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authorNunigan <michael.schmid2@ost.ch>2021-08-03 22:08:02 +0200
committerNunigan <michael.schmid2@ost.ch>2021-08-03 22:08:02 +0200
commite5da5157fb61cdb006f3f50a2b3bd3b922644f1f (patch)
treedb84132c4dfbe94692a153895fb83eb84d3ed402 /buch
parentupdate (diff)
downloadSeminarMatrizen-e5da5157fb61cdb006f3f50a2b3bd3b922644f1f.tar.gz
SeminarMatrizen-e5da5157fb61cdb006f3f50a2b3bd3b922644f1f.zip
update
Diffstat (limited to 'buch')
-rw-r--r--buch/papers/multiplikation/code/MM.py53
-rw-r--r--buch/papers/multiplikation/code/meas_1024.pdfbin18813 -> 18813 bytes
-rw-r--r--buch/papers/multiplikation/code/meas_4096.pdfbin0 -> 12952 bytes
-rw-r--r--buch/papers/multiplikation/code/meas_4096.txt0
-rw-r--r--buch/papers/multiplikation/images/c_meas_4096.pdfbin15865 -> 17400 bytes
-rwxr-xr-xbuch/papers/multiplikation/loesungsmethoden.tex73
6 files changed, 101 insertions, 25 deletions
diff --git a/buch/papers/multiplikation/code/MM.py b/buch/papers/multiplikation/code/MM.py
index ee6f598..47bd6ab 100644
--- a/buch/papers/multiplikation/code/MM.py
+++ b/buch/papers/multiplikation/code/MM.py
@@ -132,6 +132,10 @@ def winograd2(A, B):
return C
def test_perfomance(n):
+
+ import mkl
+ mkl.set_num_threads(1)
+
t_mm = []
t_mm_dc = []
t_mm_strassen = []
@@ -144,21 +148,21 @@ def test_perfomance(n):
# A = np.random.randint(-100, 100,(i, i))
# B = np.random.randint(-100, 100,(i, i))
- start = time.time()
- C3 = strassen(A, B)
- t_mm_strassen.append(time.time() - start)
+ # start = time.time()
+ # C3 = strassen(A, B)
+ # t_mm_strassen.append(time.time() - start)
- start = time.time()
- C1 = MM(A, B)
- t_mm.append(time.time() - start)
+ # start = time.time()
+ # C1 = MM(A, B)
+ # t_mm.append(time.time() - start)
- start = time.time()
- C2 = MM_dc(A, B)
- t_mm_dc.append(time.time() - start)
+ # start = time.time()
+ # C2 = MM_dc(A, B)
+ # t_mm_dc.append(time.time() - start)
- start = time.time()
- C4 = winograd2(A, B)
- t_wino.append(time.time() - start)
+ # start = time.time()
+ # C4 = winograd2(A, B)
+ # t_wino.append(time.time() - start)
start = time.time()
C = A@B
@@ -169,10 +173,10 @@ def test_perfomance(n):
plt.rc('axes', labelsize=23)
plt.rc('xtick', labelsize=23)
plt.rc('ytick', labelsize=23)
- plt.plot(n, t_mm, label='Standard', lw=5)
- plt.plot(n, t_mm_dc, label='Divide and conquer', lw=5)
- plt.plot(n, t_mm_strassen, label='Strassen', lw=5)
- plt.plot(n, t_wino, label='Winograd', lw=5)
+ # plt.plot(n, t_mm, label='Standard', lw=5)
+ # plt.plot(n, t_mm_dc, label='Divide and conquer', lw=5)
+ # plt.plot(n, t_mm_strassen, label='Strassen', lw=5)
+ # plt.plot(n, t_wino, label='Winograd', lw=5)
plt.plot(n, t_np, label='NumPy A@B', lw=5)
# plt.xscale('log', base=2)
plt.legend()
@@ -182,10 +186,10 @@ def test_perfomance(n):
plt.tight_layout()
# plt.yscale('log')
plt.legend(fontsize=19)
- plt.savefig('meas_' + str(max(n))+ '.pdf')
