35 lines
1.1 KiB
Python
Executable File
35 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python3
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import csv
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import os
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from collections import defaultdict
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import matplotlib.pyplot as plt
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ROOT = "/home/carlos/projects/gem5"
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OUT_DATA = os.path.join(ROOT, "gem5-data", "SmartEdgeAI", "results")
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OUT_IOT = os.path.join(ROOT, "iot", "results")
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src = os.path.join(OUT_DATA, "summary_energy.csv")
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out_data = os.path.join(OUT_DATA, "fig_epi_across_workloads.png")
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out_iot = os.path.join(OUT_IOT, "fig_epi_across_workloads.png")
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epi_by_core = defaultdict(list)
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with open(src) as f:
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r = csv.DictReader(f)
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for row in r:
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insts = float(row["insts"])
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energy = float(row["energy_J"])
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epi = 1e12 * energy / insts if insts > 0 else 0.0
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epi_by_core[row["core"]].append(epi)
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cores = ["big", "little", "hybrid"]
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vals = [sum(epi_by_core[c]) / max(1, len(epi_by_core[c])) for c in cores]
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plt.figure()
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plt.bar(cores, vals)
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plt.ylabel("EPI (pJ/inst)")
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plt.title("Energy per Instruction across workloads (avg by core mode)")
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plt.tight_layout()
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plt.savefig(out_data)
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plt.savefig(out_iot)
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print(f"[plot] wrote {out_data} and mirrored to {out_iot}")
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