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{\Huge Applicant's} \\
{\Huge Statement} \\
{\Huge of} \\
{\Huge Objectives}
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French, Robert Scott \\
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EECS \\
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M.S. Degree
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My primary interests in computer science relate to computer
achitecture and compiler technology.  I am especially interested in
parallel processing systems and the compilers required to make
effective use of parallelism.  I have participated in several projects
that have increased my experience with architecture and compiler
issues.

My interest in computer achitecture was first kindled in the design
contest for 6.004.  My two-person team built the first working 16-bit
Maybe machine from two lab kits.  As part of the design, I had to
implement a microcode assembler, a microcode simulator, and various
levels of logic simulators.  I also had to make design decisions about
the hardware, analyzing the tradeoffs involved.

My next architecture project was for 6.111, in which my partner and I
implemented a hardware simulator for a highly-parallel, fine-grained
optical computer.  The system was based on recent research at Bell
Labs in ``computational origami,'' a simple method of simulating an
arbitrarily large number of processors using a small set of processing
elements with long delay lines.  As part of the project I designed a
compiler and a placement and routing system for allocating processors.
I presented a paper on the algorithm at the MIT-ACM Undergraduate
Computer Science Conference.

My most recent experience involves my thesis, in which I am
investigating the use of fractals to measure process locality in
distributed systems.  I hope to extend this research and develop new
algorithms for efficient processor allocation.

I have also learned a great deal about distributed systems from my
work at Project Athena.  Among other things, I was one of the primary
designers of the Zephyr distributed notification system.  Zephyr
consists of an efficient, UDP-based protocol connecting distributed
databases and message forwarders.

I hope to continue my study of architecture and compiler technology in
graduate school.  I feel that MIT is an ideal place to study these
fields since it already supports many projects involving distributed
processing, dataflow, and language theory.

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