Few fixes

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Théophile Bastian 2017-08-29 00:02:50 +02:00
parent 6e9cec0c32
commit f2a312cd17
1 changed files with 22 additions and 26 deletions

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@ -435,7 +435,7 @@ At this point, we can define the \emph{signature of order $n$} ($n \in
+ \text{IO adjacency}
+ \hspace{-2em}\sum\limits_{C_i \in \,\text{neighbours of inputs}}
\hspace{-2em}\sig_n(C_i) \hspace{1em}
- \hspace{-2em}\sum\limits_{C_o \in \,\text{neighbours of inputs}}
- \hspace{-2em}\sum\limits_{C_o \in \,\text{neighbours of outputs}}
\hspace{-2em}\sig_n(C_o)
\end{align*}
@ -459,11 +459,11 @@ lazy.
To keep those memoized values up to date whenever the structure of the circuit
is changed (since this is meant to be integrated in a programming language, fl,
meaning the structure of the circuit will possibly be created, checked for
signature, altered, then checked again), each circuit keeps track of a
``timestamp'' of last modification, which is incremented whenever the circuit
or its children are modified. A memoized data is always stored alongside with a
timestamp of computation, which invalidates a previous result when needed.
a standard workflow will possibly be create a circuit, check its signature,
alter it, then check again), each circuit keeps track of a ``timestamp'' of
last modification, which is incremented whenever the circuit or its children
are modified. A memoized data is always stored alongside with a timestamp of
computation, which invalidates a previous result when needed.
One possible path of investigation for future work, if the computation turns
out to be still too slow in real-world cases --- which looks unlikely, unless
@ -481,11 +481,11 @@ Group equality itself is handled as a simple backtracking algorithm, trying to
establish a match (an isomorphism, that is, a permutation of the gates of one
of the groups) between the two groups given.
The gates of the two groups are matched by equal signatures, equal number of
inputs and outputs, based on the signature of default order (that is, 2). A few
checks are made, \eg{} every matching group must have the same size on both
sides (if not, then, necessary, the two groups won't match). Then, the worst
case of number of permutations to check is evaluated.
The gates of the two groups are matched by equal number of inputs and outputs
and equal signatures --- based on the signature of default order (that is, 2).
A few checks are made, \eg{} every matching group must have the same size on
both sides (if not, then, necessarily, the two groups won't match). Then, the
worst case of number of permutations to check is evaluated.
If this number is too high, the signature order will be incremented, and the
matching groups re-created accordingly, until a satisfyingly low number of
@ -684,8 +684,13 @@ occur).
\subsection{Implementation optimisations}
\paragraph{Pre-check.} The needle will, in most cases, not be found at all in
a given hierarchy group of the haystack. To avoid wasting computation time, we
first check that every signature present in the needle is present at least as
many times in the haystack. This simple check saved a lot of time.
\paragraph{Initial permutation matrix.} The matrix is first filled according to
the signatures matches. Note that only signatures of order 0 --- \ie{} the
the signatures' matches. Note that only signatures of order 0 --- \ie{} the
inner data of a vertex --- can be used here: indeed, we cannot rely on the
context here, since there can be some context in the haystack that is absent
from the needle, and we cannot check for ``context inclusion'' with our
@ -698,11 +703,6 @@ signatures. Thus, two circuits cannot be matched if this condition is not
respected for each pair of corresponding wires of those circuits, and their
corresponding cell in the permutation matrix can be nulled.
\paragraph{Pre-check.} The needle will, in most cases, not be found at all in
a given hierarchy group of the haystack. To avoid wasting computation time, we
first check that every signature present in the needle is present at least as
many times in the haystack. This simple check saved a lot of time.
\paragraph{Conversion to adjacency matrix.} The internal structures and graphs
are represented as inherited classes of \lstcpp{CircuitTree}, connected to
various \lstcpp{WireId}s. Thus, there is no adjacency matrix easily available,
@ -731,8 +731,7 @@ the usual test set.
\textbf{Ordering method} & \textbf{Run time (ms)} & \textbf{Loss (\%)} \\
Wires by degree decreasing, then gates as they come & 48.8 & --- \\
As they come, gates then wires & 49.1 & 0.6\% \\
Wires by degree decreasing, then gates by degree decreasing & 49.3
& 1.0\% \\
By degree decreasing, wires then gates & 49.3 & 1.0\% \\
As they come, wires then gates & 49.3 & 1.0\% \\
Gates as they come, then wires by degree decreasing & 49.5 & 1.4\% \\
By degree decreasing, all mixed & 49.5 & 1.4\% \\
@ -834,11 +833,14 @@ afford really high order signatures (\eg{} 40 or 50, which already means that
the diameter of the group is 40 or 50) without having a real impact on the
computation time.
This linearity means that we can increase the signature order without too much
impact, as we do when computing a group equality.
\paragraph{Equality.} To test the circuit group equality, a small piece of
code takes a circuit, scrambles it as much as possible
--- without altering its structure ---, \eg{} by renaming randomly its parts,
by randomly changing the order of the circuits and groups, \ldots The circuit
by randomly changing the order of the circuits and groups, \ldots{} The circuit
is then matched with its unaltered counterpart.
For the processor described above, it takes about \textbf{313\,ms} to
@ -940,12 +942,6 @@ time; and forced me to try to have a code as clean as possible, challenging me
on small details that were easy to implement, but hard to implement in an
understandable and bug-proof way.
It also diversified my experience as a student in laboratories, since my only
other experience was from my 3rd year of Bachelor's degree internship in
Cambridge.
\todo{Find better}
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