Clock Tree Viewer and trying to get to the information in the tooltips
Tool: Graphical User Interface
Subcategory: Data visualization improvement
Conversation
oharboe
The tooltips in the Clock Tree Viewer contain interesting information: which macro or flip flop has how much clock network latency.
However, the tooltip information is hard to get to and it is not searchable.
I mocked a text report that is printed when I click update...
I think perhaps a better approach to this is to have a tcl utility procedure that navigates the clock tree and print out this information. Perhaps that is possible today, but I don't know how to...
Change I used to mock the report below: https://github.com/Pinata-Consulting/OpenROAD/commit/17283788372d98cafc1e6bbd056f1074a1539bc6
oharboe
Mocking a heatmap of arrival times. I only have location information for the Elements. Got the idea here. https://www.eng.biu.ac.il/temanad/files/2017/02/Lecture-8-CTS.pdf
import re
import matplotlib.pyplot as plt
import numpy as np
# Extracting data from the text
text = """
# Your log content goes here
"""
lines = text.strip().split('\n')
filtered_lines = [line for line in lines if "ces" in line]
# Finding the maximum indices for rows and columns
max_row = max_col = 0
data_dict = {}
for line in filtered_lines:
match = re.search(r"ces_(\d+)_(\d+)/clock\s*Arrival:\s*(\d+\.\d+)", line)
if match:
row, col, value = map(int, map(float, match.groups()))
max_row = max(max_row, row)
max_col = max(max_col, col)
data_dict[(row, col)] = value
# Constructing the data matrix
data_matrix = np.zeros((max_row + 1, max_col + 1))
for (row, col), value in data_dict.items():
data_matrix[row, col] = value
# Plotting the heatmap
plt.imshow(data_matrix, origin='upper', cmap='viridis', aspect='auto')
plt.colorbar(label='Arrival (ps)')
plt.title('Heatmap of Arrival Times')
plt.xlabel('Column')
plt.ylabel('Row')
plt.show()
oharboe
Adding some 3d bling...
# Sample data
text = """
[INFO GUI-0088] Register _131_/CLK Arrival: 258.115 ps
[INFO GUI-0088] Register _132_/CLK Arrival: 257.882 ps
[INFO GUI-0088] Register _133_/CLK Arrival: 258.944 ps
[INFO GUI-0088] Register _134_/CLK Arrival: 258.636 ps
[INFO GUI-0088] Register _135_/CLK Arrival: 258.069 ps
[INFO GUI-0088] Register _137_/CLK Arrival: 257.527 ps
[INFO GUI-0088] Register _139_/CLK Arrival: 246.072 ps
[INFO GUI-0088] Register _143_/CLK Arrival: 245.541 ps
[INFO GUI-0088] Register _145_/CLK Arrival: 245.360 ps
[INFO GUI-0088] Register ces_0_7/clock Arrival: 232.150 ps
[INFO GUI-0088] Register ces_1_7/clock Arrival: 225.713 ps
[INFO GUI-0088] Register _136_/CLK Arrival: 250.476 ps
[INFO GUI-0088] Register _138_/CLK Arrival: 250.337 ps
