65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import sys
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import numpy as np
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sys.path.insert(0, 'tools')
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from viz_theme import apply_monochrome, save_svg, load_csv
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apply_monochrome()
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import matplotlib.pyplot as plt
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def read_data(rows):
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ops = []
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m512 = []; m512_err = []
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m768 = []; m768_err = []
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m1024 = []; m1024_err = []
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for row in rows:
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ops.append(row['op'])
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m512.append(float(row['m512_sp']))
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m512_err.append([float(row['m512_elo']), float(row['m512_ehi'])])
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m768.append(float(row['m768_sp']))
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m768_err.append([float(row['m768_elo']), float(row['m768_ehi'])])
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m1024.append(float(row['m1024_sp']))
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m1024_err.append([float(row['m1024_elo']), float(row['m1024_ehi'])])
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m512_err = np.array(m512_err).T
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m768_err = np.array(m768_err).T
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m1024_err = np.array(m1024_err).T
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return ops, m512, m512_err, m768, m768_err, m1024, m1024_err
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DATA = "kem_level.csv"
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ops, m512, m512_err, m768, m768_err, m1024, m1024_err = read_data(load_csv(DATA))
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fig, ax = plt.subplots(figsize=(8, 4))
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bar_width = 0.25
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colors = ['#333333', '#777777', '#bbbbbb']
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labels = ['ML-KEM-512', 'ML-KEM-768', 'ML-KEM-1024']
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x = np.arange(len(ops))
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ax.bar(x - bar_width, m512, bar_width, label=labels[0], color=colors[0], yerr=m512_err, edgecolor='none')
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ax.bar(x, m768, bar_width, label=labels[1], color=colors[1], yerr=m768_err, edgecolor='none')
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ax.bar(x + bar_width, m1024, bar_width, label=labels[2], color=colors[2], yerr=m1024_err, edgecolor='none')
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ax.set_xticks(x)
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ax.set_xticklabels(ops)
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ax.set_ylabel("Speedup ref $\\to$ avx2 ($\\times$)")
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ax.set_ylim(bottom=0, top=9)
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ax.legend(loc='upper left', frameon=False, fontsize='small')
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save_svg(
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fig,
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alt=(
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"Grouped bar chart of end-to-end AVX2 speedup for the three ML-KEM "
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"operations, at three parameter sets."
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),
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desc=(
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"Key generation, encapsulation and decapsulation all land between "
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"roughly 5.4 and 7.1 times faster than the scalar reference, a much "
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"narrower band and a much smaller factor than the per-operation "
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"speedups elsewhere in the essay, because the arithmetic AVX2 "
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"accelerates is only part of the whole operation. Confidence "
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"intervals are too small to see at this scale."
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),
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)
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