def run(self, threads):
"""Run OpenSSL three times.
Args:
threads (int): The total number of threads on the system.
Returns:
If success, a dict containing (unit, run1, run2, run3, average,
median).
unit (str): Score units.
run1 (list): A list of (encrypt, decrypt).
encrypt (float): The encryption score for the first run.
decrypt (float): The decryption score for the first run.
run2 (list): A list of (encrypt, decrypt).
encrypt (float): The encryption score for the second run.
decrypt (float): The decryption score for the second run.
run3 (list): A list of (encrypt, decrypt).
encrypt (float): The encryption score for the third run.
decrypt (float): The decryption score for the third run.
average (list): A list of (encrypt, decrypt).
encrypt (float): The encryption average of run1, run2, and
run3.
decrypt (float): The decryption average of run1, run2, and
run3.
median (list): A list of (encrypt, decrypt).
encrypt (float): The encryption median of run1, run2, and
run3.
decrypt (float): The decryption median of run1, run2, and
run3.
Else, a dict containing (error).
error (str): Error message.
"""
taskset_ids = self.__taskset_ids(threads)
multi_num = self.__multi_num(threads, taskset_ids)
bin_loc = self.openssl_dir + "/apps/openssl"
results = {
"aes-128-gcm": {
"unit": "B/s",
"score_size": 8192,
"score_size_unit": "B",
"test_bit_size": 128,
"test": "AES-GCM",
},
"aes-256-gcm": {
"unit": "B/s",
"score_size": 8192,
"score_size_unit": "B",
"test_bit_size": 256,
"test": "AES-GCM",
},
}
shell_env = os.environ.copy()
if "LD_LIBRARY_PATH" in shell_env:
shell_env["LD_LIBRARY_PATH"] = "{}:{}".format(
shell_env["LD_LIBRARY_PATH"], self.openssl_dir)
else:
shell_env["LD_LIBRARY_PATH"] = self.openssl_dir
if not os.path.isfile(bin_loc):
text = 'Could not find OpenSSL binaries at "{}".'.format(bin_loc)
prettify.error_message(text)
return {"error": text}
logging.info(
"Running OpenSSL on ids %s using a total of %d threads.",
taskset_ids,
multi_num,
)
os.makedirs(self.results_dir, exist_ok=True)
for test in results:
encrypt_results = []
decrypt_results = []
cmd_base = "taskset -c {} {} speed -multi {} -evp {}".format(
taskset_ids, bin_loc, multi_num, test)
cmd_decrypt = cmd_base + " -decrypt"
self.commands.append("Run: " + cmd_base)
self.commands.append("Run: " + cmd_decrypt)
for count in range(1, 4):
run_num = "run" + str(count)
encrypt_result_file = "{}/openssl_{}_encrypt_{}.txt".format(
self.results_dir, test, run_num)
decrypt_result_file = "{}/openssl_{}_decrypt_{}.txt".format(
self.results_dir, test, run_num)
cmd_decrypt = cmd_base + " -decrypt"
logging.debug("Encrypt command: %s", cmd_base)
logging.debug("LD_LIBRARY_PATH: %s",
shell_env["LD_LIBRARY_PATH"])
optimize.prerun()
time.sleep(10)
encrypt_output = execute.output(cmd_base, environment=shell_env)
file.write(encrypt_result_file, encrypt_output)
logging.debug("Decrypt command: %s", cmd_base)
logging.debug("LD_LIBRARY_PATH: %s",
shell_env["LD_LIBRARY_PATH"])
optimize.prerun()
time.sleep(10)
decrypt_output = execute.output(cmd_decrypt,
environment=shell_env)
file.write(decrypt_result_file, decrypt_output)
encrypt_scores = encrypt_output.rstrip().split("\n")
decrypt_scores = decrypt_output.rstrip().split("\n")
if not encrypt_scores:
continue
if not decrypt_scores:
continue
encrypt_score = encrypt_scores[-1].split()[6]
decrypt_score = decrypt_scores[-1].split()[6]
if "k" in encrypt_score:
encrypt_score = re.sub(r"[^0-9.]", "", encrypt_score)
if "k" in decrypt_score:
decrypt_score = re.sub(r"[^0-9.]", "", decrypt_score)