[INFO GUI-0088] Register _140_/CLK Arrival: 246.845 ps
[INFO GUI-0088] Register _141_/CLK Arrival: 246.075 ps
[INFO GUI-0088] Register _142_/CLK Arrival: 246.461 ps
[INFO GUI-0088] Register _144_/CLK Arrival: 246.885 ps
[INFO GUI-0088] Register _146_/CLK Arrival: 245.560 ps
[INFO GUI-0088] Register ces_0_6/clock Arrival: 235.587 ps
[INFO GUI-0088] Register _147_/CLK Arrival: 239.633 ps
[INFO GUI-0088] Register _148_/CLK Arrival: 238.903 ps
[INFO GUI-0088] Register _149_/CLK Arrival: 239.580 ps
[INFO GUI-0088] Register _150_/CLK Arrival: 238.791 ps
[INFO GUI-0088] Register _151_/CLK Arrival: 239.418 ps
[INFO GUI-0088] Register _152_/CLK Arrival: 239.304 ps
[INFO GUI-0088] Register _153_/CLK Arrival: 238.755 ps
[INFO GUI-0088] Register _154_/CLK Arrival: 238.495 ps
[INFO GUI-0088] Register _155_/CLK Arrival: 250.283 ps
[INFO GUI-0088] Register _156_/CLK Arrival: 250.061 ps
[INFO GUI-0088] Register _157_/CLK Arrival: 250.546 ps
[INFO GUI-0088] Register _158_/CLK Arrival: 250.032 ps
[INFO GUI-0088] Register _159_/CLK Arrival: 250.760 ps
[INFO GUI-0088] Register _160_/CLK Arrival: 249.826 ps
[INFO GUI-0088] Register _161_/CLK Arrival: 250.433 ps
[INFO GUI-0088] Register _162_/CLK Arrival: 249.956 ps
[INFO GUI-0088] Register ces_2_7/clock Arrival: 233.829 ps
[INFO GUI-0088] Register ces_3_6/clock Arrival: 243.645 ps
[INFO GUI-0088] Register ces_3_7/clock Arrival: 239.027 ps
[INFO GUI-0088] Register ces_0_0/clock Arrival: 290.815 ps
[INFO GUI-0088] Register ces_0_1/clock Arrival: 287.224 ps
[INFO GUI-0088] Register ces_0_2/clock Arrival: 276.359 ps
[INFO GUI-0088] Register ces_1_0/clock Arrival: 262.155 ps
[INFO GUI-0088] Register ces_1_1/clock Arrival: 258.349 ps
[INFO GUI-0088] Register ces_1_2/clock Arrival: 248.148 ps
[INFO GUI-0088] Register ces_0_3/clock Arrival: 226.049 ps
[INFO GUI-0088] Register ces_1_3/clock Arrival: 224.760 ps
[INFO GUI-0088] Register ces_0_4/clock Arrival: 242.883 ps
[INFO GUI-0088] Register ces_0_5/clock Arrival: 247.124 ps
[INFO GUI-0088] Register ces_1_4/clock Arrival: 237.497 ps
[INFO GUI-0088] Register ces_1_5/clock Arrival: 249.241 ps
[INFO GUI-0088] Register ces_1_6/clock Arrival: 253.384 ps
[INFO GUI-0088] Register ces_2_0/clock Arrival: 253.191 ps
[INFO GUI-0088] Register ces_2_1/clock Arrival: 248.850 ps
[INFO GUI-0088] Register ces_2_2/clock Arrival: 236.498 ps
[INFO GUI-0088] Register ces_3_0/clock Arrival: 261.042 ps
[INFO GUI-0088] Register ces_3_1/clock Arrival: 257.075 ps
[INFO GUI-0088] Register ces_3_2/clock Arrival: 244.640 ps
[INFO GUI-0088] Register ces_2_3/clock Arrival: 225.582 ps
[INFO GUI-0088] Register ces_2_4/clock Arrival: 239.450 ps
[INFO GUI-0088] Register ces_2_5/clock Arrival: 251.290 ps
