7	image processing integrated application

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None

Reference books, course materials, etc.

Handout will be uploaded on T2SCHOLA.
Data and sample codes will be uploaded on a web site.

Evaluation methods and criteria

Scored by submitted reports.

Related courses

CSC.T263 ： Functional Programming Fundamentals
CSC.T273 ： Object-Oriented Programming
CSC.T344 ： System Programming
CSC.T363 ： Computer Architecture

Prerequisites

If there are students exceed the number of computers, the students of computer science will be given priority to.