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Consultation Time

To be set when lecture and practical times are resolved. At the moment I don't mind if you interrupt me at any time. You can email me for an appointment if necessary, or try phoning me on 6125 4386.

Lecture and Laboratory Times and Locations

• Lecture 1: Monday, 16:00-18:00, Chem T2
• Lecture 2: Tuesday, 14:00-15:00, Chem T2
• Lab Group 1: Tue 11:00-13:00, CSIT N114
• Lab Group 2: Tue 17:00-19:00, CSIT N113
• Lab Group 3: Wed 18:00-20:00, CSIT N114

You attend just one of the laboratory sessions. Sign up for one via streams (as of 10 Feb I've not yet activated this).

Schedule with indicative content

Week	L1/2 Mon 16:00 Chem T2	L3 Tue 14:00 Chem T2	Labs
Learning Objective: Understanding of and ability to use message passing Ch 1,2,3,7 of Principles of Parallel Programming Ch 1,2,4,6 of Introduction to Parallel Computing
1:Feb23	Unit Introduction Parallel Hardware	Parallel Hardware
2:Mar 2	Message Passing and MPI	Performance Modeling
Learning Objective: Appreciation of and ability to use various parallelisation approaches Ch 4,5 of Principles of Parallel Programming Ch 3, (examples from 8-12) of Introduction to Parallel Computing
3:Mar 9	Canberra Day	Parallel Algorithm Design	Lab
4:Mar 16	Parallel Algorithm Design	Assignment 1 (MPI based)
Learning Objective: Understanding of and ability to use OpenMP and pthreads Ch 6 of Principles of Parallel Programming Ch 7 of Introduction to Parallel Computing
5:Mar 23	Shared Address Space Hardware	pthreads	Lab
6:Mar 30	OpenMP	Big Iron (Jay Larson)	TBC: Tour National Facility Meet at Leonard Huxley Building
7:Apr 6	Mid Semester Exam	No Lecture	Lab
Mid Semester Break (Friday April 10 - Monday April 27 inclusive)
Learning Objective: Advanced concepts/features in distributed and shared memory systems Ch 2 of Principles of Parallel Programming
8:Apr 27	Anzac Day	Memory Consistency	Lab
9:May 4	Software Distributed Shared Memory, MPI-2, NUMA	Assignment 2 (OpenMP/pthread based)
Learning Objective: Building parallel codes, knowledge of loosely coupled parallel systems and their use Ch 10, 11 of Principles of Parallel Programming
10:May 11	Developing large scale parallel applications GRID and Cloud Computing (Jay Larson)		Lab
Learning Objective: Knowledge and understanding of current parallel hardware and software trends Ch 8, 9, 10 of Principles of Parallel Programming
11:May 18	Hardware Trends: GPUs, Cell Broadband Engine etc
12:May 25	Software Trends: Partitioned Global Address Space Languages, X10, Chapel etc		Lab
13:Jun 1	FINAL LECTURE Review Course Overview of Exam Take Questions	No Lecture
Final Exam