| Lecture |
Notes |
| 1: Tue Feb 26 |
Unit Introduction
(ppt version)
APAC
National Computational
Infrastructure/APAC National Facility/
Australia's Academic and Research Network
Bunyip
|
2-3: Wed Feb 27 |
Computational Challenges in
Scientific Computing
(ppt version (very large))
Computational Science at ANU
National Computational
Science Education Consortium
NASA Ames wind tunnels
The
Earth Simulator
Project related links
Visual Python
Real time cloth simulation
Advanced character physics
Approximate models of the real world
Large steps in cloth simulation
|
4: Tue Mar 4 |
Performance Measuring and
Benchmarking (1up version)
The Top500
SPEC Organisation
SPEC2006 Articles
TPC Benchmark
STREAM Benchmark
|
5-6: Wed Mar 5 |
Computing with Real Numbers
(1up version)
What every ANU Computer Science graduate should know about computer arithmetic!
Demo Code
IEEE Reference
IEEE 754 Floating Point Numbers
Disasters
caused by arithmetic errors
ASCI
should use intervals
Interval
Computations
|
7: Tue Mar 11 |
Finish Floating Point
|
8-9: Wed Mar 12 |
High Performance
Microprocessors (1up version)
Project related links
Moving atoms/Errors/Performance(1up ppt version)
|
Things you should know by now #1!!
|
10: Tue Mar 18 |
More on High Performance Microprocessors
Multiple Registers (1up version)
From UltraSPARC manual"
This is quite a detailed tutorial on pipelining. It is
directed more towards a course in advanced computer architecture than our
course in high performance scientific computing, so I would not expect
you to know everything given here.
Branch Prediction - taken
from reference book "Computer Architecture, A Quantitative Approach" by
Hennessy and Patterson.
|
11-12: Wed Mar 19 |
Memory Systems
(1up version)
Dowd on cache - taken
from reference book "High Performance Computing" by
Kevin Dowd and Charles Severance
Hennessy on cache - taken
from reference book "Computer Architecture, A Quantitative Approach" by
Hennessy and Patterson.
Project related: Interfacing Python and C
Richard Muller on Python/C
Interfacing(His complete
course web page)
Python/C example code
|
13: Tue Mar 25 |
Memory Systems (cont)
Hardware Performance
Counters (1up version)
Performance Analysis and Moinitoring
Using UltraSPARC-IIICu Performance Counters to Improve Application Performance
Performance Evaluation Using Hardware Performance Counters
PAPI
PCL
|
14-15: Wed Mar 26 |
Complete performance counters and memory systems
Project related
Towards linear scaling MD
(1up ppt version)
Example for periodic code
NAMD Performance
|
16: Tue Apr 1 |
Optimizing Compilers
(1up version)
Compiler Operation and Code Generation, from Ch 5 of Write Great Code Vol 2.
Selecting best Sun compiler options
Sun Compiler Components (scroll down)
|
17-18: Wed Apr 2 |
This is the last lecture before the mid-semester exam. We will have a
general discussion about the items I have listed under the two
"things you should know" links. Please look over these lists and also
bring any other questions you might (relating to any part of the
course).
Loop Optimization
(1up version)
Figures from Chapter 8 of Dowd
Cache Oblivious Matrix Transposition:
A paper based on work of honours student Dimitrios
Tsifakis that was presented at 2004 International Conference
Computational Science.
|
Things you should know by now #2!!
|
Tue Apr 8 |
MID SEMESTER EXAM
Melville Hall, start 3pm exactly, end 3.50pm. Arrive 5 min early.
|
19-20: Wed Apr 9 |
Operation Balance and
Memory Access(1up version)
Project related
Periodic Boundary Conditions Example code
Theoretical Peak Floating Point by Processor
The UltraSPARC Family (1up version)
UltraSPARC II: The
Advancement of UltraComputing
UltraSPARC III
Overview of UltraSPARC
III (Cu)
UltraSPARC IV(Sun)
Scalable Processor ARChitecture (SPARC)
Post RISC and the Intel Family (1up version)
Intel Pentium 4 processor site
Microarchitecture of the
Pentium 4 Processor
Intel Itanium
site
Introducing the IA-64
Architecture
The Itanium Microarchitecture
Intel 64 bit Architecture
Inside Intel Core Microarchitecture
Intel Core Architecture
Intel Core Smart Memory Access
Intel's Next Generation Architecture Unvelled
Intel Core 2 Extreme QX9650 CPU Review
AMD Processor Architecture
AMD Barcelona Processor
AMD Opteron
|
| Mid Semester
Break (Monday April 14 - Friday April 25 inclusive) |
21: Tue Apr 29 |
Shared Memory Computers
(1up version)
Mid-semester examine return
|
22-23: Wed Apr 30 |
SMP Parallel Programming
(1up version)
We will discuss the start of Assignment 2. It will involve
simulation of a cloth, which falls on a ball. The overall objective
will be to generate an OpenMP parallel version of such a code. Your
first objective, however, will be to create the C/C++ code to perform
the basic simulation, given a Python code.
|
24: Tue May 6 |
SMP Parallel Programming (cont)
OpenMP
(1up version)
The OpenMP web site
|
25-26: Wed May 7 |
Will finish any shared memory stuff, then talk
about the assignment - which will involve a move from python to OpenGL
using another machine called fremont (account for which you will only
get by seeing me in labs - or in person with good excuse why you
were not in labs).
|
27: Tue May 13 |
Distributed Memory and Clusters
(1up version)
|
27-28: Wed May 14 |
Message Passing
(1up version)
Beowulf Clusters
Bunyip
MPI
|
Tue May 19 |
Optional:
Overview of APAC machines
(slides from Jay Larson in 2007), some interesting HPC Systems in DCS, assignment questions, etc!
|
Wed May 20 |
Optional APAC Tour: Tour
APAC National Facilty,
meet 16:15 in the foyer of the
Leonard Huxley
building (foyer is on level 3, entrance of which is shown on previous
link, it will take you about 15mins to walk there from Computer Science
Building).
|
Tue May 27 |
No Lecture
|
Wed May 28 |
No Lecture
|
29: Tue Jun 3 |
Grid and Languages
for HPC
(1up version)
GRID
Anatomy of the Grid (Ian Foster et al)
Fundmentals of Grid Computing (IBM Redbook)
Globus Toolkit
Unicore Toolkit
Sun Utility Computing Grid (buy time at $1/hour).
Gridbus
Fortran/C/Java
Fortran Pioneers (New York Times)
Brief History of Fortran
Fortran2003
User notes
on Fortran programming. History of Fortran and comparison with
C.
Fortran90 and
computational science
Comparison of C++ and Fortran 90 for Object-Oriented Scientific
Petition to retire fortran!
Java and Numerical Computing
Java at Middle Age: Enabling Java
for Computational Science
Benchmarking Java agains C and
Fortran for Scientific Applications
Some Future Prospects
DARPA High Productivity Computing Systems Initiative
Unified Parallel C
Titanium
Co-Array Fortran
Chapel
Fortress
The X10 Option
X10
Concurrent
Programming for Modern Architectures
X10
Milestone Review
HPC Challenge
Submission for X10
|
30-31: Wed Jun 4 |
Exam Review, Course Summary,
CEDAM survey
|