Revision 817a9de4bbcc87bf5fb57ca85eecf0d566e0c414 authored by Sangyub Lee on 12 August 2024, 08:36:12 UTC, committed by GitHub on 12 August 2024, 08:36:12 UTC
* Remove old implementations * Add AIMer mem_opt C implementations for all NIST security levels * Add AIMer v2.1 reference C implementation --------- Co-authored-by: jhkwon3002 <jhkwon3002@gmail.com>
1 parent d5d4ed3
mupq.py
# SPDX-License-Identifier: Apache-2.0 or CC0-1.0
import abc
from collections import defaultdict
import contextlib
import re
import os
import os.path
import logging
import logging.handlers
import subprocess
import hashlib
import time
import statistics
from datetime import datetime
import tqdm
import sys
import traceback
class TqdmLoggingHandler(logging.StreamHandler):
def __init__(self, tqdm_class=tqdm.std.tqdm):
super(TqdmLoggingHandler, self).__init__()
self.tqdm_class = tqdm_class
def emit(self, record):
try:
msg = self.format(record)
self.tqdm_class.write(msg)
self.flush()
except (KeyboardInterrupt, SystemExit):
raise
except:
self.handleError(record)
formater = logging.Formatter("%(asctime)s %(name)s %(levelname)s: %(message)s")
stream_handler = TqdmLoggingHandler()
stream_handler.setLevel(logging.WARNING)
stream_handler.setFormatter(formater)
LOGFILE = "mupq.log"
file_handler = logging.handlers.RotatingFileHandler(LOGFILE, backupCount=10)
file_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(formater)
if os.path.isfile(LOGFILE):
file_handler.doRollover()
logging.basicConfig(level=logging.DEBUG, handlers=[stream_handler, file_handler], force=True)
class Implementation(object):
"""Contains some properties of a scheme implementation"""
#: regex to parse the paths into schemes
_path_regex = re.compile(
r'(?P<project>\S+/)?'
r'(?P<type>crypto_sign|crypto_kem)/'
r'(?P<scheme>\S+)/'
r'(?P<implementation>\S+)/?$')
#: regex to find source files
_source_regex = re.compile(r'.*\.(c|s|S)$')
def __init__(self, project, primitive, scheme, implementation, path, namespace, extraflags=[]):
"""Sets up this scheme"""
self.log = logging.getLogger(__class__.__name__)
self.project = project
self.primitive = primitive
self.scheme = scheme
self.implementation = implementation
self.path = path
if namespace == '':
self.namespace = None
else:
self.namespace = f"{namespace}_{scheme.replace('-','').upper()}_{implementation.upper()}_"
self.extraflags = extraflags
@classmethod
def from_path(cls, project, path, namespace, extraflags=[]):
"""
Construct a scheme implemenation from a path
Specify the project that owns it
"""
matches = cls._path_regex.match(path)
if not matches:
raise Exception(f"Unexpected path format: '{path}'")
return cls(project,
matches.group("type"),
matches.group("scheme"),
matches.group("implementation"),
path, namespace, extraflags)
def run_make(self, target):
makeflags = ["make",
f"IMPLEMENTATION_PATH={self.path}"]
if self.namespace is not None:
makeflags.append(f"MUPQ_NAMESPACE={self.namespace}")
makeflags.extend(self.extraflags)
makeflags.append(target)
p = subprocess.Popen(makeflags, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
ret = p.wait()
stdout = p.stdout.read()
stderr = p.stdout.read()
if len(stdout) > 0:
self.log.log(logging.ERROR if ret else logging.DEBUG,
"make stdout output:\n" + stdout.decode("utf8").strip())
if len(stderr) > 0:
self.log.log(logging.ERROR if ret else logging.WARNING,
"make stderr output:\n" + stderr.decode("utf8").strip())
if ret:
self.log.error("make return code %d", ret)
return ret
def get_binary_path(self, test_type, bin_type=None):
if bin_type is None:
return f'bin/{self.path.replace("/", "_")}_{test_type}'
else:
return f'bin/{self.path.replace("/", "_")}_{test_type}.{bin_type}'
def build_binary(self, test_type, bin_type):
self.log.info("Building %s - %s", self, test_type)
self.run_make(self.get_binary_path(test_type, bin_type))
def get_object_path(self, source):
return f'obj/{self.path}/{source}'
def get_library_path(self):
return f'obj/lib{self.path.replace("/", "_")}.a'
def build_library(self):
self.log.info("Building %s library", self)
self.run_make(self.get_library_path())
def __str__(self):
return f"{self.scheme} - {self.implementation}"