[INFO GUI-0088] Register ces_2_6/clock Arrival: 255.456 ps
[INFO GUI-0088] Register ces_3_3/clock Arrival: 227.135 ps
[INFO GUI-0088] Register ces_3_4/clock Arrival: 243.496 ps
[INFO GUI-0088] Register ces_3_5/clock Arrival: 248.000 ps
[INFO GUI-0088] Register _163_/CLK Arrival: 253.020 ps
[INFO GUI-0088] Register _164_/CLK Arrival: 253.796 ps
[INFO GUI-0088] Register _165_/CLK Arrival: 254.691 ps
[INFO GUI-0088] Register _166_/CLK Arrival: 254.356 ps
[INFO GUI-0088] Register _167_/CLK Arrival: 254.200 ps
[INFO GUI-0088] Register _168_/CLK Arrival: 253.308 ps
[INFO GUI-0088] Register _169_/CLK Arrival: 252.967 ps
[INFO GUI-0088] Register _170_/CLK Arrival: 253.566 ps
[INFO GUI-0088] Register ces_4_6/clock Arrival: 236.291 ps
[INFO GUI-0088] Register ces_4_7/clock Arrival: 232.063 ps
[INFO GUI-0088] Register _171_/CLK Arrival: 231.291 ps
[INFO GUI-0088] Register _172_/CLK Arrival: 231.543 ps
[INFO GUI-0088] Register _173_/CLK Arrival: 231.174 ps
[INFO GUI-0088] Register _174_/CLK Arrival: 230.426 ps
[INFO GUI-0088] Register _175_/CLK Arrival: 231.306 ps
[INFO GUI-0088] Register _176_/CLK Arrival: 231.412 ps
[INFO GUI-0088] Register _177_/CLK Arrival: 231.484 ps
[INFO GUI-0088] Register _178_/CLK Arrival: 231.182 ps
[INFO GUI-0088] Register _179_/CLK Arrival: 244.957 ps
[INFO GUI-0088] Register _180_/CLK Arrival: 242.174 ps
[INFO GUI-0088] Register _181_/CLK Arrival: 244.902 ps
[INFO GUI-0088] Register _182_/CLK Arrival: 242.804 ps
[INFO GUI-0088] Register _183_/CLK Arrival: 244.575 ps
[INFO GUI-0088] Register _184_/CLK Arrival: 243.857 ps
[INFO GUI-0088] Register _185_/CLK Arrival: 242.949 ps
[INFO GUI-0088] Register _186_/CLK Arrival: 244.352 ps
[INFO GUI-0088] Register _187_/CLK Arrival: 253.289 ps
[INFO GUI-0088] Register _189_/CLK Arrival: 253.454 ps
[INFO GUI-0088] Register _193_/CLK Arrival: 253.757 ps
[INFO GUI-0088] Register _194_/CLK Arrival: 253.377 ps
[INFO GUI-0088] Register _188_/CLK Arrival: 249.940 ps
[INFO GUI-0088] Register _190_/CLK Arrival: 250.214 ps
[INFO GUI-0088] Register _191_/CLK Arrival: 250.193 ps
[INFO GUI-0088] Register _192_/CLK Arrival: 250.440 ps
[INFO GUI-0088] Register ces_6_6/clock Arrival: 237.794 ps
[INFO GUI-0088] Register ces_6_7/clock Arrival: 237.428 ps
[INFO GUI-0088] Register ces_7_6/clock Arrival: 248.387 ps
[INFO GUI-0088] Register ces_7_7/clock Arrival: 243.904 ps
[INFO GUI-0088] Register ces_4_0/clock Arrival: 269.870 ps
[INFO GUI-0088] Register ces_4_1/clock Arrival: 265.959 ps
[INFO GUI-0088] Register ces_4_2/clock Arrival: 254.121 ps
[INFO GUI-0088] Register ces_4_3/clock Arrival: 227.621 ps
[INFO GUI-0088] Register ces_5_0/clock Arrival: 260.539 ps
[INFO GUI-0088] Register ces_5_1/clock Arrival: 256.515 ps
