Linus Baumberger
67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
import os
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import re
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import csv
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# folder that holds one subfolder per variant, each with an x86/ dir full of *.log files
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ROOT = "measurements"
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OUT = "analysis/results.csv"
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# the benchmark prints one block per problem size, looks like:
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# === N_P=500 N_ITER=200 ===
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# W(n) per iteration: ...
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# Q(n) per iteration: ...
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# I(n): ...
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# W(n): ...
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# T(n): ... <- cycles
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# P(n): ... <- flops/cycle
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# so I split each log on the "=== N_P=.. ===" lines and read the fields out of each block.
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size_line = re.compile(r"=== N_P=(\d+) N_ITER=(\d+) ===")
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def num(pattern, text):
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m = re.search(pattern, text)
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if m:
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return float(m.group(1))
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return None
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#we run every variant a few times (1.log, 2.log, ...). keep the fastest run per size,
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#min cycles is the standard way to kill the OS/turbo noise.
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best = {}
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for variant in sorted(os.listdir(ROOT)):
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logdir = os.path.join(ROOT, variant, "x86")
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if not os.path.isdir(logdir):
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continue
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for fn in os.listdir(logdir):
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if not fn.endswith(".log"):
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continue
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text = open(os.path.join(logdir, fn)).read()
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marks = list(size_line.finditer(text))
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for i, m in enumerate(marks):
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n = int(m.group(1))
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n_iter = int(m.group(2))
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start = m.end()
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stop = marks[i + 1].start() if i + 1 < len(marks) else len(text)
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block = text[start:stop]
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cycles = num(r"T\(n\):\s*([\d.]+)", block)
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if cycles is None:
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continue
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W = num(r"W\(n\):\s*([\d.]+)", block)
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key = (variant, n)
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if key not in best or cycles < best[key][2]:
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best[key] = (variant, n, cycles, n_iter, W,
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num(r"Q\(n\) per iteration:\s*([\d.]+)", block),
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num(r"I\(n\):\s*([\d.]+)", block))
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with open(OUT, "w", newline="") as f:
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w = csv.writer(f)
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w.writerow(["variant", "n", "n_iter", "W", "Q_per_iter", "I", "cycles", "flops_per_cycle"])
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for variant, n in sorted(best):
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_, _, cycles, n_iter, W, q, I = best[(variant, n)]
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fc = W / cycles
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w.writerow([variant, n, n_iter, W, q, I, round(cycles, 1), round(fc, 3)])
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print("wrote", OUT, "with", len(best), "rows") |