add all materials

architecture/storage.py

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+# Storage interfaces rates from
+# https://en.wikipedia.org/wiki/List_of_interface_bit_rates#Storage
+# 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('storage.csv', 'rt')
+# remove units and rescale everything to MB/s
+b_to_mb = 1/(1024*1024)
+kb_to_mb = 1/1024
+gb_to_mb = 1024
+rescaled = []
+for line in data:
+    typ, rate, year = line.split(',')
+    value, unit = rate.split()
+    value = float(value)
+    if unit == 'B/s':
+        value = value*b_to_mb
+    elif unit == 'KB/s':
+        value = value*kb_to_mb
+    elif unit == 'MB/s':
+        pass
+    elif unit == 'GB/s':
+        value = value*gb_to_mb
+    else:
+        raise ValueError(f'Unit not understood! {unit}')
+    rescaled.append((int(year), value))
+
+dtype = [('year', np.float64), ('speed', np.float64)]
+rescaled = np.array(rescaled, dtype=dtype)
+# sort first by year and then by value
+rescaled.sort(order=['year', 'speed'])
+
+# plot the thing
+plt.figure(figsize=(8.5,7.5))
+plt.semilogy(rescaled['year'], rescaled['speed'], 'o')
+# my laptop here
+plt.semilogy([2023], [6585], 'o')
+plt.grid(None)
+plt.grid(which='both', axis='y')
+plt.grid(which='both', axis='x')
+plt.ylim(b_to_mb, 100*gb_to_mb)
+plt.xlim(1960, 2025)
+years = range(1960,2026,5)
+plt.xticks(years, years, rotation=45, ha='center')
+plt.yticks([b_to_mb, kb_to_mb, 1, 10, 100,  gb_to_mb, 10*gb_to_mb, 100*gb_to_mb],
+           ['1 B/s', '1 KB/s', '1 MB/s', '10 MB/s', '100 MB/s', '1 GB/s', '10 GB/s', '100 GB/s'])
+plt.tick_params(labeltop=False, labelright=True, top=True, right=True)
+plt.title('Storage (read) speed')
+plt.savefig('storage.svg')