# The 'numbers' are in 1000s of bytes per second processed.
encrypt_score = float(encrypt_score) * 1000.0
decrypt_score = float(decrypt_score) * 1000.0
encrypt_results.append(encrypt_score)
decrypt_results.append(decrypt_score)
results[test][run_num] = {}
results[test][run_num]["encrypt"] = encrypt_score
results[test][run_num]["decrypt"] = decrypt_score
if encrypt_results and decrypt_results:
results[test]["average"] = {}
results[test]["average"]["encrypt"] = statistics.mean(
encrypt_results)
results[test]["average"]["decrypt"] = statistics.mean(
decrypt_results)
results[test]["median"] = {}
results[test]["median"]["encrypt"] = statistics.median(
encrypt_results)
results[test]["median"]["decrypt"] = statistics.median(
decrypt_results)
results[test]["variance"] = {}
results[test]["variance"]["encrypt"] = statistics.variance(
encrypt_results)
results[test]["variance"]["decrypt"] = statistics.variance(
decrypt_results)
results[test]["range"] = {}
sorted_encrypt = sorted(encrypt_results)
results[test]["range"]["encrypt"] = (sorted_encrypt[-1] -
sorted_encrypt[0])
sorted_decrypt = sorted(decrypt_results)
results[test]["range"]["decrypt"] = (sorted_decrypt[-1] -
sorted_decrypt[0])
logging.info("OpenSSL results: %s", str(results))
return results
def run(self, threads):
"""Run YCSB with MySQL three times.
Args:
threads (int): The number of threads on the system.
"""
shell_env = os.environ.copy()
maven_dir = self.src_dir + "/maven"
error = False
results = {"unit": {"throughput": "ops/sec", "latency": "us"}}
if os.path.isdir(maven_dir):
shell_env["M2_HOME"] = maven_dir
shell_env["M2"] = maven_dir + "/bin"
else:
return {"error": "Maven not found."}
mysql_dir = self.src_dir + "/mysql"
mysql_data = mysql_dir + "/mysql-files"
if not os.path.exists(mysql_data + "/ycsb"):
text = 'Unable to find "ycsb" table in MySQL.'
prettify.error_message(text)
return {"error": text}
os.makedirs(self.results_dir, exist_ok=True)
# Start MySQL service
subprocess.Popen(
"{0}/bin/mysqld_safe --user=root --basedir={0} --datadir={1} "
"--plugin-dir={0}/lib/plugin --pid-file=/tmp/mysql.pid "
"--log-error=ycsb.err &".format(mysql_dir, mysql_data),
cwd=mysql_dir,
shell=True,
env=shell_env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
time.sleep(20)
read_latency_results = []
update_latency_results = []
throughput_results = []
run_cmd = ("./bin/ycsb run jdbc -s -P workloads/workloada -p "
"db.driver=com.mysql.jdbc.Driver -p "
"db.url=jdbc:mysql://localhost:3306/ycsb?useSSL=false -p "
'db.user=root -p db.passwd="" -threads {} -p '
"operationcount=1000000".format(threads))
self.commands.append("Run: " + run_cmd)
for count in range(1, 4):
run_num = "run" + str(count)
result_file = "{}/ycsb-sql_{}.txt".format(self.results_dir, run_num)
optimize.prerun()
time.sleep(10)
# Run YCSB
output = execute.output(run_cmd,
working_dir=self.ycsb_dir,
environment=shell_env)
file.write(result_file, output)
if "UPDATE-FAILED" in output or "READ-FAILED" in output:
error = True
break
throughput_line = grep.text(output,
r"\[OVERALL\], Throughput\(ops/sec\),")
if throughput_line:
throughput = float(throughput_line[-1].split(",")[2].strip())
throughput_results.append(throughput)
readlat_line = grep.text(output,
r"\[READ\], 95thPercentileLatency\(us\),")
if readlat_line:
readlat = float(readlat_line[-1].split(",")[2].strip())
read_latency_results.append(readlat)
updatelat_line = grep.text(
output, r"\[UPDATE\], 95thPercentileLatency\(us\),")
if updatelat_line:
updatelat = float(updatelat_line[-1].split(",")[2].strip())
update_latency_results.append(updatelat)
if throughput_line and readlat_line and updatelat_line:
results[run_num] = {
"throughput": throughput,
"read_latency": readlat,
"update_latency": updatelat,
}
# Stop MySQL service
if os.path.exists("/tmp/mysql.pid"):
pid = file.read("/tmp/mysql.pid").strip()
execute.kill(pid)
