46 lines
1.2 KiB
Python
Executable File
46 lines
1.2 KiB
Python
Executable File
#!/usr/bin/env python3
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import csv
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import os
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root = os.path.dirname(os.path.dirname(__file__))
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src = os.path.join(root, "results", "summary_energy.csv")
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dst = os.path.join(root, "results", "phase3_drowsy_deltas.csv")
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# group by key without drowsy; compare d0 vs d1
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from collections import defaultdict
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bykey = defaultdict(dict)
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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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key = (row["workload"], row["core"], row["dvfs"], row["l2"])
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bykey[key][row["drowsy"]] = row
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rows = []
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for k, d in bykey.items():
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if "0" in d and "1" in d:
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a = d["0"]
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b = d["1"]
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e0 = float(a["energy_J"])
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e1 = float(b["energy_J"])
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edp0 = float(a["edp"])
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edp1 = float(b["edp"])
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rows.append(
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{
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"workload": k[0],
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"core": k[1],
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"dvfs": k[2],
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"l2": k[3],
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"energy_drop_%": f"{100*(e0-e1)/e0:.2f}",
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"edp_drop_%": f"{100*(edp0-edp1)/edp0:.2f}",
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}
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)
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with open(dst, "w", newline="") as f:
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w = csv.DictWriter(f, fieldnames=list(rows[0].keys()))
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w.writeheader()
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w.writerows(rows)
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print(f"[delta] wrote {dst}")
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