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results: Added matplotlib scripts to generate plots of the results

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Erik Örtenberg 2025-05-29 21:09:36 +02:00
parent 863460a9f2
commit dca9967246
3 changed files with 143 additions and 0 deletions
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37
plots/shyloc_results.py Normal file
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import matplotlib.pyplot as plt
import numpy as np
text_size = 30
stroke = 2
marker_width = 8
packet_sizes = (4,8,16,32,64,128)
configs = {
'Single Issue' : (0.4239, 0.4380, 0.4377, 0.4368, 0.4350, 0.4313),
'Performance Optimized' : (0.4228, 0.4379, 0.4378, 0.4371, 0.4353, 0.4292),
'Resource Utilization Optimized': (0.4239, 0.4380, 0.4385, 0.4371, 0.4353, 0.4293),
}
x = np.arange(len(packet_sizes)) # the label locations
ys = np.arange(0,3,0.125)
width = 0.25 # the width of the bars
multiplier = 0
fig, ax = plt.subplots(layout='constrained')
for attribute, measurement in configs.items():
offset = width * multiplier
rects = ax.bar(x + offset, measurement, width, label=attribute)
##ax.bar_label(rects, padding=15+multiplier*40,fontsize=text_size)
multiplier += 1
plt.plot([-0.125,5.625],[0.4419,0.4419],lw=stroke)
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Throughput (B/C)',fontsize=text_size)
ax.set_xlabel('Packet Size (B/P)',fontsize=text_size)
ax.set_title('Throughput during SHyLoC compression (1904B uncompressed, 1664B compressed)',fontsize=text_size)
ax.set_xticks(x + width, packet_sizes,fontsize=text_size)
ax.set_yticks(ys, ys,fontsize=text_size)
ax.legend(loc='upper left', ncols=2,fontsize=text_size)
ax.set_ylim(0, 1)
plt.show()

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plots/synth_results.py Normal file
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import matplotlib.pyplot as plt
import numpy as np
## Bar diagram chunked on different parameters.
text_size = 30
stroke = 2
marker_width = 8
metrics = ("LUTs", "DFFs", "Carry", "Memory Blocks")
configs = {
'Single Issue': (2.68, 1.61, 1.69, 3.57),
'IO Pipelined': (3.68, 1.84, 3.02, 3.57),
'Minimized IO Pipelined': (2.84, 1.62, 1.45, 3.57),
}
x = np.arange(len(metrics)) # the label locations
ys = np.arange(0,10,1)
width = 0.25 # the width of the bars
multiplier = 0
fig, ax = plt.subplots(layout='constrained')
for attribute, measurement in configs.items():
offset = width * multiplier
rects = ax.bar(x + offset, measurement, width, label=attribute)
ax.bar_label(rects, padding=3,fontsize=text_size)
#ax.bar_label(rects, padding=3)
multiplier += 1
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Utilization (%)',fontsize=text_size)
ax.set_xlabel('Metric',fontsize=text_size)
ax.set_title('Resource Utilization of GANIMEDE versions',fontsize=text_size)
ax.set_xticks(x + width, metrics,fontsize=text_size)
ax.set_yticks(ys, ys,fontsize=text_size)
ax.legend(loc='upper left', ncols=3)
ax.set_ylim(0, 10)
plt.show()
##metrics = ("LUTs", "DFFs", "Carry", "Memory Blocks")
##configs = {
## 'Single Issue': (874, 496, 130, 2),
## 'IO Pipelined': (1200, 565, 232, 2),
## 'Minimized IO Pipelined': (926, 499, 111, 2),
##}
##
##x = np.arange(len(metrics)) # the label locations
##width = 0.25 # the width of the bars
##multiplier = 0
##
##fig, ax = plt.subplots(layout='constrained')
##
##for attribute, measurement in configs.items():
## offset = width * multiplier
## rects = ax.bar(x + offset, measurement, width, label=attribute)
## ax.bar_label(rects, padding=3)
## multiplier += 1
##
### Add some text for labels, title and custom x-axis tick labels, etc.
##ax.set_ylabel('Utilization (%)')
##ax.set_title('configs attributes by metrics')
##ax.set_xticks(x + width, metrics)
##ax.legend(loc='upper left', ncols=3)
##ax.set_ylim(0, 1500)
##
##plt.show()
##

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plots/throughput_results.py Normal file
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import matplotlib.pyplot as plt
import numpy as np
## Bar diagram chunked on different parameters.
text_size = 30
stroke = 2
marker_width = 8
packet_sizes = (4,8,16,32,64,128)
configs = {
'Ideal Addressed' : ('o',marker_width,(0.5714, 0.8889, 1.2308, 1.5238, 1.7297, 1.8551)),
'Ideal non-Addressed' : ('v',marker_width,(1.3333, 1.6000, 1.7778, 1.8824, 1.9394, 1.9692)),
'Single Issue' : ('X',marker_width,(0.4414, 0.6095, 0.7529, 0.8312, 0.8889, 0.9275)),
'Performance Optimized' : ('s',marker_width,(0.4211, 0.6957, 1.0323, 1.3333, 1.5799, 1.7527)),
'Resource Utilization Optimized': ('^',marker_width-4,(0.4211, 0.6957, 1.0323, 1.3333, 1.5799, 1.7527)),
}
x = np.arange(len(packet_sizes)) # the label locations
ys = np.arange(0,3,0.25)
width = 0.25 # the width of the bars
multiplier = 0
fig, ax = plt.subplots(layout='constrained')
for attribute, (marker, lw, measurement) in configs.items():
ax.plot(packet_sizes, measurement, label=attribute, marker=marker, lw=stroke, mew=lw)
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Throughput (B/C)',fontsize=text_size)
ax.set_xlabel('Packet Size (B/P)',fontsize=text_size)
ax.set_title('Unhindered Throughput of simultaneous 256KiB read and 256KiB write',fontsize=text_size)
ax.set_xscale('log')
ax.set_xticks(packet_sizes, packet_sizes,fontsize=text_size)
ax.set_yticks(ys, ys,fontsize=text_size)
ax.legend(loc='upper left', ncols=2,fontsize=text_size)
ax.set_ylim(0.2, 2.7)
plt.show()