execute.kill(pid)
execute.kill(pid)
if error:
return {"error": "YCSB failed to update and/or read database."}
if "run1" in results:
results["average"] = {}
results["median"] = {}
results["variance"] = {}
results["range"] = {}
results["average"]["throughput"] = statistics.mean(
throughput_results)
results["median"]["throughput"] = statistics.median(
throughput_results)
results["variance"]["throughput"] = statistics.variance(
throughput_results)
sorted_throughput = sorted(throughput_results)
results["range"]["throughput"] = (sorted_throughput[-1] -
sorted_throughput[0])
results["average"]["read_latency"] = statistics.mean(
read_latency_results)
results["median"]["read_latency"] = statistics.median(
read_latency_results)
results["variance"]["read_latency"] = statistics.variance(
read_latency_results)
sorted_read_latency = sorted(read_latency_results)
results["range"]["read_latency"] = (sorted_read_latency[-1] -
sorted_read_latency[0])
results["average"]["update_latency"] = statistics.mean(
update_latency_results)
results["median"]["update_latency"] = statistics.median(
update_latency_results)
results["variance"]["update_latency"] = statistics.variance(
update_latency_results)
sorted_update_latency = sorted(update_latency_results)
results["range"]["update_latency"] = (sorted_update_latency[-1] -
sorted_update_latency[0])
logging.info("YCSB MySQL results: %s", str(results))
return results
def run(self, cores=None, cflags=None):
"""Run three timed Linux kernel compilations.
Args:
cores (int, optional): The number of cores on the system.
Returns:
If success, a dict containing (unit, run1, run2, run3, average,
median).
unit (str): Score units.
run1 (float): Score for the first run.
run2 (float): Score for the second run.
run3 (float): Score for the third run.
average (float): Average of run1, run2, and run3.
median (float): Median of run1, run2, and run3.
Else, a dict containing (error).
error (str): Error message.
"""
if cores is None:
cores = 1
if cflags is None:
cflags = "-march=native -mtune=native"
if "-O" not in cflags:
cflags += " -O3 "
shell_env = os.environ.copy()
shell_env["CFLAGS"] = cflags
results = {"unit": "s"}
config_loc = self.kernel_dir + "/.config"
tmp_results = []
if not os.path.isfile(config_loc):
text = ('Cannot run timed Linux kernel because "{}" could not '
"be found.".format(config_loc))
prettify.error_message(text)
return {"error": text}
logging.info(
"Running timed Linux kernel compilation using %d Make "
"thread.", cores)
os.makedirs(self.results_dir, exist_ok=True)
clean_cmd = "make -s -j {} clean".format(cores)
build_cmd = "make -s -j {}".format(cores)
self.commands.append("Run: CFLAGS = " + cflags)
self.commands.append("Prerun: " + clean_cmd)
self.commands.append("Run: " + build_cmd)
for count in range(1, 4):
run_num = "run" + str(count)
result_file = "{}/zlib_{}.txt".format(self.results_dir, run_num)
execute.output(clean_cmd, self.kernel_dir, environment=shell_env)
optimize.prerun()
time.sleep(10)
compile_speed = execute.timed(build_cmd,
working_dir=self.kernel_dir,
environment=shell_env)
if (not os.path.isfile(self.kernel_dir + "/vmlinux")
or compile_speed is None):
return {"error": "Linux Kernel failed to compile."}
file.write(
result_file,
"{}\nLinux Kernel Compilation Speed: {}\n".format(
build_cmd, compile_speed),
)
results[run_num] = float(compile_speed)
tmp_results.append(compile_speed)
if tmp_results:
results["average"] = statistics.mean(tmp_results)
results["median"] = statistics.median(tmp_results)
results["variance"] = statistics.variance(tmp_results)
sorted_results = sorted(tmp_results)
results["range"] = sorted_results[-1] - sorted_results[0]
logging.info("Timed Linux kernel compilation results:\n%s",
str(results))
return results
def run(self, threads):
"""Run YCSB with Cassandra three times.
Args:
threads (int): The number of threads on the system.
