Merge branch 'plots_3' into 'main'

fixed plot.py

See merge request course-asl-fastcode26/team70!51
This commit is contained in:
Linus Baumberger
2026-06-01 14:29:26 +02:00
3 changed files with 76 additions and 14 deletions
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@@ -1,6 +1,7 @@
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import matplotlib.patheffects as pe
#import seaborn as sns # tried it, the default look was worse #import seaborn as sns # tried it, the default look was worse
df = pd.read_csv("analysis/results.csv") df = pd.read_csv("analysis/results.csv")
@@ -19,6 +20,61 @@ def getline(v):
s = df[df.variant == v].sort_values("n") s = df[df.variant == v].sort_values("n")
return s.n.values, s["flops_per_cycle"].values return s.n.values, s["flops_per_cycle"].values
def label_lines_above(ax, entries, fontsize=9, rotate=False, dy_frac=0.012, halo=0):
"""Place each line's description on the line.
entries: (x, y, label, color) with two optional extra elements:
[4] xpos -> pin the label to that data-x (else labels are spread out)
[5] side -> "above" (default) or "below" to put the text under the line
Set halo>0 to draw a white outline behind the text. Call AFTER
set_xlim/set_ylim and tight_layout so any rotation angle is correct.
"""
logx = ax.get_xscale() == "log"
logy = ax.get_yscale() == "log"
fx = (lambda v: np.log10(v)) if logx else (lambda v: v)
fxi = (lambda v: 10**v) if logx else (lambda v: v)
fy = (lambda v: np.log10(v)) if logy else (lambda v: v)
fyi = (lambda v: 10**v) if logy else (lambda v: v)
ent = []
for e in entries:
x, y, lab, c = e[0], e[1], e[2], e[3]
if len(x) == 0:
continue
ent.append((np.asarray(x, float), np.asarray(y, float), lab, c,
e[4] if len(e) > 4 else None,
e[5] if len(e) > 5 else "above"))
n = len(ent)
y0, y1 = ax.get_ylim()
dy = (fy(y1) - fy(y0)) * dy_frac
for i, (x, y, lab, c, xpos, side) in enumerate(ent):
xlo, xhi = fx(x.min()), fx(x.max())
if xpos is None: # spread across lines
frac = (i + 1) / (n + 1)
xt = fxi(xlo + frac * (xhi - xlo))
else:
xt = xpos
yt = fyi(np.interp(fx(xt), fx(x), fy(y))) # y on the line at xt
rot = 0
if rotate: # match slope in pixels
dxt = fxi(fx(xt) + 0.01 * (xhi - xlo))
ya = fyi(np.interp(fx(xt), fx(x), fy(y)))
yb = fyi(np.interp(fx(dxt), fx(x), fy(y)))
p1 = ax.transData.transform((xt, ya))
p2 = ax.transData.transform((dxt, yb))
rot = np.degrees(np.arctan2(p2[1] - p1[1], p2[0] - p1[0]))
below = side == "below"
ypos = fyi(fy(yt) - dy) if below else fyi(fy(yt) + dy)
va = "top" if below else "bottom"
txt = ax.text(xt, ypos, lab, color=c, fontsize=fontsize,
ha="center", va=va, fontweight="bold",
rotation=rot, rotation_mode="anchor", clip_on=False, zorder=5)
if halo:
txt.set_path_effects([pe.withStroke(linewidth=halo, foreground="white")])
base = get("variant_baseline") base = get("variant_baseline")
@@ -33,9 +89,11 @@ tracks = [
] ]
fig, ax = plt.subplots(figsize=(9,4.7)) fig, ax = plt.subplots(figsize=(9,4.7))
ends = []
for v,lab,c,ls in tracks: for v,lab,c,ls in tracks:
x,y = getline(v) x,y = getline(v)
ax.plot(x, y, ls, color=c, marker="o", ms=4, lw= 2.4 if c==maroon else 1.8, label=lab) ax.plot(x, y, ls, color=c, marker="o", ms=4, lw= 2.4 if c==maroon else 1.8)
ends.append((x, y, lab, c))
for yv,t in [(PEAK_D,"double peak (16)"), (PEAK_F,"float peak (32)")]: for yv,t in [(PEAK_D,"double peak (16)"), (PEAK_F,"float peak (32)")]:
ax.axhline(yv, ls=":", color="#999", lw=1.2) ax.axhline(yv, ls=":", color="#999", lw=1.2)
@@ -50,8 +108,8 @@ ax.set_xlabel("number of pedestrians n")
ax.set_ylabel("performance [flops/cycle]") ax.set_ylabel("performance [flops/cycle]")
ax.grid(color="#e9e9e9") ax.grid(color="#e9e9e9")
ax.spines["top"].set_visible(False); ax.spines["right"].set_visible(False) ax.spines["top"].set_visible(False); ax.spines["right"].set_visible(False)
ax.legend(fontsize=9, loc="lower left", framealpha=.95)
plt.tight_layout() plt.tight_layout()
label_lines_above(ax, ends, fontsize=7.5, dy_frac=0.012)
plt.savefig("analysis/fig_tracks.png", dpi=170, bbox_inches="tight") plt.savefig("analysis/fig_tracks.png", dpi=170, bbox_inches="tight")
@@ -143,25 +201,29 @@ plt.savefig("analysis/fig_exp.png", dpi=170, bbox_inches="tight")
# plot 5: the milestone ladder as lines (this is plot0 + line1, line2, ... for the doc). # plot 5: the milestone ladder as lines (this is plot0 + line1, line2, ... for the doc).
