Author: Hakan Ardo <[email protected]>
Branch: extradoc
Changeset: r4660:1e42811268b4
Date: 2012-08-17 12:06 +0200
http://bitbucket.org/pypy/extradoc/changeset/1e42811268b4/
Log: kill a few benchmarks
diff --git a/talk/dls2012/licm.pdf b/talk/dls2012/licm.pdf
index
e516d4099647a7770286d639bacf053aeba81fdd..255bf8b7c69d7d4f3312c2829bafbe0269cd4264
GIT binary patch
[cut]
diff --git a/talk/dls2012/paper.tex b/talk/dls2012/paper.tex
--- a/talk/dls2012/paper.tex
+++ b/talk/dls2012/paper.tex
@@ -925,19 +925,19 @@
\hline
SparseMatMult(100000,1000000,1024) & 236.93 & 17.01 $\pm$ 0.025 & 8.75 $\pm$
0.149 & 7.19 $\pm$ 0.016 & 2.42 $\pm$ 0.010 & 1.20 $\pm$ 0.053\\
\hline
-\hline
-conv3(1e5) & 50.14 & 1.09 $\pm$ 0.022 & 0.49 $\pm$ 0.028 & 0.67 $\pm$ 0.010 &
0.12 $\pm$ 0.010 & 0.52 $\pm$ 0.084\\
+%\hline
+%conv3(1e5) & 50.14 & 1.09 $\pm$ 0.022 & 0.49 $\pm$ 0.028 & 0.67 $\pm$ 0.010 &
0.12 $\pm$ 0.010 & 0.52 $\pm$ 0.084\\
\hline
conv3(1e6) & 49.20 & 1.13 $\pm$ 0.043 & 0.51 $\pm$ 0.008 & 0.70 $\pm$ 0.008 &
0.18 $\pm$ 0.000 & 0.60 $\pm$ 0.064\\
\hline
conv3x3(1000,1000) & 138.95 & 0.70 $\pm$ 0.007 & 0.20 $\pm$ 0.009 & 0.49 $\pm$
0.010 & 0.09 $\pm$ 0.010 & 0.17 $\pm$ 0.079\\
\hline
-conv3x3(1000000,3) & 139.81 & 0.70 $\pm$ 0.005 & 0.21 $\pm$ 0.006 & 0.53 $\pm$
0.008 & 0.13 $\pm$ 0.009 & 0.19 $\pm$ 0.061\\
-\hline
-conv5(1e5) & 74.65 & 1.22 $\pm$ 0.009 & 0.64 $\pm$ 0.005 & 0.84 $\pm$ 0.006 &
0.17 $\pm$ 0.010 & 0.55 $\pm$ 0.047\\
-\hline
-conv5(1e6) & 77.94 & 1.26 $\pm$ 0.009 & 0.68 $\pm$ 0.014 & 0.87 $\pm$ 0.010 &
0.21 $\pm$ 0.013 & 0.58 $\pm$ 0.049\\
-\hline
+%conv3x3(1000000,3) & 139.81 & 0.70 $\pm$ 0.005 & 0.21 $\pm$ 0.006 & 0.53
$\pm$ 0.008 & 0.13 $\pm$ 0.009 & 0.19 $\pm$ 0.061\\
+%\hline
+%conv5(1e5) & 74.65 & 1.22 $\pm$ 0.009 & 0.64 $\pm$ 0.005 & 0.84 $\pm$ 0.006 &
0.17 $\pm$ 0.010 & 0.55 $\pm$ 0.047\\
+%\hline
+%conv5(1e6) & 77.94 & 1.26 $\pm$ 0.009 & 0.68 $\pm$ 0.014 & 0.87 $\pm$ 0.010 &
0.21 $\pm$ 0.013 & 0.58 $\pm$ 0.049\\
+%\hline
dilate3x3(1000,1000) & 137.52 & 4.35 $\pm$ 0.014 & 3.91 $\pm$ 0.037 & 0.48
$\pm$ 0.014 & 0.09 $\pm$ 0.006 & 0.17 $\pm$ 0.061\\
\hline
sobel(1000,1000) & 104.02 & 0.49 $\pm$ 0.009 & 0.21 $\pm$ 0.004 & 0.60 $\pm$
0.012 & 0.24 $\pm$ 0.018 & 0.17 $\pm$ 0.061\\
@@ -985,9 +985,9 @@
${\bf a} = \left(a_1, \cdots, a_n\right)$ and a kernel ${\bf k} = \left(k_1,
k_2, k_3\right)$ using
$b_i = k_3 a_i + k_2 a_{i+1} + k_1 a_{i+2}$ for $1 \leq i \leq n-2$. Both the
output vector, $\bf b$,
and the input vectors, $\bf a$ and $\bf k$, are allocated prior to running the
benchmark. It is executed
-with $n=10^5$ and $n=10^6$.
-\item {\bf conv5}$\left(n\right)$: one-dimensional convolution with fixed
kernel-size $5$. Similar to conv3, but with
-${\bf k} = \left(k_1, k_2, k_3, k_4, k_5\right)$. The enumeration of the
elements in $\bf k$ is still
+with $n=10^5$.
+%\item {\bf conv5}$\left(n\right)$: one-dimensional convolution with fixed
kernel-size $5$. Similar to conv3, but with
+%${\bf k} = \left(k_1, k_2, k_3, k_4, k_5\right)$. The enumeration of the
elements in $\bf k$ is still
hardcoded into the implementation making the benchmark consist of a single
loop too.
\item {\bf conv3x3}$\left(n,m\right)$: two-dimensional convolution with kernel
of fixed
size $3 \times 3$ using a custom class to represent two-dimensional
@@ -1004,7 +1004,7 @@
\end{equation}
for $2 \leq i \leq m-1$ and $2 \leq j \leq n-1$.
The memory for storing the matrices are again allocated outside the benchmark
and $(n,m)=(1000,1000)$
-as well as $(n,m)=(1000000,3)$ was used.
+ was used.
\item {\bf dilate3x3}$\left(n\right)$: two-dimensional dilation with kernel of
fixed
size $3 \times 3$. This is similar to convolution but instead of
summing over the terms in Equation~\ref{eq:convsum}, the maximum over those
terms is taken. That places a
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