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Graphical Processing Units (GPUs) are highly parallelised processors which, when used heterogeneously with a CPU, can provide scientific and engineering computing applications with speed ups of up to 100x.
The Victorian Partnership for Advanced Computing and Swinburne University of Technology with the support of NVIDIA and sponsorship by Xenon Systems, are delivering a GPU computing workshop to help researchers learn and adopt the benefits of GPUs in their research fields.
The workshop will be hosted at the Swinburne University of Technology Hawthorn campus and will feature presentations and demonstrations by NVIDIA's Mark Harris as well as host partners.
The workshop will provide an introduction to the CUDA architecture, programming model, and the programming environment of C for CUDA, as well as an overview of the newly released Fermi GPU architecture, a live programming demonstration and strategies for optimising CUDA applications for the GPU.
A detailed schedule for this event is outlined below.
GPU Computing Workshop Schedule
8:45 Registration
9:00 Professor Leon Sterling - Dean, Swinburne Faculty of Information and Communication Technology
9:10 Phil Tannenbaum - VPAC HPC Centre Manager
9:20 Professor Matthew Bailes - Director of the Swinburne Centre for Astrophysics and Supercomputing
9:30 Mark Harris - Introduction to NVIDIA CUDA, Tesla and the Fermi Architecture
10:10 Dragan Dimitrovici - Getting Started - CUDA enabled Hardware Options
10:30 Tea break *catered*
10:50 Mark Harris - CUDA Parallel Programming Model and C for CUDA
11:20 Mark Harris - Live Programming Demo
11:50 Mark Harris - CUDA Debugging and Profiling Tools
12:20 Lunch break *catered*
1:20 Mark Harris - Optimizing Performance on NVIDIA GPUs, Fermi Update and Q&A
2.20 Tea break *catered*
2:40 Chris Fluke - Swinburne Astrophysics GPU Projects
3.30 Paul McIntosh - Visualisation using the GPU Computing Processor
4:20 Sam Moskwa - GPU Computing at the CSIRO
5.00 Close
Location
This event will be hosted by Swinburne University of Technology Hawthorn campus in room AGSE 207 commencing at 8:45am on the 28th July.
A map with the location of this event circled in red can be found at this link .
Paid parking is available at this multi deck car park on Wakefield street (building 19W on the campus map).