add all materials

architecture/cpu_clock_rate.py

@@ -0,0 +1,83 @@
+# CPU clock rate data from Wikipedia
+# https://en.wikipedia.org/wiki/Microprocessor_chronology
+# Table data extracted with: https://wikitable2csv.ggor.de/
+import numpy as np
+import matplotlib
+from matplotlib import pyplot as plt
+plt.style.use('ggplot')
+matplotlib.rcParams['font.size'] = 12
+matplotlib.rcParams['font.family'] = ['Exo 2', 'sans-serif']
+
+data = open('cpu_clock_rate.csv', 'rt')
+
+# first, remove units and rescale everything to MHz
+rescaled = []
+for line in data:
+    date, raw = line.split(',')
+    try:
+        value, unit = raw.split()
+    except ValueError:
+        # there are lines with multiple units, for example
+        # 550 MHz-1.3 GHz
+        # take the left most one
+        raw = raw.split('-')[1]
+        value, unit = raw.split()
+    # if value is in the form X-Y, just use the biggest, i.e. Y
+    if '-' in value:
+        value = value.split('-')[1]
+    value = float(value)
+    # rescale value
+    if unit == 'kHz':
+        value = value/1000
+    elif unit == 'GHz':
+        value = value*1000
+    elif unit == 'MHz':
+        pass
+    else:
+        raise ValueError(f'Unit not understood! {unit}')
+    rescaled.append((date, value))
+
+dtype = [('year', np.float64), ('clock', np.float64)]
+rescaled = np.array(rescaled, dtype=dtype)
+# sort first by year and then by value
+rescaled.sort(order=['year', 'clock'])
+
+# add some jitter on values corresponding to the same year, so that the plot
+# looks more understandable
+old_year = rescaled[0][0]
+count = 0
+for row in range(rescaled.shape[0]):
+    year = rescaled[row][0]
+    count += 1
+    if year != old_year:
+        # add jitter to the values corresponding to the previous year
+        prev_count = count-1
+        if prev_count > 1:
+            jitter = 1/prev_count
+            for i in range(1, count):
+                loc_year, loc_value = rescaled[row-count+i]
+                rescaled[row-count+i] = (loc_year+(jitter*(i-1)), loc_value)
+        # restart counting
+        count = 1
+        old_year = year
+
+# plot the thing
+plt.figure(figsize=(8.5,7.5))
+plt.semilogy(rescaled['year'], rescaled['clock'], 'o')
+# my laptop here
+plt.semilogy([2020], [4900], 'o')
+plt.grid(None)
+plt.grid(which='both', axis='both')
+plt.ylim(0.1, 10000)
+plt.xlim(1968, 2025)
+years = np.arange(1970, 2025, 5)
+plt.xticks(years, years)
+plt.yticks([0.1, 1,10,100,1000, 10000], ['1 kHz\n1 ms', '1 MHz\n1 µs', '10 MHz\n100 ns',
+    '100 MHz\n10 ns', '1 GHz\n1 ns', '10 GHz\n0.1 ns'])
+plt.tick_params(labelright=True, top=True, right=True)
+plt.title('CPU clock rate')
+plt.savefig('cpu_clock_rate.svg')
+
+
+
+