[INFO GUI-0088] Register ces_5_2/clock Arrival: 245.174 ps
[INFO GUI-0088] Register ces_5_3/clock Arrival: 225.957 ps
[INFO GUI-0088] Register ces_5_4/clock Arrival: 233.418 ps
[INFO GUI-0088] Register ces_5_5/clock Arrival: 250.130 ps
[INFO GUI-0088] Register ces_5_6/clock Arrival: 260.323 ps
[INFO GUI-0088] Register ces_5_7/clock Arrival: 263.816 ps
[INFO GUI-0088] Register ces_4_4/clock Arrival: 219.267 ps
[INFO GUI-0088] Register ces_4_5/clock Arrival: 223.542 ps
[INFO GUI-0088] Register ces_7_0/clock Arrival: 287.112 ps
[INFO GUI-0088] Register ces_7_1/clock Arrival: 283.560 ps
[INFO GUI-0088] Register ces_7_2/clock Arrival: 273.081 ps
[INFO GUI-0088] Register ces_7_3/clock Arrival: 272.904 ps
[INFO GUI-0088] Register ces_6_0/clock Arrival: 250.403 ps
[INFO GUI-0088] Register ces_6_1/clock Arrival: 246.424 ps
[INFO GUI-0088] Register ces_6_2/clock Arrival: 235.488 ps
[INFO GUI-0088] Register ces_6_3/clock Arrival: 230.871 ps
[INFO GUI-0088] Register ces_6_4/clock Arrival: 234.553 ps
[INFO GUI-0088] Register ces_6_5/clock Arrival: 238.808 ps
[INFO GUI-0088] Register ces_7_4/clock Arrival: 240.051 ps
[INFO GUI-0088] Register ces_7_5/clock Arrival: 244.454 ps
"""
import re
import matplotlib.pyplot as plt
import numpy as np
lines = text.strip().split('\n')
filtered_lines = [line for line in lines if "ces" in line]
# Finding the maximum indices for rows and columns
max_row = max_col = 0
data_dict = {}
for line in filtered_lines:
match = re.search(r"ces_(\d+)_(\d+)/clock\s*Arrival:\s*(\d+\.\d+)", line)
if match:
row, col, value = map(int, map(float, match.groups()))
max_row = max(max_row, row)
max_col = max(max_col, col)
data_dict[(row, col)] = value
# Constructing the data matrix
data_matrix = np.zeros((max_row + 1, max_col + 1))
for (row, col), value in data_dict.items():
data_matrix[row, col] = value
# Plotting the heatmap
plt.imshow(data_matrix, origin='upper', cmap='viridis', aspect='auto')
plt.colorbar(label='Arrival (ps)')
plt.title('Heatmap of Arrival Times')
plt.xlabel('Column')
plt.ylabel('Row')
plt.show()
oharboe
The reason I was interested in the skew heatmap as a function of location, is that for the mock-array, it is more important to have low skew at the edges, where the input/output pins are, than in the center... If I understand the presentation correctly...
From the heatmap, I can see that I get the "inverse" of what I am looking for: I get high latency/skew at the edges and lowest clock network latency in the middle of the array.
oharboe
Export to yaml everywhere? Then ask ChatGPT to write a program to graph whatever you want :-)
oharboe
One more round of tinkering, extracting leaf latency (macros & flip flops) for mock-array:
