The NVISION 08 event in San Jose next week is
pulling in experts and practitioners in the field
from all over the world. The NVISION 08 visual
computing conference, being held in San Jose, CA
on 25-27 August, includes a CUDA Developer
Conference for software developers interested in
accelerating their applications using the NVIDIA
CUDA software development environment, which is
based on the industry-standard C programming

With CUDA technology becoming a standard in the
computing market, the CUDA Developer Conference
is a must-attend event for university researchers
and commercial software developers. Sessions are
designed for both experienced CUDA programmers as
well as those new to the technology.

One of the highlights will be a session by
William Dorland of the University of Maryland and
his work in porting simulations of black hole
dynamics, as well as ported plasma turbulence and
n-body dynamics to clusters of NVIDIA GPUs, using
CUDA technology. Modest-size codes, of a few
thousand lines, were ported to the GPU hardware
in less than a day with speedups of 25-30 times
that achieved with traditional architectures. By
moving to clusters of high-performance GPUs,
Dorland expects to be able to produce results on
an inexpensive, many-teraflop local cluster.

Other highlights of the event include:

° A panel discussion on the future of parallel
and GPU computing, moderated by Dr. David Kirk,
chief scientist at NVIDIA, and featuring Dr.
Wen-mei Hwu of the University of Illinois at
Urbana-Champaign, Satoshi Matsuoka of the Tokyo
Institute of Technology, and Kathy Yelick of the
Lawrence Berkeley National Laboratory.

° A session by John Stone of the University of
Illinois at Urbana-Champaign, on accelerating
computational biology programs up to 100 times
using CUDA technology.

° A roundtable discussion on how to teach
parallel programming using CUDA technology, led
by Dr. Wen-mei Hwu of the University of Illinois
at Urbana-Champaign.

° A session on next-generation computer vision
using CUDA technology, by Joseph Stam of NVIDIA.

The CUDA Developer Conference will also include
workshops on CUDA development tools and
libraries, basic and advanced training on how to
develop applications using CUDA technology, and
demonstrations and discussions of the performance
gains and cost savings achieved. Participants in
these sessions include leading industry and
academic experts in the fields of molecular
dynamics and computational chemistry;
computational finance and quantitative risk
analysis; geophysical and seismic processing;
video, imaging, and computer vision; astrophysics
and astronomy; and more.
Attendees should not miss this great opportunity
to meet their peers in compute-intensive fields
who have achieved significant performance and
cost benefits and who, by leveraging CUDA
technology and the parallel architecture of the
GPU, have reached research and business goals
they could not have otherwise attained.

Registration for the NVISION 08 conference is
open now. Complete information on the CUDA
Developer Conference, including how to register,
can be found at
For more information on NVIDIA CUDA technology,