"""
pid = None
shell_env = os.environ.copy()
maven_dir = self.src_dir + "/maven"
error = False
results = {"unit": {"throughput": "ops/sec", "latency": "us"}}
if os.path.isdir(maven_dir):
shell_env["M2_HOME"] = maven_dir
shell_env["M2"] = maven_dir + "/bin"
else:
prettify.error_message("Maven could not be found.")
return False
cassandra_dir = self.src_dir + "/cassandra"
if not os.path.exists(cassandra_dir + "/data/data/ycsb"):
text = 'Unable to find "ycsb" table in Cassandra.'
prettify.error_message(text)
return {"error": text}
read_latency_results = []
update_latency_results = []
throughput_results = []
os.makedirs(self.results_dir, exist_ok=True)
# Start Cassandra service
subprocess.Popen(
"./bin/cassandra -R -p /tmp/cassandra.pid &",
shell=True,
cwd=cassandra_dir,
env=shell_env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
time.sleep(20)
if os.path.isfile("/tmp/cassandra.pid"):
pid = file.read("/tmp/cassandra.pid").strip()
if not pid or not os.path.dirname("/proc/" + pid):
text = "Cassandra failed to start."
prettify.error_message(text)
return {"error": text}
run_cmd = ("./bin/ycsb run cassandra-cql -s -P workloads/workloada "
'-p hosts="localhost" -threads {} '
"-p operationcount=10000000".format(threads))
self.commands.append("Run: " + run_cmd)
for count in range(1, 4):
run_num = "run" + str(count)
result_file = "{}/ycsb-nosql_{}.txt".format(self.results_dir,
run_num)
optimize.prerun()
time.sleep(10)
output = execute.output(run_cmd,
working_dir=self.ycsb_dir,
environment=shell_env)
file.write(result_file, output)
if "UPDATE-FAILED" in output or "READ-FAILED" in output:
error = True
break
throughput_line = grep.text(output,
r"\[OVERALL\], Throughput\(ops/sec\),")
if throughput_line:
throughput = float(throughput_line[-1].split(",")[2].strip())
throughput_results.append(throughput)
readlat_line = grep.text(output,
r"\[READ\], 95thPercentileLatency\(us\),")
if readlat_line:
readlat = float(readlat_line[-1].split(",")[2].strip())
read_latency_results.append(readlat)
updatelat_line = grep.text(
output, r"\[UPDATE\], 95thPercentileLatency\(us\),")
if updatelat_line:
updatelat = float(updatelat_line[-1].split(",")[2].strip())
update_latency_results.append(updatelat)
if throughput_line and readlat_line and updatelat_line:
results[run_num] = {
"throughput": throughput,
"read_latency": readlat,
"update_latency": updatelat,
}
# Stop Cassandra service
if pid:
execute.kill(pid)
execute.kill(pid)
execute.kill(pid)
if error:
return {"error": "YCSB failed to update and/or read database."}
if "run1" in results:
results["average"] = {}
results["median"] = {}
results["variance"] = {}
results["range"] = {}
results["average"]["throughput"] = statistics.mean(
throughput_results)
results["median"]["throughput"] = statistics.median(
throughput_results)
results["variance"]["throughput"] = statistics.variance(
throughput_results)
sorted_throughput = sorted(throughput_results)
results["range"]["throughput"] = (sorted_throughput[-1] -
sorted_throughput[0])
results["average"]["read_latency"] = statistics.mean(
read_latency_results)
results["median"]["read_latency"] = statistics.median(
read_latency_results)
results["variance"]["read_latency"] = statistics.variance(
read_latency_results)
sorted_read_latency = sorted(read_latency_results)
results["range"]["read_latency"] = (sorted_read_latency[-1] -
sorted_read_latency[0])
results["average"]["update_latency"] = statistics.mean(
update_latency_results)
results["median"]["update_latency"] = statistics.median(
update_latency_results)
results["variance"]["update_latency"] = statistics.variance(
update_latency_results)
sorted_update_latency = sorted(update_latency_results)
results["range"]["update_latency"] = (sorted_update_latency[-1] -
sorted_update_latency[0])
logging.info("YCSB Cassandra results: %s", str(results))
return results
def run(self, threads):
"""Run GCC compiled STREAM three times.
Args:
threads (int): The total number of threads on the system.
Returns:
If success, a dict containing (unit, run1, run2, run3, average,
median).
unit (str): Score units.
run1 (float): Score for the first run.
run2 (float): Score for the second run.
run3 (float): Score for the third run.
average (float): Average of run1, run2, and run3.
median (float): Median of run1, run2, and run3.
Else, a dict containing (error).
error (str): Error message.
