Efficient Computing in the Many-Core Era * 4:15PM, Wed November 1, 2006 in Gates B03

[David Farber <dave () farber net>]

Begin forwarded message:

From: allison () stanford edu
Date: October 28, 2006 11:23:20 AM EDT
To: farber () cis upenn edu
Subject: [EE CS Colloq] Efficient Computing in the Many-Core Era *  
4:15PM, Wed November 1, 2006 in Gates B03
Reply-To: ee380 () shasta stanford edu



             Stanford EE Computer Systems Colloquium

               4:15PM, Wednesday, November 1, 2006
       NEC Auditorium, Gates Computer Science Building B03
                   http://ee380.stanford.edu[1]

                        Stream Processing

Topic:    Efficient Computing in the Many-Core Era

Speaker:  Bill Dally
          Stanford University, Department of Computer Science

About the talk:

We are rapidly moving into an era when microprocessors (and SoCs)
will have 10s of processors on a single die. In this "many-core"
era, we are less concerned with the architecture of individual
processors and more concerned with how they are tied together. In
particular we are concerned with how on-chip memory is organized
to optimize use of the limited off-chip bandwidth and how long
off-chip latency is "hidden" from computation. Parallelism can
take advantage of the plentiful and inexpensive arithmetic units
made possible by modern VLSI technology. However, without
locality, bandwidth quickly becomes a bottleneck. Bandwidth, not
arithmetic is the critical resource in a modern computing system.
Stream programming simplifies the exploitation of both
parallelism and locality. A stream program naturally exposes
parallelism across stream elements and kernels. Locality is also
exposed - both within and between kernels. This talk will discuss
exploitation of paralleism and locality with examples drawn from
the Imagine and Merrimac projects and from three generations of
stream programming systems.

About the speaker:

Bill Dally is the Willard R. and Inez Kerr Bell Professor of
Engineering and the Chairman of the Department of Computer
Science at Stanford University. Bill and his group have developed
system architecture, network architecture, signaling, routing,
and synchronization technology that can be found in most large
parallel computers today. While at Bell Telephone Laboratories
Bill contributed to the design of the BELLMAC32 microprocessor
and designed the MARS hardware accelerator. At Caltech he
designed the MOSSIM Simulation Engine and the Torus Routing Chip
which pioneered wormhole routing and virtual-channel flow
control. While a Professor of Electrical Engineering and Computer
Science at the Massachusetts Institute of Technology his group
built the J-Machine and the M-Machine, experimental parallel
computer systems that pioneered the separation of mechanisms from
programming models and demonstrated very low overhead
synchronization and communication mechanisms. At Stanford
University his group has developed the Imagine processor, which
introduced the concepts of stream processing and partitioned
register organizations. Bill has worked with Cray Research and
Intel to incorporate many of these innovations in commercial
parallel computers, with Avici Systems to incorporate this
technology into Internet routers, co-founded Velio Communications
to commercialize high-speed signaling technology, and co-founded
Stream Processors, Inc. to commercialize stream processor
technology. He is a Fellow of the IEEE, a Fellow of the ACM and
has received numerous honors including the IEEE Seymour Cray
Award and the ACM Maurice Wilkes award. He is chairman of Stream
Processors and on the board of directors of Portal Player. He
currently leads projects on high-speed signaling, computer
architecture, network architecture, and programming systems. He
has published over 170 papers in these areas and is an author of
the textbooks, Digital Systems Engineering and Principles and
Practices of Interconnection Networks.

Contact information:

Bill Dally
dally () stanford edu


Embedded Links:
[ 1 ]    http://ee380.stanford.edu


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