UTCS Colloquium/Architecture: David Luebke/NVIDIA Research: "Graphics Hardware & GPU Computing: Past, Present, and Future," ACES 2.402, Monday, October 12, 2009, 3:30 p.m.
Type of Talk: UTCS Colloquium/ Architecture
Speaker/Af
filiation: David Luebke/NVIDIA Research
Date/Time: Monday, October 1
2, 2009, 3:30 pm to 4:30 pm
Location: ACES 2.402
Host: Steve
Keckler
Talk Title: "Graphics Hardware & GPU Computing: Pa
st, Present, and Future"
Talk Abstract:
Modern GPUs hav
e emerged as the worlds most successful parallel architecture. GPUs provi
de a level of massively parallel computation that was once the preserve of
supercomputers like the MasPar and Connection Machine. For example, NVIDIA
''s GeForce GTX 280 is a fully programmable, massively multithreaded chip
with up to 240 cores, 30,720 threads and capable of performing up to a tr
illion operations per second. The raw computational horsepower of these chi
ps has expanded their reach well beyond graphics. Today''s GPUs not only re
nder video game frames, they also accelerate physics computations, video
transcoding, image processing, astrophysics, protein folding, seismic e
xploration, computational finance, radioastronomy - the list goes on and
on. Enabled by platforms like the CUDA architecture, which provides a scal
able programming model, researchers across science and engineering are acc
elerating applications in their discipline by up to two orders of magnitude
. These success stories, and the tremendous scientific and market opportun
ities they open up, imply a new and diverse set of workloads that in turn
carry implications for the evolution of future GPU architectures.
In this talk I will discuss the evolution of GPUs from fixed-function gra
phics accelerators to general-purpose massively parallel processors. I will
briefly motivate GPU computing and explore the transition it represents in
massively parallel computing: from the domain of supercomputers to that of
commodity "manycore" hardware available to all. I will discuss
the goals, implications, and key abstractions of the CUDA architecture.
Finally I will close with a discussion of future workloads in games, high-
performance computing, and consumer applications, and their implications
for future GPUs including the newly announced "Fermi" architect
ure.
Speaker Bio:
Dr. David Luebke
Senior Manager,
NVIDIA Research
NVIDIA Corporation
http://luebke.us
D
avid Luebke helped found NVIDIA Research in 2006 after eight years on the f
aculty of the University of Virginia. Luebke received his Ph.D. under Fred
Brooks at the University of North Carolina in 1998. His principal research
interests are GPU computing and real-time computer graphics. Luebke''s hono
rs include the NVIDIA Distinguished Inventor award, the NSF CAREER and DOE
Early Career PI awards, and the ACM Symposium on Interactive 3D Graphics
"Test of Time Award". Dr. Luebke has co-authored a book, a SIG
GRAPH Electronic Theater piece, a major museum exhibit visited by over 110
,000 people, and dozens of papers, articles, chapters, and patents.
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The Computer Architecture Seminar Series is sponsored jointly
by the
Departments of Computer Science and Electrical & Computer
Engineering
and is supported by a grant from IBM.
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