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Constant time

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This commit is contained in:
Pascal Engélibert 2026-03-13 14:58:15 +01:00
commit 7ae94371a8
5 changed files with 81 additions and 24 deletions
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58
plots.py
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@ -483,6 +483,62 @@ def cmp_versions(logs, exps, criteria, objs):
except ZeroDivisionError:
pass
def tabulate(lines):
widths = [0] * len(lines[0])
for line in lines:
for col in range(len(line)):
if len(line[col]) > widths[col]:
widths[col] = len(line[col])
table = ""
for line in lines:
for col in range(len(line)):
if col > 0:
table += " "
table += line[col]
table += " " * (widths[col] - len(line[col]))
table += "\n"
return table
def make_summary(logs):
plain_result_key = lambda log: (log["exp"], log["side"])
result_key = lambda log: (log["exp"], log["side"], log["impl"], log["alg"], log["kex"], log["cipher"], log["ed"])
plain_results = {}
results = {}
idle_val = None
for log in logs:
if log["exp"] == "idle":
idle_val = {
"cpu": float(log["cpu"]) / float(log["time"]),
"energy": float(log["Wh"]) / float(log["time"]) * 3600,
}
if log["tls"] == "0":
n = float(log.get("n", "1000"))
plain_results[plain_result_key(log)] = {
"cpu": (float(log["cpu"]) - idle_val["cpu"] * float(log["time"])) / n,
"energy": (float(log["Wh"]) * 3600 - idle_val["energy"] * float(log["time"])) / n
}
if log["exp"] != "idle" and log["tls"] == "1":
n = float(log.get("n", "1000"))
results[result_key(log)] = {
"cpu": (float(log["cpu"]) - idle_val["cpu"] * float(log["time"])) / n,
"energy": (float(log["Wh"]) * 3600 - idle_val["energy"] * float(log["time"])) / n
}
lines = [["key", "idle (W)", "no_tls (Ws/S)", "tls (Ws/S)", "tls_only (1)"]]
for k in results:
no_tls = plain_results[k[:2]]["energy"]
tls = results[k]["energy"]
lines.append([
"/".join([str(i) for i in k]),
str(idle_val["energy"]),
str(no_tls),
str(tls),
str((tls - no_tls) / tls),
])
print(tabulate(lines))
def getargv(arg:str, default="", n:int=1, args:list=sys.argv):
if arg in args and len(args) > args.index(arg)+n:
return args[args.index(arg)+n]
@ -537,6 +593,8 @@ if __name__ == "__main__":
make_profile_plot_grouped(logs, "impl-cipher-ver", "cipher", side, record, "impl", no_flamegraph=no_flamegraph, machine=machine, maketitle=maketitle, version="1.3")
make_profile_plot_grouped(logs, "impl-cert-ver", "cert", side, record, "impl", no_flamegraph=no_flamegraph, machine=machine, maketitle=maketitle, version="1.3")
make_profile_plot_grouped(logs, "impl-kex-ver", "kex", side, record, "impl", no_flamegraph=no_flamegraph, machine=machine, maketitle=maketitle, version="1.3")
elif cmd == "summary":
make_summary(logs)
elif cmd == "correl":
from scipy import stats
import matplotlib.pyplot as plt