06/07/2010
XENON hosts a series of High Performance GPU Computing Workshops with NVIDIA CUDA
XENON a major partner for NVIDIA in Australasia is running a series of workshops on the emerging NVIDIA Tesla GPU/CUDA technology. The workshops are conducted by Professor Mark Harris, an expert on GPU Computing from NVIDIA, currently residing in Australia and the founder of the gp.gpu.org web site. Professor Harris will also be introducing the new Tesla platform - Fermi.
To date workshops have been run at the University of Queensland (UQ), University of NSW, Swinburne University VIC, eResearch SA and ANU Canberra. Future workshops have now been scheduled.
(Please note that although registration is free, acceptance is subject to
host organisation approval and seat availability)
Workshop Timetable
Perth
High Performance GPU Computing with NVIDIA, CUDA, and Fermi.
Thursday 19th August 2010, 8:30-17:00
ARRC auditorium, 26 Dick Perry Avenue, Technology Park, Kensington.
Please RSVP to admin@wasp.uwa.edu.au or 08 64888740 (mornings) including name
and contact details.
CUDA is a parallel computing architecture and programming environment from NVIDIA that enables dramatic increases in computing performance by harnessing the power of the GPU (graphics processing unit).
Computing is evolving from "central processing" on the CPU to "co-processing" on the CPU and GPU. To enable this new computing paradigm, NVIDIA invented the CUDA parallel computing architecture. With over 100 million CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for CUDA, including image and video processing, computational biology and chemistry, fluid dynamics simulation, CT image reconstruction, seismic analysis, financial computing, ray tracing, and much more.
The latest CUDA-enabled GPU architecture from NVIDIA, code-named "Fermi", is now available in the form of the Tesla 20 series GPU computing solutions, which support many "must have" features for technical and enterprise computing. These include ECC memory for uncompromised accuracy and scalability, support for C++ and 8x the double precision performance compared to Tesla 10-series GPU computing products. NVIDIA Tesla GPUs are being used in 100s of clusters and data centers around the world, including the Nebulae cluster, currently the 2nd fastest supercomputer in the world.
In this workshop you will learn about CUDA, the Fermi architecture, and Tesla GPU Computing products. You will learn about the basics of programming GPUs using CUDA C and C++, the variety of available computational libraries for CUDA, tools for profiling and debugging CUDA applications, and approaches for optimizing CUDA parallel applications. You will also learn about CUDA-enabled desktop, workstation, and cluster computing solutions provided by XENON Systems.