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import matplotlib.pyplot as plt
import numpy as np
import os
from urllib.request import urlretrieve
import subprocess
import sys
from src.benchmark import Benchmark
from src.util import print_status
class BenchmarkLld(Benchmark):
def __init__(self):
self.name = "lld"
self.descrition = """This benchmark runs the lld benchmarks provided
by the llvm project."""
self.run_dir = "lld-speed-test/{test}"
# TODO: don't hardcode ld.lld location
self.cmd = "/usr/bin/ld.lld @response.txt"
self.args = {"test": ["chrome", "clang-fsds", "gold", "linux-kernel",
"llvm-as-fsds", "scylla", "clang", "clang-gdb-index",
"gold-fsds", "llvm-as", "mozilla"]}
self.requirements = ["ld.lld"]
super().__init__()
def prepare(self):
super().prepare()
def reporthook(blocknum, blocksize, totalsize):
readsofar = blocknum * blocksize
if totalsize > 0:
percent = readsofar * 1e2 / totalsize
s = "\r%5.1f%% %*d / %d" % (
percent, len(str(totalsize)), readsofar, totalsize)
sys.stderr.write(s)
else: # total size is unknown
sys.stderr.write("\rdownloaded %d" % (readsofar,))
test_dir = "lld-speed-test"
test_archive = f"{test_dir}.tar.xz"
if not os.path.isdir(test_dir):
if not os.path.isfile(test_archive):
choice = input("Download missing test archive (1.1GB) [Y/n/x] ")
if not choice in ['', 'Y', 'y']:
return False
url = f"https://s3-us-west-2.amazonaws.com/linker-tests/{test_archive}"
urlretrieve(url, test_archive, reporthook)
sys.stderr.write("\n")
# Extract tests
p = subprocess.run(["tar", "xf", test_archive], stdout=subprocess.PIPE,
stderr=subprocess.PIPE, universal_newlines=True)
# delete archive
if p.returncode == 0:
os.remove(test_archive)
self.args["test"] = os.listdir(test_dir)
return True
def cleanup(self):
for perm in self.iterate_args():
a_out = os.path.join("lld-speed-test", perm.test, "a.out")
if os.path.isfile(a_out):
os.remove(a_out)
def summary(self):
args = self.results["args"]
allocators = self.results["allocators"]
for perm in self.iterate_args(args=args):
for i, allocator in enumerate(allocators):
plt.bar([i],
self.results["stats"][allocator][perm]["mean"]["task-clock"],
yerr=self.results["stats"][allocator][perm]["std"]["task-clock"],
label=allocator, color=allocators[allocator]["color"])
plt.legend(loc="best")
plt.ylabel("Zeit in ms")
plt.title(f"Gesamte Laufzeit {perm.test}")
plt.savefig(".".join([self.name, perm.test, "runtime", "png"]))
plt.clf()
# TODO: get memusage
# Memusage
# self.barplot_single_arg("{VmHWM}",
# ylabel='"Max RSS in KB"',
# title='"Highwatermark of Vm (VmHWM)"',
# filepostfix="rss")
# self.export_stats_to_csv("VmHWM")
self.export_stats_to_csv("task-clock")
# self.export_stats_to_dataref("VmHWM")
self.export_stats_to_dataref("task-clock")
lld = BenchmarkLld()
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