- arr = np.array([n, t_mm, t_mm_dc, t_mm_strassen, t_wino, t_np])
- np.savetxt('meas_' + str(max(n))+ '.txt',arr)
- return arr
+ # plt.savefig('meas_' + str(max(n))+ '.pdf')
+ # arr = np.array([n, t_mm, t_mm_dc, t_mm_strassen, t_wino, t_np])
+ # np.savetxt('meas_' + str(max(n))+ '.txt',arr)
+ return t_np
def plot(num):
@@ -213,6 +217,7 @@ def plot(num):
return arr
def plot_c_res(ave, num):
+
MM = np.loadtxt("meas/MM.txt", delimiter=',')
winograd = np.loadtxt("meas/winograd.txt", delimiter=',')
blas = np.loadtxt("meas/blas.txt", delimiter=',')
@@ -277,11 +282,11 @@ def plot_c_res(ave, num):
# test%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if __name__ == '__main__':
- plot_c_res(1, 4096)
+ # plot_c_res(1, 4096)
- # plot(1024)
- # n = np.logspace(1,10,10,base=2,dtype=(np.int))
+ # arr = plot(1024)
+ n = np.logspace(1,12,12,base=2,dtype=(np.int))
# n = np.arange(1,50,2)
# A = np.random.randint(-10, 6, (5,3))
# B = np.random.randint(-10, 6, (3,5))
@@ -292,7 +297,7 @@ if __name__ == '__main__':
# print(C_test)
# print(np.equal(C, C_test))
- # t_np = test_perfomance(n)
+ t_np = test_perfomance(n)
# C = strassen(A, B)
# C_test = A@B
diff --git a/buch/papers/multiplikation/code/meas_1024.pdf b/buch/papers/multiplikation/code/meas_1024.pdf
index 70c7ec1..3312420 100644
--- a/buch/papers/multiplikation/code/meas_1024.pdf
+++ b/buch/papers/multiplikation/code/meas_1024.pdf
Binary files differ
diff --git a/buch/papers/multiplikation/code/meas_4096.pdf b/buch/papers/multiplikation/code/meas_4096.pdf
new file mode 100644
index 0000000..e889d17
--- /dev/null
+++ b/buch/papers/multiplikation/code/meas_4096.pdf
Binary files differ
diff --git a/buch/papers/multiplikation/code/meas_4096.txt b/buch/papers/multiplikation/code/meas_4096.txt
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/buch/papers/multiplikation/code/meas_4096.txt
diff --git a/buch/papers/multiplikation/images/c_meas_4096.pdf b/buch/papers/multiplikation/images/c_meas_4096.pdf
index 547d794..304015a 100644
--- a/buch/papers/multiplikation/images/c_meas_4096.pdf
+++ b/buch/papers/multiplikation/images/c_meas_4096.pdf
Binary files differ
diff --git a/buch/papers/multiplikation/loesungsmethoden.tex b/buch/papers/multiplikation/loesungsmethoden.tex
index 8a95dd5..780cbf3 100755
--- a/buch/papers/multiplikation/loesungsmethoden.tex
+++ b/buch/papers/multiplikation/loesungsmethoden.tex
@@ -358,10 +358,81 @@ Folgende Algorithmen wurden jweiles in \texttt{C} und \texttt{Python} implementi
\item \textit{Devide and Conquer} Matrizenmultiplikation
\item Strassen's Matrizenmultiplikation
\item Winograd's Matrizenmultiplikation
- \item \texttt{CBLAS} Matrizenmultiplikation in \texttt{C}
+ \item \texttt{BLAS} Matrizenmultiplikation in \texttt{C}
\item \texttt{Numpy} Matrizenmultiplikation in \texttt{Python}
\end{itemize}
+Der Code kann im dazugeh\"orgien \textit{GitHub} Repository gefunden werden.