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import griddata
from mpl_toolkits.mplot3d import Axes3D
# Extract data from the table
data = """
[INFO GUI-0090] 353016 31894 _131_/CLK 2.5811525e-10
[INFO GUI-0090] 353610 32704 _132_/CLK 2.578819e-10
[INFO GUI-0090] 353448 29734 _133_/CLK 2.589441e-10
[INFO GUI-0090] 353232 30004 _134_/CLK 2.5863567e-10
[INFO GUI-0090] 353232 32164 _135_/CLK 2.5806945e-10
[INFO GUI-0090] 353232 33514 _137_/CLK 2.5752672e-10
[INFO GUI-0090] 352962 73474 _139_/CLK 2.4607233e-10
[INFO GUI-0090] 353070 75094 _143_/CLK 2.455407e-10
[INFO GUI-0090] 353232 74554 _145_/CLK 2.4536023e-10
[INFO GUI-0090] 325488 49596 ces_0_7/clock 2.3215012e-10
[INFO GUI-0090] 325488 97116 ces_1_7/clock 2.2571323e-10
[INFO GUI-0090] 353070 30274 _136_/CLK 2.504758e-10
[INFO GUI-0090] 353232 32974 _138_/CLK 2.5033728e-10
[INFO GUI-0090] 353988 74824 _140_/CLK 2.468455e-10
[INFO GUI-0090] 353070 74284 _141_/CLK 2.4607524e-10
[INFO GUI-0090] 353124 73744 _142_/CLK 2.4646146e-10
[INFO GUI-0090] 353718 74014 _144_/CLK 2.4688515e-10
[INFO GUI-0090] 353070 75364 _146_/CLK 2.455602e-10
[INFO GUI-0090] 282288 49596 ces_0_6/clock 2.3558674e-10
[INFO GUI-0090] 354312 120724 _147_/CLK 2.396328e-10
[INFO GUI-0090] 353070 120184 _148_/CLK 2.389033e-10
[INFO GUI-0090] 353070 120724 _149_/CLK 2.3958044e-10
[INFO GUI-0090] 353070 120454 _150_/CLK 2.3879088e-10
[INFO GUI-0090] 352908 120994 _151_/CLK 2.3941804e-10
[INFO GUI-0090] 354150 120994 _152_/CLK 2.3930402e-10
[INFO GUI-0090] 353070 121264 _153_/CLK 2.387552e-10
[INFO GUI-0090] 353070 121534 _154_/CLK 2.3849495e-10
[INFO GUI-0090] 354312 167704 _155_/CLK 2.5028343e-10
[INFO GUI-0090] 353070 167434 _156_/CLK 2.5006122e-10
[INFO GUI-0090] 354312 167974 _157_/CLK 2.5054644e-10
[INFO GUI-0090] 353070 167704 _158_/CLK 2.5003247e-10
[INFO GUI-0090] 353502 168244 _159_/CLK 2.5076013e-10
[INFO GUI-0090] 353070 167974 _160_/CLK 2.4982605e-10
[INFO GUI-0090] 353070 168514 _161_/CLK 2.504333e-10
[INFO GUI-0090] 353070 168784 _162_/CLK 2.4995647e-10
[INFO GUI-0090] 325488 144636 ces_2_7/clock 2.3382915e-10
[INFO GUI-0090] 282288 192156 ces_3_6/clock 2.4364535e-10
[INFO GUI-0090] 325488 192156 ces_3_7/clock 2.3902733e-10
[INFO GUI-0090] 23088 49596 ces_0_0/clock 2.908152e-10
[INFO GUI-0090] 66288 49596 ces_0_1/clock 2.8722372e-10
[INFO GUI-0090] 109488 49596 ces_0_2/clock 2.7635877e-10
[INFO GUI-0090] 23088 97116 ces_1_0/clock 2.6215496e-10
[INFO GUI-0090] 66288 97116 ces_1_1/clock 2.5834934e-10
[INFO GUI-0090] 109488 97116 ces_1_2/clock 2.481484e-10
[INFO GUI-0090] 152688 49596 ces_0_3/clock 2.2604922e-10
[INFO GUI-0090] 152688 97116 ces_1_3/clock 2.2475981e-10
[INFO GUI-0090] 195888 49596 ces_0_4/clock 2.4288263e-10
