107 lines
3.1 KiB
Python
107 lines
3.1 KiB
Python
import matplotlib.pyplot as plt
|
|
import sys
|
|
|
|
filename = sys.argv[1]
|
|
plot_output_file = filename.replace(".txt", ".pdf")
|
|
raw_output_file = filename.replace(".txt", ".csv")
|
|
fig = plt.figure()
|
|
ax = plt.axes()
|
|
plot_data = {}
|
|
|
|
status = 0 # No header found
|
|
md_case = False
|
|
stride = None
|
|
dims = None
|
|
freq = None
|
|
cl_size = None
|
|
vector_width = None
|
|
cache_lines_per_gather = None
|
|
|
|
with open(filename, 'r') as fp:
|
|
for line in fp.readlines():
|
|
line = line.strip()
|
|
|
|
if len(line) <= 0 or "likwid-pin" in line:
|
|
continue
|
|
|
|
if line.startswith("ISA,"):
|
|
status = 1
|
|
md_case = True if "Dims" in line else False
|
|
continue
|
|
|
|
if line.startswith("N,"):
|
|
status = 2
|
|
continue
|
|
|
|
assert status == 1 or status == 2, "Invalid input!"
|
|
|
|
if status == 1:
|
|
if md_case:
|
|
isa, layout, stride, dims, freq, cl_size, vector_width, cache_lines_per_gather = line.split(',')
|
|
else:
|
|
isa, stride, freq, cl_size, vector_width, cache_lines_per_gather = line.split(',')
|
|
|
|
stride = int(stride)
|
|
continue
|
|
|
|
if md_case:
|
|
N, size, total_time, time_per_it, cy_per_iter, cy_per_gather, cy_per_elem = line.split(',')
|
|
else:
|
|
N, size, total_time, time_per_it, cy_per_gather, cy_per_elem = line.split(',')
|
|
|
|
size = float(size)
|
|
cycles = float(cy_per_iter) if md_case else float(cy_per_gather)
|
|
|
|
if stride not in plot_data:
|
|
plot_data[stride] = {}
|
|
|
|
plot_data[stride][size] = cycles if size not in plot_data[stride] \
|
|
else min(cycles, plot_data[stride][size])
|
|
|
|
all_sizes = set()
|
|
all_strides = set()
|
|
for stride in plot_data:
|
|
sizes = list(plot_data[stride].keys())
|
|
sizes.sort()
|
|
cycles = [plot_data[stride][size] for size in sizes]
|
|
ax.plot(sizes, cycles, marker='.', label=str(stride))
|
|
|
|
for size in sizes:
|
|
all_sizes.add(size)
|
|
|
|
all_strides.add(stride)
|
|
|
|
all_sizes = list(all_sizes)
|
|
all_sizes.sort()
|
|
all_strides = list(all_strides)
|
|
all_strides.sort()
|
|
with open(raw_output_file, 'w') as wp:
|
|
wp.write(" size\stride")
|
|
|
|
for stride in all_strides:
|
|
wp.write(",{0:14}".format(stride))
|
|
|
|
wp.write("\n")
|
|
|
|
for size in all_sizes:
|
|
wp.write("{:14.6f}".format(size))
|
|
for stride in all_strides:
|
|
try:
|
|
cycles = plot_data[stride][size]
|
|
except:
|
|
cycles = ''
|
|
|
|
wp.write(",{:14.6f}".format(cycles))
|
|
|
|
wp.write("\n")
|
|
|
|
cy_label = "Cycles per iteration" if md_case else "Cycles per gather"
|
|
ax.vlines([32, 1000], 0, 1, transform=ax.get_xaxis_transform(), linestyles='dashed', color=['#444444', '#777777'])
|
|
#ax.vlines([32, 1000, 28000], 0, 1, transform=ax.get_xaxis_transform(), linestyles='dashed', color=['#444444', '#777777', '#aaaaaa'])
|
|
ax.set(xlabel='Array size (kB)', ylabel=cy_label)
|
|
ax.set_xscale('log')
|
|
#ax.set_xticks([32, 1000, 28000])
|
|
#ax.set_xlim(0, 200000)
|
|
plt.legend(title="Stride")
|
|
fig.savefig(plot_output_file, bbox_inches = 'tight', pad_inches = 0)
|