"""
stream_bin = self.stream_dir + "/stream"
shell_env = os.environ.copy()
shell_env["OMP_NUM_THREADS"] = str(threads)
mpi_root = self.src_dir + "/openmpi/build"
mpi_path = mpi_root + "/bin"
mpi_lib = mpi_root + "/lib"
shell_env["PATH"] += ":" + mpi_path
if "LD_LIBRARY_PATH" in shell_env:
shell_env["LD_LIBRARY_PATH"] += mpi_lib
else:
shell_env["LD_LIBRARY_PATH"] = mpi_lib
results = {"unit": "MB/s"}
shell_env["OMP_PROC_BIND"] = "true"
if not os.path.isfile(stream_bin):
text = 'Cannot run STREAM because "{}" could not be found.'.format(
stream_bin)
prettify.error_message(text)
return {"error": text}
logging.info("Running STREAM with %d OMP threads.", threads)
os.makedirs(self.results_dir, exist_ok=True)
tmp_results = []
cmd = "./stream"
self.commands.append("Run: OMP_NUM_THREADS = " + str(threads))
self.commands.append("Run: OMP_PROC_BIND = true")
self.commands.append("Run: " + cmd)
for count in range(1, 4):
run_num = "run" + str(count)
result_file = "{}/stream_{}.txt".format(self.results_dir, run_num)
optimize.prerun()
time.sleep(10)
output = execute.output(cmd,
working_dir=self.stream_dir,
environment=shell_env)
file.write(result_file, output)
result = grep.text(output, "Triad")
result = result[0].split()[1] # 2nd word
result = float(result)
results[run_num] = result
tmp_results.append(result)
results["average"] = statistics.mean(tmp_results)
results["median"] = statistics.median(tmp_results)
results["variance"] = statistics.variance(tmp_results)
sorted_results = sorted(tmp_results)
results["range"] = sorted_results[-1] - sorted_results[0]
logging.info("STREAM results: %s", str(results))
return results
def run(self):
"""Run zlib compression (level 6) and decompression three times.
Returns:
If success, a dict containing (unit, run1, run2, run3, average,
median).
unit (str): Score units.
run1 (list): A list of (compress, decompress).
compress (float): The compression score for the first run.
decompress (float): The decompression score for the first
run.
run2 (list): A list of (compress, decompress).
compress (float): The compression score for the second run.
decompress (float): The decompression score for the second
run.
run3 (list): A list of (compress, decompress).
compress (float): The compression score for the third run.
decompress (float): The decompression score for the third
run.
average (list): A list of (compress, decompress).
compress (float): The compression average of run1, run2,
and run3.
decompress (float): The decompression average of run1,
run2, and run3.
median (list): A list of (compress, decompress).
compress (float): The compression median of run1, run2, and
run3.
decompress (float): The decompression median of run1, run2,
and run3.
Else, a dict containing (error).
error (str): Error message.
"""
bin32_loc = self.zlib_dir + "/minigzip"
bin64_loc = self.zlib_dir + "/minigzip64"
level = 6
corpus_file = self.corpus_dir + "/corpus.txt"
corpus_archive = corpus_file + ".zlib"
results = {"unit": "s"}
compress_times = []
decompress_times = []
if not os.path.isfile(bin32_loc) or not os.path.isfile(bin64_loc):
text = ('Cannot run zlib because neither "{}" or "{}" could not be'
" found.".format(bin32_loc, bin64_loc))
prettify.error_message(text)
return {"error": text}
if not os.path.isfile(corpus_file):
self.create_corpus()
logging.info("Running zlib.")
