Back
to Main Page
Workshop Program
Registration
Travel Information
Sponsors
Local Guide
Steering
Committee
Workshop
Contact
Call
for Posters
|
|
List of Invited
Panelists for New Commodity Architectures
- ATI
Technologies Inc.
Mark Segal
The new X1K series of GPUs from ATI provide many features
useful for high-performance numerical computation including
fine-grained flow control and a tunable latency-hiding memory
subsystem. The top-of-the-line is the X1900 XT, which has 48
ALU processors operating in parallel. Modifying graphics APIs
could expose the features of these and other GPUs more clearly,
improving the performance and speeding development of non-graphics
application.
|
- IBM
Corporation
Ashwini Nanda
Cell BE Based Systems and Applications
The Cell BE processor developed jointly by Sony, Toshiba
and IBM primarily for next generation game consoles, packs a
high level of floating point, vector and integer streaming performance
in one chip that is an order of magnitude greater than traditional
commodity microprocessors. IBM Cell Blade products are high
volume building blocks for high performance, scale out servers,
and targeted toward a variety of interactive digital media,
real time, streaming and supercomputing applications. This talk
will discuss our Cell based systems concepts, vision and several
early application prototypes and results.
|
- Intel
Corporation
Pradeep K. Dubey
Teraflops
for the Masses: Killer Apps of Tomorrow
The
wave of digitization is all around us. While none of us has
a crystal ball to predict the future “killer app”
(any new application with universal appeal), it is our belief
that the next round of applications will be about solving the
data explosion problem for end-users, a problem of growing concern
for both enterprise and home users. As one may recall, about
a decade ago multimedia processing became feasible on general-purpose
processors, and soon gained significant prominence due to its
impact on platform architecture and usage models. We are now
at a similar juncture. Processor performance has reached a level
where we will soon be able to do good enough real-time simulations
of some natural physical phenomena and processes on mass computing
platforms. This offers unprecedented innovation opportunities
(and challenges) for a computing platform optimized for this
class of applications.
|
- NVIDIA
Corporation
Mark Harris
General-purpose computation
on GPUs has been a popular topic for academic research for several
years, driven by the high parallelism, increasing programability,
and low cost of GPUs relative to other processors. On the latest
NVIDIA Quadro and GeForce GPUs, this research is now starting
to mature to the point of usability in commercial and industrial
applications. Through partnerships with software developers,
NVIDIA is helping bring applications to market in diverse areas
including medical imaging, finite element simulation, and physics
simulation in games. Along the way, we're learning important
lessons about building software for heterogeneous systems of
multiple processors. In the newly emerging market of commodity
parallel computing, efficient applications must use all computational
resources available in a system, including multiple GPUs and
multiple CPU cores.
|
- Sun
Microsystems
Rao Shoaib
Niagara: A chip multithreaded processor
Niagara is the new generation of processor from SUN
which has multicore and multiple H/W threads per core. The current
shipping versions are 8 core with 4 threads per core. Future
versions will also have the NIC on chip as well and with Solaris
running on this processor, we can have interesting ways of virtualizing
the chip and network stack. The challanges are getting the traditional
applications to take advantage
of this architecture.
|
|
