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\begin{description}

\item {\bf Name:} Kathryn S McKinley  \hfill {\bf Date:} September 26, 2009.

\item {\bf Paper:} (Copy the citation from the webpage). Backus,
  Beeber, Best, Goldberg, Haibt, Herrick, Nelson, Sayre, Sheridan,
  Stern, Ziller, Hughes, and Nutt,``The Fortran Automatic Coding
  System'' Proceedings of the Western Joint Computer Conference,
  pp. 187-198, Los Angeles, CA, February, 1957.

\end{description}
 
\paragraph{Summary:} \emph{(The summary should contain a short description
of the problem, solution, and meaning of the paper. For example, for
this paper you might write the following, but without the
parenthetical problem, solution, and meaning key words.)} \\

(Problem) In the 1950s, computer languages and architectures were in a
very primitive state. In particular, there were no high level
languages, only assembly languages. (Solution) Backus and his
colleagues introduced the first programming language (Fortran) and
its compiler for translating from this high-level language to machine
language.  (Meaning) Before these inventions, computers could only be
programmed using assembly code.  By inventing the first high-level
language and its compiler, this paper changed the landscape of
computing by offering a much better way for people to interact with
computers.

\paragraph{Strengths:} (One to three sentences on strengths of the
paper.)  The paper shows for the first time how to translate from
high-level Fortran (a language that uses procedures, loops, arrays,
and scalar variables) to an intermediate form, perform optimizations,
and then translate to assembly code. It invented control-flow graphs
and the first redundancy elimination optimizations.

\paragraph{Weaknesses:} (One to three sentences on weaknesses of the
paper.)  The paper's weaknesses are that it does not discuss or prove
why or if it is always possible to perform this translation.  The paper
does not present any experiments to explain the effectiveness of the
approach.

\paragraph{Analysis I:} (Discuss in detail some interesting aspect of
the paper in detail.)  \\

This paper totally changed the field of computing.  In this era,
hardware was extremely expensive and only a few people had access or
the ability to program it.  This paper set the stage for dramatically
improving the productivity of programmers.  All high-level programming
evolved from this starting point, and this paper started the
programming language implementation field (i.e., compilers,
interpreters, etc.).  It is truly amazing how much compiler technology
was invented and predicted by this single paper, e.g., basic blocks,
frequency profiling, and high-level intermediate representations.

For example, this paper introduces the \emph{separation of concerns}
principle. Consider register allocation. The compiler  assumes
an infinite temporary register set during the rest of compilation,
which simplifies the rest of the compiler.  It does not have to
consider how optimizations interact with register allocation early in
compilation.  In their system, towards the end of compilation, the
compiler assigns the 3 registers of the 701 based on execution
frequency from profiling.  It computes basic block live ranges and
finds interferences on the fly.  This powerful abstraction is very
useful for ignoring resource constraints and simplifying other parts
of the compiler.  There are some places where it however breaks down,
such as embedded, VLIW, EDGE, and other architectures which have more
than one resource constraint.  For example, on VLIW machines which
must carefully deal with both register allocation and instruction
scheduling in a fixed width instruction.  Which resource do you do
first? And how does it constrain the others?  This problem remains an
important one in the literature for many situations, and the only
solutions, of which I am aware, have been iteration~\cite{CRAIG,
  maher}, which is not completely satisfying.

(Aside: Brasier et al. preset a solution to register allocation and
scheduling~\cite{CRAIG}.  They iterate between scheduling, which may
add register pressure, and register allocation.  If the schedule does
not require any \emph{spilling} (spilling means a value comes from
loads and stores instead of a register access), they are done,
otherwise, they constrain the schedule to limit increases to live
ranges and thus obtain a register allocation with less or no spills.)

\paragraph{Analysis II:} (Discuss a second aspect of the paper.)  This
paper did not include any experimental results.  A very interesting
experiment would have been to assign \emph{K/2} problems to \emph{N}
programmers, half performed in assembly and half in Fortran, and then
assigned an additional \emph{K/2} problems and switch the
programmers. Since each programmer does 1/2 in each language, this
controls a bit for individual variation.  Then, the researchers could
measure programming time (productivity), i.e., the time to a correct
solution in the two languages. The researchers could also measure
execution time, comparing how fast the resulting programs execute, to
determine, the differences if any.  One should also use different
problem sizes, and compare if any differences are correlated to
program size.  Writing a short program that solves a small problem in
assembly should be is easier than writing a long program that solves a
harder problem.  Other interesting experiments would include how much
each of the optimizations improved performance, to show the impact of
register allocation, common subexpression elimination, etc.


\subsection*{Other Advice.}

\paragraph{Analysis Topics.} Below are some suggested topics to write
about, but do not feel constrained by this list.

\begin{itemize}
\setlength{\itemsep}{0ex}
\item Describe an experiment that would help explain/explore the
  results better.
  \item How did it impact the field?
  \item What questions remain open?
  \item What experiments are missing?
  \item How does it really relate the previous research?
  \item Future directions.
  \item Some examples for which it will or will not work.
  \item Could a similar paper be published today?
  \item Ideas or thoughts it provoked.
  \item Other interesting commentary.
\end{itemize}



\paragraph{Hints on latex.} To make this document in to a
PostScript file perform the following Unix commands:

\begin{verbatim}
  pdflatex critique
  bibtex critique
  pdflatex critique
  pdflatex critique
\end{verbatim}

\noindent This sequence will produce a file called ``critique.pdf''
and some other auxiliary files.  You can learn more about ``latex''
on the web \url{http://www.latex-project.org/} and/or buy a book on it
for reference.  If you prefer to use Microsoft Word or another word processor, you may use it.

\paragraph{Writing well.}
Your critiques should be clear and grammatically correct.  I highly
recommend you read books on writing well. I like Joseph M. Williams
and his books, and in particular his book called ``Style: The Basics
of Clarity and Grace'' \cite{Williams:09}.

Please use the active voice: For example, the following is clearer
``Brasier et al./\ built a compiler.'' than ``A compiler was built.''
When writing about computer systems, you should identify the subject
and the time (i.e., when the action takes place).  For example, likely
subjects include the compiler, the microarchitecture, the virtual
machine, and the operating system.  Potential times are: ahead-of-time
or just-in-time dynamic compilation, design time, and runtime.

Another pet peeve of mine is to never use ``this'' as the subject of
your sentence.  For example, write ````Brasier et al.  built a
compiler.  This compiler iterated scheduling and register allocation
to solve resource constraint problems.'' Instead of writing, ``A
compiler was built. This iterated scheduling and register allocation
to solve resource constraint problems.''  Qualify the ``this'' with a
noun.  Usually ``this'' is referring back to something in the previous
sentence and you should make it explicit which part of the sentence it
is.

\bibliographystyle{abbrv}
\bibliography{critique}

\end{document}