# one line per relevant optimization step across n, baseline at the bottom. # one line per relevant optimization step across n, baseline at the bottom.
# unlike fig_tracks this includes the scalar steps so you can see where each jump comes from. # unlike fig_tracks this includes the scalar steps so you can see where each jump comes from.
# tuple: (variant, label, color, linestyle, xpos|None, side) where side is
# "above" or "below" -> alternate the crowded float labels above/below their line.
milestones = [ milestones = [
("variant_baseline", "baseline", "#7a7a7a", "-"), ("variant_baseline", "baseline", "#7a7a7a", "-", None, "above"),
("variant_cutoff_callsite", "+ cutoff (best scalar)", "#9e8f2f", "-"), ("variant_cutoff_callsite", "baseline + cutoff (best scalar)", "#9e8f2f", "-", None, "below"),
("variant_inlining_7_SoA_AVX2", "AVX2 (double)", "#3b6fb0", "--"), ("variant_inlining_7_SoA_AVX2", "AVX2 (double)", "#3b6fb0", "--", None, "above"),
("variant_inlining_7_SoA_AVX2_polyexp", "+ polyexp (double)", "#2f9e8f", "--"), ("variant_inlining_7_SoA_AVX2_polyexp", "AVX2 + polyexp (double)", "#2f9e8f", "--", None, "below"),
("variant_inlining_8_SoA_AVX512_polyexp_moreavx", "AVX-512 (double)", "#2f5d9e", "-"), ("variant_inlining_8_SoA_AVX512_polyexp_moreavx", "AVX-512 (double)", "#2f5d9e", "-", None, "below"),
("variant_float_inlining_SoA_AVX2_polyexp", "float AVX2 + polyexp", "#e58aa6", "--"), ("variant_float_inlining_SoA_AVX2_polyexp", "float AVX2 + polyexp", "#e58aa6", "--", 600, "above"),
("variant_float_inlining_SoA_AVX2_polyexp_rsqrt_loopopt", "float AVX2 + rsqrt", "#e08a1e", "--"), ("variant_float_inlining_SoA_AVX2_polyexp_rsqrt_loopopt", "float AVX2 + rsqrt", "#e08a1e", "--", 2200, "below"),
("variant_float_inlining_SoA_AVX512_polyexp_moreavx", "float AVX-512", "#c0436a", "-"), ("variant_float_inlining_SoA_AVX512_polyexp_moreavx", "float AVX-512", "#c0436a", "-", 1500, "above"),
("variant_float_inlining_SoA_AVX512_polyexp_moreavx_ilp_2_rsqrt_morersqrt","float AVX-512 + rsqrt + ILP (best)", maroon, "-"), ("variant_float_inlining_SoA_AVX512_polyexp_moreavx_ilp_2_rsqrt_morersqrt","float AVX-512 + rsqrt + ILP (best)", maroon, "-", 900, "above"),
] ]
fig, ax = plt.subplots(figsize=(9.5,5.2)) fig, ax = plt.subplots(figsize=(9.5,5.2))
for v,lab,c,ls in milestones: ends = []
for v,lab,c,ls,xpos,side in milestones:
x,y = getline(v) x,y = getline(v)
if len(x) == 0: # variant not in results.csv -> skip instead of crashing if len(x) == 0: # variant not in results.csv -> skip instead of crashing
print("skip (not in csv):", v) print("skip (not in csv):", v)
continue continue
ax.plot(x, y, ls, color=c, marker="o", ms=4, lw=2.4 if c==maroon else 1.7, label=lab) ax.plot(x, y, ls, color=c, marker="o", ms=4, lw=2.4 if c==maroon else 1.7)
ends.append((x, y, lab, c, xpos, side))
for yv,t in [(PEAK_D,"double peak (16)"), (PEAK_F,"float peak (32)")]: for yv,t in [(PEAK_D,"double peak (16)"), (PEAK_F,"float peak (32)")]:
ax.axhline(yv, ls=":", color="#999", lw=1.2) ax.axhline(yv, ls=":", color="#999", lw=1.2)
@@ -176,8 +238,8 @@ ax.set_xlabel("number of pedestrians n")
ax.set_ylabel("performance [flops/cycle]") ax.set_ylabel("performance [flops/cycle]")
ax.grid(color="#e9e9e9") ax.grid(color="#e9e9e9")
ax.spines["top"].set_visible(False); ax.spines["right"].set_visible(False) ax.spines["top"].set_visible(False); ax.spines["right"].set_visible(False)
ax.legend(fontsize=8.5, loc="upper left", ncol=2, framealpha=.95)
plt.tight_layout() plt.tight_layout()
label_lines_above(ax, ends, fontsize=6.5, dy_frac=0.02, halo=0)
plt.savefig("analysis/fig_milestones.png", dpi=170, bbox_inches="tight") plt.savefig("analysis/fig_milestones.png", dpi=170, bbox_inches="tight")