+
+\begin{table}
+ \begin{center}
+ \begin{tabular}{l l l l l l}
+ \hline
+ \hline
+ \textbf{n} & \textbf{MM (\textit{s})} & \textbf{MM DC (\textit{s})} & \textbf{Strassen (\textit{s})} & \textbf{Winograd (\textit{s})} & \textbf{BLAS (\textit{s})} \\
+ \hline
+ \multicolumn{6}{c}{} \\
+ \textbf{32} & 0.000081 &0.000594 & 0.00047& 0.00010 & 0.000022 \\
+ \textbf{64} & 0.00065 & 0.0042& 0.0033& 0.00065& 0.00017 \\
+ \textbf{128} & 0.0055 & 0.036& 0.024& 0.0052 & 0.0012 \\
+ \textbf{256} & 0.054 & 0.32 & 0.17 & 0.057& 0.010 \\
+ \textbf{512} & 0.48 & 2.61 & 1.20 & 0.51 & 0.074\\
+ \textbf{1024} & 4.16 & 19.92& 8.45 & 4.53 & 0.704 \\
+ \textbf{2048} & 125.90 & 159.33& 59.26 & 130.62 & 6.84 \\
+ \textbf{4096} & 1111.31 & 1147.10& 414.64 & 1179.26 & 55.84\\
+ \multicolumn{6}{c}{} \\
+ \hline
+ \hline
+ \end{tabular}
+ \end{center}
+ \caption{Messresultate \texttt{C}}
+ \label{multiplikation:tab:messung_C}
+ \end{table}
+
+
+
+ \begin{table}
+ \begin{center}
+ \begin{tabular}{l l l l l l}
+ \hline
+ \hline
+ \textbf{n} & \textbf{MM (\textit{s})} & \textbf{MM DC (\textit{s})} & \textbf{Strassen (\textit{s})} & \textbf{Winograd (\textit{s})} & \textbf{\texttt{NumPy}(\textit{s})} \\
+ \hline
+ \multicolumn{6}{c}{} \\
+ \textbf{32} & 0.0240 &0.0271 & 0.04852& 0.01871 & 4.26e-05 \\
+ \textbf{64} & 0.186 & 0.265& 0.2204& 0.1530& 0.000118 \\
+ \textbf{128} & 1.563 & 1.777& 1.447& 1.1947 & 0.000244 \\
+ \textbf{256} & 11.006 & 13.27 & 9.938 & 8.298& 0.000695 \\
+ \textbf{512} & 85.476 & 105.397 & 63.961 & 68.36 & 0.00221\\
+ \textbf{1024} & 750.757 & 847.321& 461.494 & 537.374 & 0.0188 \\
+ \textbf{4096} & - & - & - & - & 1.633 \\
+ \multicolumn{6}{c}{} \\
+ \hline
+ \hline
+ \end{tabular}
+ \end{center}
+ \caption{Messresultate \texttt{Python}}
+ \label{multiplikation:tab:messung_Python}
+ \end{table}
+
+ \begin{table}
+ \begin{center}
+ \begin{tabular}{c c c c}
+ \hline
+ \hline
+ \textbf{CPU} & \textbf{OS} & \textbf{GPU } & \textbf{Memory } \\
+ \hline
+ \multicolumn{4}{c}{} \\
+ Intel® Core™ i7-4770K CPU & Ubuntu 20.04.2 LTS & Radeon RX 570 & 32 GB 1600 MHz \\
+ @ 3.50GHz × 8 & 64-bit & & \\
+ \multicolumn{4}{c}{} \\
+ \hline
+ \hline
+ \end{tabular}
+ \end{center}
+ \caption{Messsystem}
+ \label{multiplikation:tab:pc_config}
+ \end{table}
\begin{figure}
\center