used_bin = bin64_loc
if not os.path.isfile(bin64_loc):
used_bin = bin32_loc
os.makedirs(self.results_dir, exist_ok=True)
compress_warmup = "{} -1 < {} > /dev/null".format(used_bin, corpus_file)
compress_cmd = "{} -{} < {} > {}".format(used_bin, level, corpus_file,
corpus_archive)
decompress_warmup = "{} -d < {} > /dev/null".format(
used_bin, corpus_archive)
decompress_cmd = "{} -d < {} > /dev/null".format(
used_bin, corpus_archive)
self.commands.append("Run - Warmup: " + compress_warmup)
self.commands.append("Run: " + compress_cmd)
self.commands.append("Run - Warmup: " + decompress_warmup)
self.commands.append("Run: " + decompress_cmd)
for count in range(1, 4):
run_num = "run" + str(count)
result_file = "{}/zlib_{}.txt".format(self.results_dir, run_num)
optimize.prerun()
time.sleep(10)
# warm up
execute.output(compress_warmup, self.corpus_dir)
compress_time = execute.timed(compress_cmd, self.corpus_dir)
optimize.prerun()
time.sleep(10)
# warm up
execute.output(decompress_warmup, self.corpus_dir)
decompress_time = execute.timed(decompress_cmd, self.corpus_dir)
file.write(
result_file,
"Compress Time (Level {}): {}\n"
"Decompress Time: {}\n".format(level, compress_time,
decompress_time),
)
compress_times.append(compress_time)
decompress_times.append(decompress_time)
results[run_num] = {}
results[run_num]["compress"] = compress_time
results[run_num]["decompress"] = decompress_time
os.remove(corpus_archive)
results["average"] = {}
results["average"]["compress"] = statistics.mean(compress_times)
results["average"]["decompress"] = statistics.mean(decompress_times)
results["median"] = {}
results["median"]["compress"] = statistics.median(compress_times)
results["median"]["decompress"] = statistics.median(decompress_times)
results["variance"] = {}
results["variance"]["compress"] = statistics.variance(compress_times)
results["variance"]["decompress"] = statistics.variance(
decompress_times)
results["range"] = {}
sorted_compress_times = sorted(compress_times)
sorted_decompress_times = sorted(decompress_times)
results["range"]["compress"] = (sorted_compress_times[-1] -
sorted_compress_times[0])
results["range"]["decompress"] = (sorted_decompress_times[-1] -
sorted_decompress_times[0])
logging.info("zlib results: %s", str(results))
return results
def run(self, cores=None, cflags=None):
"""Runs Docker containers to compile the Linux kernel.
Returns:
If success, a dict containing (unit, times, average, median,
variance, range).
unit (str): Score units.
times (list): All compile times for the kernel.
average (float): Average of the times.
median (float): Median of the times.
variance (float): Variance of the times.
range (float): Range of the times.
Else, a dict containing (error).
error (str): Error message.
"""
if cores is None:
cores = 1
if cflags is None:
cflags = "-march=native -mtune=native"
if "-O" not in cflags:
cflags += " -O3 "
shell_env = os.environ.copy()
shell_env["CFLAGS"] = cflags
shell_env["PATH"] = self.docker_dir + ":" + shell_env["PATH"]
pid_file = "/tmp/docker.pid"
build_name = "compile_kernel"
result_file = self.results_dir + "/times.txt"
results = {"unit": "s"}
times = []
procs = []
os.makedirs(self.results_dir, exist_ok=True)
shutil.copyfile(self.docker_dir + "/Dockerfile",
self.results_dir + "/Dockerfile")
if not os.path.isfile(self.docker_dir + "/dockerd"):
message = "Cannot build. Docker directory not found."
prettify.error_message(message)
return {"error": message}
# Start Docker daemon
subprocess.Popen(
"{}/dockerd --pidfile {} --data-root {} &".format(
self.docker_dir, pid_file, self.data_dir),
cwd=self.docker_dir,
shell=True,
env=shell_env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
logging.info("Docker daemon is running.")
time.sleep(20)
if not self.__image_built(build_name, env=shell_env):
if os.path.exists(pid_file):
pid = file.read(pid_file).strip()
execute.kill(pid)
message = "Cannot build. Docker image not found."
prettify.error_message(message)
return {"error": message}
logging.info("Docker is about to run.")
# Remove all previously ran containers
try:
containers = execute.output(
"{}/docker ps -a -q".format(self.docker_dir),
working_dir=self.docker_dir,
environment=shell_env,
)
if containers:
execute.output(
"{0}/docker rm $({0}/docker ps -a -q)".format(
self.docker_dir),
working_dir=self.docker_dir,
environment=shell_env,
)
except subprocess.SubprocessError as err:
logging.debug(err)
optimize.prerun()
time.sleep(10)
for count in range(0, 100):
test_name = build_name + "_test{}".format(count)
# Note: We avoid using `-i -t` because it causes TTY issues
# with SSH connections.
run_command = ("{}/docker run --ulimit nofile=1048576:1048576 "
'-e "cores={}" -e "cflags={}" --name {} {}'.format(
self.docker_dir, cores, cflags, test_name,
build_name))
if count == 0:
self.commands.append("Run: " + run_command)
proc = subprocess.Popen(
run_command,
shell=True,
cwd=self.docker_dir,
env=shell_env,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
universal_newlines=True,
)
procs.append(proc)
for proc in procs:
stdout = proc.communicate()[0]
if isinstance(stdout, bytes):
stdout = stdout.decode()
stdout = stdout.strip()
try:
stdout = float(stdout)
file.write(result_file, "{}\n".format(stdout), append=True)
times.append(stdout)
except ValueError:
logging.debug("Container failed to finish.")
