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jefflarkin/nsys_kernel_stats.ipynb

Created January 29, 2020 20:05
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NVIDIA Nsight Systems Recipes
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nsys_kernel_stats.ipynb
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nsys_kernel_stats.py
import pandas as pd
import numpy as np
import sqlite3
kernels = pd.read_sql_query("select StringIds.value as name, num, min as 'min (ns)', max as 'max (ns)', avg as 'avg (ns)', total as 'total (ns)' from cudaKernelStats INNER JOIN stringIds on stringIds.id == shortName order by total desc", sqlite3.connect("report1.sqlite"))
kernels["min (s)"] = kernels["min (ns)"] / 1e9
kernels["max (s)"] = kernels["max (ns)"] / 1e9
kernels["avg (s)"] = kernels["avg (ns)"] / 1e9
kernels["total (s)"] = kernels["total (ns)"] / 1e9
print(kernels)
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