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Commit 74efbd08 authored by David Hendriks's avatar David Hendriks
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added scaling data and plots of this

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tests/population/comparison_result_astro1.dat
+ 115
− 1
View file @ 74efbd08
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tests/population/comparison_result_laptop.dat deleted 100644 → 0
+ 0
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tests/population/name_testcase.png 0 → 100644
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View file @ 74efbd08
tests/population/name_testcase.png

39.9 KiB

tests/population/plot_scaling.py
+ 21
− 8
View file @ 74efbd08
...@@ -8,17 +8,22 @@ def calc_mean_and_std(arr): ...@@ -8,17 +8,22 @@ def calc_mean_and_std(arr):
# Readout # Readout
result_file = 'comparison_result.dat' result_file = 'comparison_result.dat'
result_file = 'comparison_result_astro1.dat'
name_testcase = 'Astro1'
results = [] results = []
name_testcase = 'laptop David'
with open(result_file, 'r') as f: with open(result_file, 'r') as f:
for line in f: for line in f:
res = list(eval(line.strip())) res = list(eval(line.strip()))
res.append(res[-2]/res[-1]) if len(res)==6:
res.append(res[-2]/res[-1])
results.append(res) results.append(res)
# make dataframe # make dataframe
headers = ['cores', 'total_systems', 'total_time_sequentially', 'total_time_multiprocessing', 'ratio'] headers = ['cores', 'total_systems', 'total_time_sequentially', 'total_time_multiprocessing', 'ratio']
df = pd.DataFrame(results) df = pd.DataFrame(results)
df.columns = headers df.columns = headers
...@@ -63,7 +68,9 @@ for i in unique_amt_cores: ...@@ -63,7 +68,9 @@ for i in unique_amt_cores:
# Plot # Plot
x_position_shift = 0 x_position_shift = 0
y_position_shift = -0.05 y_position_shift = -0.05
max_speedup = 0
for amt_systems in unique_amt_systems: for amt_systems in unique_amt_systems:
cores = [] cores = []
speedup = [] speedup = []
std = [] std = []
...@@ -75,20 +82,26 @@ for amt_systems in unique_amt_systems: ...@@ -75,20 +82,26 @@ for amt_systems in unique_amt_systems:
speedup.append(el['mean_ratio']) speedup.append(el['mean_ratio'])
std.append(el['std_ratio']) std.append(el['std_ratio'])
if el['mean_ratio'] > max_speedup:
max_speedup = el['mean_ratio']
# add number of runs its based on # add number of runs its based on
plt.text(el['cores'] + x_position_shift+0.01, el['mean_ratio']+y_position_shift, el['total_runs']) plt.text(el['cores'] + x_position_shift+0.01, el['mean_ratio']+y_position_shift, el['total_runs'])
plt.errorbar(cores, speedup, std, linestyle='None', marker='^', label='{} systems'.format(amt_systems)) plt.errorbar(cores, speedup, std, linestyle='None', marker='^', label='{} systems'.format(amt_systems))
x_position_shift += 0.04 x_position_shift += 0.1
plt.title("Speed up ratio vs amount of cores for different amounts of systems on {}".format(name_testcase)) plt.title("Speed up ratio vs amount of cores for different amounts of systems on {}".format(name_testcase))
plt.xlabel("Amount of cores used") plt.xlabel("Amount of cores used")
plt.ylabel("Speed up ratio (time_linear/time_parallel)") plt.ylabel("Speed up ratio (time_linear/time_parallel)")
plt.legend()
plt.show()
plt.xlim(0, max(unique_amt_cores) + 4)
plt.ylim(0, max_speedup + 2)
plt.grid()
plt.legend()
plt.savefig('name_testcase'+'.png')
plt.savefig('name_testcase'+'.pdf')
plt.show()
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