class PlatformSettings(object):
"""Contains the settings for a certain platform"""
scheme_folders = [
('pqclean', 'mupq/pqclean/crypto_kem', 'PQCLEAN'),
('pqclean', 'mupq/pqclean/crypto_sign', 'PQCLEAN'),
]
skip_list = []
name = None
makeflags = []
size_executable = 'arm-none-eabi-size'
binary_type = 'bin'
def __init__(self):
self.log = logging.getLogger(__class__.__name__)
def __str__(self):
return self.name
def get_implementations(self, all=False):
"""Get the schemes"""
try:
for (parent, scheme_folder, namespace) in self.scheme_folders:
for scheme in os.listdir(scheme_folder):
scheme_path = os.path.join(scheme_folder, scheme)
if not os.path.isdir(scheme_path):
continue
for implementation_path in os.listdir(scheme_path):
if implementation_path in ["avx", "avx2", "aesni", "sse", "aarch64"]:
continue
path = os.path.join(scheme_path,
implementation_path)
if not os.path.isdir(path):
continue
impl = Implementation.from_path(parent, path, namespace, self.makeflags)
if not all and self.should_skip(impl):
continue
yield impl
except FileNotFoundError as e:
raise Exception(
"There is no bin/ folder. Please first make binaries."
) from e
def should_skip(self, impl):
"""Should this Implementation be skipped?"""
for item in self.skip_list:
match = len(item) > 0
for attribute, value in item.items():
if getattr(impl, attribute) != value:
match = False
if match:
return True
return False
class Platform(contextlib.AbstractContextManager):
"""Generic platform interface"""
def __init__(self):
self.log = logging.getLogger(__class__.__name__)
def __enter__(self):
return super().__enter__()
def __exit__(self, *args, **kwargs):
return super().__exit__(*args, **kwargs)
def device(self):
raise NotImplementedError("Override this")
@abc.abstractmethod
def run(self, binary_path):
"""Runs the flashed target and collects the result"""
raise NotImplementedError("Override this")
class BoardTestCase(abc.ABC):
"""
Generic test class to run tests on all schemes.
Generally you want to override run_test to parse the output of the tests
running on the board.
"""
test_type = 'undefined'
iterations = 1
def __init__(self, settings, interface):
self.platform_settings = settings
self.interface = interface
self.log = logging.getLogger(__class__.__name__)
def get_implementations(self, all=False):
return self.platform_settings.get_implementations(all)
@abc.abstractmethod
def run_test(self, implementation):
self.log.info("Runnning %s - %s", implementation, self.test_type)
implementation.build_binary(f'{self.test_type}',
self.platform_settings.binary_type)
binary = implementation.get_binary_path(f'{self.test_type}',
self.platform_settings.binary_type)
try:
output = self.interface.run(binary, self.iterations)
return output
except Exception as e:
tb = "\n".join(traceback.format_exception(e))
self.log.error("Running %s - %s failed with exception: %s", implementation, self.test_type, tb)
return -1
def test_all(self, args=[]):
implementations = []
exclude = "--exclude" in args
for implementation in self.get_implementations():
if exclude and implementation.scheme in args:
continue
if not exclude and len(args) > 0 and implementation.scheme not in args:
continue
implementations.append(implementation)
with tqdm.tqdm(total=len(implementations), desc=self.test_type) as pb:
for implementation in implementations:
pb.set_postfix_str(f"{implementation}")
if self.run_test(implementation) == -1:
pb.write(f"{implementation} FAILED")
return -1
pb.write(f"{implementation} SUCCESSFUL")
pb.update()
class SimpleTest(BoardTestCase):
test_type = 'test'
def run_test(self, implementation):
self.iterations = 30
output = super().run_test(implementation).strip()
if output.count("ERROR") or output.count("OK") != 30:
self.log.error("Test %s - %s Failed!", implementation, self.test_type)
return -1
else:
self.log.info("Test %s - %s Successful", implementation, self.test_type)
return 0
class StackBenchmark(BoardTestCase):
test_type = 'stack'
def write_result(self, implementation, result):
timestamp = datetime.fromtimestamp(
time.time()).strftime('%Y%m%d%H%M%S')
filename = os.path.join(
'benchmarks/',
self.test_type, implementation.primitive,