logging.debug(stdout)
# Remove all previously ran containers
try:
containers = execute.output(
"{}/docker ps -a -q".format(self.docker_dir),
working_dir=self.docker_dir,
environment=shell_env,
)
if containers:
execute.output(
"{0}/docker stop $({0}/docker ps -a -q)".format(
self.docker_dir),
working_dir=self.docker_dir,
environment=shell_env,
)
execute.output(
"{0}/docker rm $({0}/docker ps -a -q)".format(
self.docker_dir),
working_dir=self.docker_dir,
environment=shell_env,
)
except subprocess.SubprocessError as err:
logging.debug(err)
# Stop Docker daemon
if os.path.exists(pid_file):
logging.info("Docker daemon is turning off.")
pid = file.read(pid_file).strip()
execute.kill(pid)
execute.kill(pid)
time.sleep(5)
if times:
results["times"] = times
results["median"] = statistics.median(times)
results["average"] = statistics.mean(times)
results["variance"] = statistics.variance(times)
sorted_times = sorted(times)
results["range"] = sorted_times[-1] - sorted_times[0]
else:
results["error"] = "No container times available."
return results
def run(self, mpi_threads, threads, arch=None):
"""Run High-Performance Linpack three times.
Args:
mpi_threads (int): The number of MPI threads used by LINPACK. This
number is usually the number of physical cores on the system.
threads (int): The total number of logical threads on the system.
arch (str, optional): The architecture type of the system.
Returns:
If success, a dict containing (unit, run1, run2, run3, average,
median).
unit (str): Score units.
run1 (float): Score for the first run.
run2 (float): Score for the second run.
run3 (float): Score for the third run.
average (float): Average of run1, run2, and run3.
median (float): Median of run1, run2, and run3.
Else, a dict containing (error).
error (str): Error message.
"""
if arch is None:
arch = "x86_64"
shell_env = os.environ.copy()
openmpi_dir = "{}/openmpi/build/bin".format(self.src_dir)
bin_dir = "{}/bin/{}".format(self.hpl_dir, arch)
bin_loc = bin_dir + "/xhpl"
results = {"unit": "GFLOPS", "mathlib": self.mathlib}
tmp_results = []
if not os.path.isfile(bin_loc):
text = 'Could not find HPL binaries at "{}".'.format(bin_loc)
prettify.error_message(text)
logging.error(text)
return {"error": text}
if not os.path.isdir(openmpi_dir):
text = 'Could not find OpenMPI directory at "{}".'.format(
openmpi_dir)
prettify.error_message(text)
logging.error(text)
return {"error": text}
grid = self.__grid(mpi_threads)
nb_size = self.__nb_size(threads)
mpi_cmd = "{}/mpirun -n {} --allow-run-as-root --mca mpi_paffinity_alone 1".format(
openmpi_dir, mpi_threads)
if threads == mpi_threads:
mpi_cmd = "{}/mpirun -n {} --allow-run-as-root".format(
openmpi_dir, mpi_threads)
logging.info('Running LINPACK using "%s" arch.', arch)
os.makedirs(self.results_dir, exist_ok=True)
shutil.copyfile(self.hpl_dir + "/Make." + arch, self.results_dir)
shutil.copyfile(self.hpl_dir + "/bin/{}/HPL.dat".format(arch),
self.results_dir)
cmd = mpi_cmd + " ./xhpl"
self.commands.append("Run: " + cmd)
optimize.prerun()
time.sleep(10)
output = execute.output(cmd,
working_dir=bin_dir,
environment=shell_env)
file.write(self.results_dir + "/linpack_output.txt", output)
result = grep.text(
output, r"\s+{}\s+{}\s+{}\s+".format(nb_size, grid.P, grid.Q))
for line in result:
# 7th word
tmp = float(line.split()[6])
tmp_results.append(tmp)
if tmp_results:
sorted_results = sorted(tmp_results)
results["score"] = sorted_results[-1]
logging.info("LINPACK results: %s", str(results))
return results