31 lines
1.0 KiB
Python
Executable File
31 lines
1.0 KiB
Python
Executable File
#!/usr/bin/env python3
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import os, csv
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import matplotlib.pyplot as plt
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from collections import defaultdict
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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']); 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(); plt.savefig(out_data); plt.savefig(out_iot)
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print(f"[plot] wrote {out_data} and mirrored to {out_iot}")
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