SCHEDULE: NOV 10-16, 2007

The Sony PlayStation 3 and the NVIDIA 8800 GPU: Performance and Programmability Evaluation for Machine Learning

Session: Posters Reception

Event Type: Poster

Time: 5:15pm - 7:00pm

Session Chair: Tamara K Grimmett

Author(s): Ahmed El Zein, Eric McCreath, Alistair Rendell, Alex Smola

Location: Ballroom Lobby

Abstract:
This poster outlines our efforts to exploit the Sony PlayStation3 (PS3) and the NVIDIA GeForce 8800 for machine learning (ML) applications. It will compare both the performance obtained and the programmability of these two different systems.

The ML algorithm is iterative requiring two large matrix vector operations to per iteration. Our implementation strategy is different on each machine. On the 8800 we have explored the use of NVIDIA’s Compute Unified Device Architecture (CUDA) and its associated BLAS library (cuBlas). On the PS3 we have programmed our own routines. Comparison will be made between the use of these non-conventional compute platforms with alternatives (the PowerPC processor and a dual core Athlon64).

This work is on going, and while we have preliminary results for both systems we expected to have additional data by the time of SC07. Results will be presented in a standard poster format using a variety of tables and figures.

Chair/Author Details:

Tamara K Grimmett (Chair)
INL

Ahmed El Zein
Australian National University

Eric McCreath
Australian National University

Alistair Rendell
Australian National University

Alex Smola
NICTA

Home | About | Contact Us | Registration