[INFO GUI-0090] 239088 49596 ces_0_5/clock 2.4712393e-10
[INFO GUI-0090] 195888 97116 ces_1_4/clock 2.3749708e-10
[INFO GUI-0090] 239088 97116 ces_1_5/clock 2.492415e-10
[INFO GUI-0090] 282288 97116 ces_1_6/clock 2.5338398e-10
[INFO GUI-0090] 23088 144636 ces_2_0/clock 2.5319144e-10
[INFO GUI-0090] 66288 144636 ces_2_1/clock 2.488505e-10
[INFO GUI-0090] 109488 144636 ces_2_2/clock 2.3649802e-10
[INFO GUI-0090] 23088 192156 ces_3_0/clock 2.6104152e-10
[INFO GUI-0090] 66288 192156 ces_3_1/clock 2.5707544e-10
[INFO GUI-0090] 109488 192156 ces_3_2/clock 2.4463978e-10
[INFO GUI-0090] 152688 144636 ces_2_3/clock 2.2558208e-10
[INFO GUI-0090] 195888 144636 ces_2_4/clock 2.394501e-10
[INFO GUI-0090] 239088 144636 ces_2_5/clock 2.5129004e-10
[INFO GUI-0090] 282288 144636 ces_2_6/clock 2.5545635e-10
[INFO GUI-0090] 152688 192156 ces_3_3/clock 2.271353e-10
[INFO GUI-0090] 195888 192156 ces_3_4/clock 2.4349614e-10
[INFO GUI-0090] 239088 192156 ces_3_5/clock 2.4800043e-10
[INFO GUI-0090] 353070 215224 _163_/CLK 2.5301994e-10
[INFO GUI-0090] 354150 215764 _164_/CLK 2.5379573e-10
[INFO GUI-0090] 352908 215764 _165_/CLK 2.546915e-10
[INFO GUI-0090] 353016 215494 _166_/CLK 2.543563e-10
[INFO GUI-0090] 352908 216034 _167_/CLK 2.5420016e-10
[INFO GUI-0090] 353016 216304 _168_/CLK 2.53308e-10
[INFO GUI-0090] 353070 216844 _169_/CLK 2.529667e-10
[INFO GUI-0090] 353070 216574 _170_/CLK 2.5356642e-10
[INFO GUI-0090] 282288 239676 ces_4_6/clock 2.362913e-10
[INFO GUI-0090] 325488 239676 ces_4_7/clock 2.3206259e-10
[INFO GUI-0090] 353556 262474 _171_/CLK 2.312914e-10
[INFO GUI-0090] 353070 263014 _172_/CLK 2.3154262e-10
[INFO GUI-0090] 353070 263284 _173_/CLK 2.3117369e-10
[INFO GUI-0090] 353070 262744 _174_/CLK 2.3042566e-10
[INFO GUI-0090] 353070 263824 _175_/CLK 2.3130639e-10
[INFO GUI-0090] 353070 263554 _176_/CLK 2.3141243e-10
[INFO GUI-0090] 353124 264094 _177_/CLK 2.3148382e-10
[INFO GUI-0090] 354312 263554 _178_/CLK 2.3118188e-10
[INFO GUI-0090] 353502 308644 _179_/CLK 2.4495708e-10
[INFO GUI-0090] 353232 308914 _180_/CLK 2.421735e-10
[INFO GUI-0090] 353394 309184 _181_/CLK 2.449023e-10
[INFO GUI-0090] 352962 309454 _182_/CLK 2.428038e-10
[INFO GUI-0090] 354204 309454 _183_/CLK 2.4457464e-10
[INFO GUI-0090] 353664 309994 _184_/CLK 2.4385688e-10
[INFO GUI-0090] 353070 309724 _185_/CLK 2.4294902e-10
[INFO GUI-0090] 353664 310264 _186_/CLK 2.443524e-10
[INFO GUI-0090] 353934 351844 _187_/CLK 2.53289e-10
[INFO GUI-0090] 353016 353734 _189_/CLK 2.5345356e-10
[INFO GUI-0090] 353016 354274 _193_/CLK 2.5375743e-10
[INFO GUI-0090] 353556 352114 _194_/CLK 2.533773e-10
[INFO GUI-0090] 353880 349684 _188_/CLK 2.4994018e-10
[INFO GUI-0090] 353286 351574 _190_/CLK 2.502142e-10
