Trimester 1 - 2015

Unit Description

Parallel and distributed computing platforms are vital to high performance computing systems in the commercial and scientific domains as they provide the capabilities to manage, process and analyze enormous volumes of data. As a result, the ability to develop parallelization strategies for complex processing tasks is a key skill for software engineers and data scientists.

This unit provides in-depth coverage of the algorithms and principles for developing software for UNIX-based parallel and distributed computer systems. The unit provides an overview of UNIX processes, the development of multi-threaded software and the use of system calls to mange synchronization and inter-process communication. We also cover the principles of shared resources, mutual exclusion and describe implementation strategies for developing efficient multi-threaded and multi-process software for high-performance computation. Throughout this unit, students will develop software for both distributed platform and single-machine platforms through a range of lab exercises and programming assignments.

Unit Orientation

• Unit Description
• Study Plan
• Unit Coordinator

Assignments

• Assignment 1
• Assignment 2
• Assignment 3
• Assignment 4
• Project 1 (COMP509)

Lectures

Lab Exercises

• Exercise 1
• Exercise 2
• Exercise 3
• Exercise 4
• Exercise 5
• Exercise 6
• Exercise 7
• Exercise 8
• Exercise 9
• Exercise 10