Best Non-Vectorized Version Benchmark + Duplicate Files Removal
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+42
-11
@@ -114,7 +114,7 @@ tracks = [
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"AVX-512 + PolyExp + RSQRT + ILP-Outer (float)", crimson, "-"),
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]
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fig, ax = plt.subplots(figsize=(9, 4.7))
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fig, ax = plt.subplots(figsize=(10, 7))
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ends = []
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for v, lab, c, ls in tracks:
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@@ -129,19 +129,49 @@ for v, lab, c, ls in tracks:
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lw=2.4 if c == maroon else 1.8)
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if c == maroon:
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side = "below"
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xpos = 5600
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xpos = 2000
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y = y - 1
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elif v == "variant_float_inlining_SoA_AVX512_polyexp_moreavx_ilp_2_rsqrt_morersqrt_improved_moreilp":
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xpos = 2000
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side = "above"
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y = y + 0.25
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elif lab == "Scalar Baseline (double)":
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xpos = 750
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# y =
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side = "above"
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elif lab == "AVX-512 (double)":
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xpos = 725
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side = "above"
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elif lab == "AVX-256 + PolyExp + RSQRT (float)":
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xpos = 800
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y = y + 0.2
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side = "above"
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elif lab == "AVX-256 + PolyExp (float)":
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xpos = 775
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y = y + 0.2
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side = "above"
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elif lab == "AVX-512 + PolyExp (double)":
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xpos = 775
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y = y + 0.1
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side = "above"
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elif lab == "AVX-256 (double)":
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xpos = 725
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side = "above"
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else:
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side = "above"
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xpos = None
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ends.append((x, y, lab, c, xpos, side))
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perf_bound_instruction_mix = 28.19
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for yv, t in [
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(27.43, f"Peak π based on instruction mix [{27.43} flops/cycle]"),
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(perf_bound_instruction_mix,
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f"Peak π based on instruction mix [{perf_bound_instruction_mix} flops/cycle]"
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),
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# (PEAK_D, f"Peak π par. w/ doubles ({PEAK_D} flops/cycle)"),
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# (PEAK_F, f"Peak π par. w/ floats ({PEAK_F} flops/cycle)")
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]:
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ax.axhline(yv, ls=":", color="#999", lw=1.2)
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ax.text(52, yv * 1.03, t, fontsize=9, color="#888", fontweight="bold")
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ax.axhline(yv, ls=":", color="#999", lw=4)
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ax.text(52, yv * 1.03, t, fontsize=15, color="#888", fontweight="bold")
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ax.set_xscale("log", base=10)
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ax.set_xticks([50, 100, 200, 500, 1000, 2000, 5000, 10000])
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@@ -150,22 +180,23 @@ ax.set_xlim(46, 13000)
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ax.set_ylim(0, 30)
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for label in ax.get_yticklabels():
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label.set_fontweight('bold')
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label.set_fontsize(9)
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label.set_fontsize(14)
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for label in ax.get_xticklabels():
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label.set_fontweight('bold')
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label.set_fontsize(9)
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ax.set_xlabel("Number of Pedestrians", fontweight="bold", fontsize=9)
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label.set_fontsize(14)
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ax.set_xlabel("Number of Pedestrians", fontweight="bold", fontsize=16)
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ax.grid(color="#e9e9e9")
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ax.spines["top"].set_visible(False)
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ax.spines["right"].set_visible(False)
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plt.title(
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'Performance (flops/cycle) [N = 3]\nCPU: AMD Ryzen AI 7 350 @ 2 GHz\nCompiler: g++ (Debian 15.2.0-17) 15.2.0\nFlags: -O3 -march=native -std=c++23 -Wall -Wextra -flto',
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'Performance (flops/cycle) [N = 3]\nCPU: AMD Ryzen AI 7 350 @ 2 GHz\nCompiler: g++ (Debian 15.2.0-17) 15.2.0\nFlags: -O3 -march=native -std=c++23 -Wall -Wextra -flto\n',
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loc='left',
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size=9,
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size=18,
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fontweight="bold")
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ax.grid(color="#e9e9e9")
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plt.tight_layout()
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label_lines_above(ax, ends, fontsize=7.25, dy_frac=0.012)
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label_lines_above(ax, ends, fontsize=15, dy_frac=0.003, halo=0)
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# fig.set_size_inches(15, 10)
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plt.savefig("analysis/fig_tracks.svg", bbox_inches="tight")
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# plot 2: all the milestones + the symmetry one that got slower
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