[INFO GUI-0090] 354042 349414 _191_/CLK 2.501929e-10
[INFO GUI-0090] 353016 354004 _192_/CLK 2.5043992e-10
[INFO GUI-0090] 282288 334716 ces_6_6/clock 2.3779426e-10
[INFO GUI-0090] 325488 334716 ces_6_7/clock 2.374277e-10
[INFO GUI-0090] 282288 382236 ces_7_6/clock 2.4838717e-10
[INFO GUI-0090] 325488 382236 ces_7_7/clock 2.4390354e-10
[INFO GUI-0090] 23088 239676 ces_4_0/clock 2.6987032e-10
[INFO GUI-0090] 66288 239676 ces_4_1/clock 2.6595942e-10
[INFO GUI-0090] 109488 239676 ces_4_2/clock 2.5412097e-10
[INFO GUI-0090] 152688 239676 ces_4_3/clock 2.2762146e-10
[INFO GUI-0090] 23088 287196 ces_5_0/clock 2.6053942e-10
[INFO GUI-0090] 66288 287196 ces_5_1/clock 2.5651453e-10
[INFO GUI-0090] 109488 287196 ces_5_2/clock 2.451736e-10
[INFO GUI-0090] 152688 287196 ces_5_3/clock 2.2595725e-10
[INFO GUI-0090] 195888 287196 ces_5_4/clock 2.334176e-10
[INFO GUI-0090] 239088 287196 ces_5_5/clock 2.501299e-10
[INFO GUI-0090] 282288 287196 ces_5_6/clock 2.6032337e-10
[INFO GUI-0090] 325488 287196 ces_5_7/clock 2.6381633e-10
[INFO GUI-0090] 195888 239676 ces_4_4/clock 2.1926745e-10
[INFO GUI-0090] 239088 239676 ces_4_5/clock 2.2354223e-10
[INFO GUI-0090] 23088 382236 ces_7_0/clock 2.871124e-10
[INFO GUI-0090] 66288 382236 ces_7_1/clock 2.8355954e-10
[INFO GUI-0090] 109488 382236 ces_7_2/clock 2.7308103e-10
[INFO GUI-0090] 152688 382236 ces_7_3/clock 2.729042e-10
[INFO GUI-0090] 23088 334716 ces_6_0/clock 2.504028e-10
[INFO GUI-0090] 66288 334716 ces_6_1/clock 2.464243e-10
[INFO GUI-0090] 109488 334716 ces_6_2/clock 2.3548827e-10
[INFO GUI-0090] 152688 334716 ces_6_3/clock 2.3087125e-10
[INFO GUI-0090] 195888 334716 ces_6_4/clock 2.3455274e-10
[INFO GUI-0090] 239088 334716 ces_6_5/clock 2.388076e-10
[INFO GUI-0090] 195888 382236 ces_7_4/clock 2.4005137e-10
[INFO GUI-0090] 239088 382236 ces_7_5/clock 2.4445432e-10
"""
rows = data.strip().split("\n")
x = []
y = []
z = []
for row in rows:
_, _, x_val, y_val, _, z_val = row.split()
x.append(float(x_val))
y.append(float(y_val))
z.append(float(z_val)/1E-12)
# Prepare grid for interpolation
xi = np.linspace(min(x), max(x), 100)
yi = np.linspace(min(y), max(y), 100)
xi, yi = np.meshgrid(xi, yi)
# Interpolate the z values
zi = griddata((x, y), z, (xi, yi), method='linear')
# Plot the 3D heatmap
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
surf = ax.plot_surface(xi, yi, zi, rstride=1, cstride=1, cmap=plt.cm.jet,
linewidth=0, antialiased=False)
fig.colorbar(surf)
plt.show()
oharboe
asap7/sha3 using python snippet above...
Animation: https://drive.google.com/file/d/1k64ew7QkB9AeRaFs9ZOX09EqzeMZupMG/view
maliberty
@precisionmoon any thoughts here as I know you want more visualization as well.