Our collaborations focus on doing new science on CAM-8---which will
attract good researchers to the CA field---and on demonstrating
"breakthrough applications"---applications for which there is a
near-term promise that CAM-8's performance will offer a significant
We have been supporting collaborations by writing initial sample
applications with researchers in collaborating groups, by developing,
supporting, and modifying programming languages, utilities, and
environments for their use, and by maintaining their CAM hardware for
Present and planned scientific and application oriented collaborations
- U. S. AIR FORCE: Jeff Yepez and his group
at Phillips Laboratory are working on geophysical simulation. They
have already made significant advances in simulating phase changes
using lattice gases, and have started an initiative to build a big
CAM-8 machine. They currently have two copies of our prototype.
- MIT MEDIA LAB: Through Neil Gershenfeld and his
Physics and Media Group, we have placed a CAM-8 prototype at the Media
Lab. Projects are currently being actively pusued to employ CAM-8 for
real-time computer-generation of holograms, and for real-time video
- MIT POROUS FLOW PROJECT: Dan Rothman, Eirik
Flekkoy, and students in Rothman's group are simulating 3D porous flow
on CAM-8, using some techniques developed by (and in collaboration
with) Bruce Boghosian at Boston University.
- MIT NUMESH PROJECT: We have collaborated with
Steve Ward and Gill Pratt on clock-synchronization and
spatial-architecture issues in this project, based on CAM-8
simulations and architectural ideas. We plan to continue and expand
- BOSTON UNIVERSITY: Yaneer Bar-Yam and his group
have used a CAM-8 prototype to simulate their CA polymer models, and
have found its performance to be comparable to anything they could
manage on supercomputers.
- BOSTON UNIVERSITY: Bruce Boghosian has been
developing lattice gas models of complex fluids, such as
micro-emulsions, for which there are no know differential-equation
models. We have worked with Bruce on other CAM-8 lattice gas models,
and plan to continue in this new domain.
- LOS ALAMOS NATIONAL LABORATORY: Gary Doolen and
his group at LANL are probably the premier lattice-gas group in the
world, and they (led by Brosl Hasslacher) have acquired one of our
CAM-8 prototypes to use in their work. There are also several CA
researchers there who plan to take advantage of the machine.
- U. WISCONSIN, CORNELL U., U.C. DAVIS, COLBY
COLLEGE: David Griffeath, Bob Fisch, and a group of
mathematicians at these four institutions, have jointly acquired one
of our CAM-8 prototypes for their work on statistical properties of CA
- NORTHEASTERN UNIVERSITY: Bryant York and his
group at Northeastern have written simulations on CAM-8 to do
combinatorial searches using large collections of adjacency matrices
that are transformed in parallel. Their first simulations have our
prototype performing about on a par with their best code for an
8K-node CM-2 for this application, but their use of our machine is
still quite naive.
- UNIVERSITY OF TORONTO: Ray Kapral and Anna
Lawniczak (organizers of a recent major conference on lattice gases)
are specialists on the simulation of reaction-diffusion systems. They
have a copy of our prototype, and are currently actively developing
models on it.
- COMMUNICATIONS RESEARCH CENTER (OTTAWA): Neil
Simons and his group at CRC, a Canadian government lab, are using a
CAM-8 there to develop CA models of the electromagnetic radiation
fields around antennas.
- ELSAG-BAILEY, ITALY: The Elsag-Bailey company in
Italy is interested in acquiring a CAM-8 machine for their research
lab, for evaluation of its usefulness for document processing. We
have been working with them through Vincenzo D'Andrea, who was a
visitor with our group for over a year.
- ATR, JAPAN: Hugo DeGaris has aquired a CAM-8
machine for use in CA models of evolving neural networks.
In addition to these collaborations, we have recently had
considerable interest in practical CA modeling on CAM-8 from members
of the Mechanical, Civil, and Nuclear Engineering communities at MIT,
and collaborations with several groups there are likely.
We are currently looking for application-oriented collaborations in
the areas of medical image processing, logic simulation and
statistical mechanical simulation. In addition, we are also looking
into system-software and hardware-oriented collaborations.