implementation.scheme, implementation.implementation,
timestamp)
os.makedirs(os.path.dirname(filename), exist_ok=True)
# if result contains multiple iterations, they are separated by +
if "+" in result:
results = result.split("+")[:-1]
for idx, result in enumerate(results):
with open(f"{filename}_{idx}", 'w') as f:
f.write(result)
else:
with open(filename, 'w') as f:
f.write(result)
def run_test(self, implementation):
self.log.info("Benchmarking %s", implementation)
output = super().run_test(implementation)
if output == -1:
return -1
self.write_result(implementation, output)
if "ERROR" in output:
return -1
else:
return 0
class SpeedBenchmark(StackBenchmark):
test_type = 'speed'
def __init__(self, *args, **kwargs):
super(SpeedBenchmark, self).__init__(*args, **kwargs)
self.iterations = self.platform_settings.iterations
class HashingBenchmark(StackBenchmark):
test_type = 'hashing'
class SizeBenchmark(StackBenchmark):
test_type = 'size'
def run_test(self, implementation):
self.log.info("Measuring %s", implementation)
implementation.build_library()
output = subprocess.check_output(
self.platform_settings.size_executable + ' -t ' + implementation.get_library_path(),
shell=True,
stderr=subprocess.DEVNULL,
universal_newlines=True)
sizes = output.splitlines()[-1].split('\t')
fsizes = (f'.text bytes:\n{sizes[0].strip()}\n'
f'.data bytes:\n{sizes[1].strip()}\n'
f'.bss bytes:\n{sizes[2].strip()}\n'
f'.total bytes:\n{sizes[3].strip()}\n')
super().write_result(implementation, fsizes)
class TestVectors(BoardTestCase):
test_type = 'testvectors'
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.testvectorhash = dict()
def hash_output(self, output):
hash = hashlib.sha3_256(output.strip()).hexdigest()
return hash
def run_test(self, implementation):
checksum = self.hash_output(
super().run_test(implementation).encode('utf-8'))
if self.testvectorhash[implementation.scheme] != checksum:
self.log.error("Test %s - %s Failed!", implementation, self.test_type)
return -1
else:
self.log.info("Test %s - %s Successful", implementation, self.test_type)
return 0
def _prepare_testvectors(self, exclude, args):
hostimpl = []
for scheme, implementations in self.schemes.items():
for impl in implementations:
if exclude and impl.scheme in args:
continue
if not exclude and len(args)>0 and impl.scheme not in args:
continue
if impl.implementation not in ('ref', 'clean', 'opt', 'opt-ct'):
continue
hostimpl.append(impl)
break
with tqdm.tqdm(total=len(hostimpl), desc="Prep. testvectors") as pb:
for impl in hostimpl:
# Build host version
pb.set_postfix_str(f"{impl}")
self.log.info("Running %s on host", impl)
binpath = impl.get_binary_path(self.test_type)
hostbin = binpath.replace('bin/', 'bin-host/')
impl.run_make(hostbin)
try:
checksum = self.hash_output(
subprocess.check_output(
[hostbin],
stderr=subprocess.DEVNULL,
))
except Exception as e:
self.log.error("Generating testvector for %s failed with exception: %s", impl, e)
self.testvectorhash[impl.scheme] = checksum
pb.update()
return 0
def test_all(self, args):
self.schemes = defaultdict(list)
for implementation in self.get_implementations(all=True):
self.schemes[implementation.scheme].append(implementation)
implementations = []
exclude = "--exclude" in args
for implementation in self.get_implementations():
if exclude and implementation.scheme in args:
continue
if not exclude and len(args) > 0 and implementation.scheme not in args:
continue
implementations.append(implementation)
self._prepare_testvectors(exclude, args)
with tqdm.tqdm(total=len(implementations), desc=self.test_type) as pb:
for implementation in implementations:
pb.set_postfix_str(f"{implementation}")
if self.run_test(implementation) == -1:
pb.write(f"{implementation} FAILED")
return -1
pb.write(f"{implementation} SUCCESSFUL")
pb.update()
class BuildAll(BoardTestCase):
def __init__(self, settings):
super().__init__(settings, None)
def run_test(self, implementation):
for test_type in ('test', 'testvectors', 'speed', 'hashing', 'stack'):
implementation.build_binary(test_type,
self.platform_settings.binary_type)
class Converter(object):
def convert(self):
self._speed()
self._stack()
self._hashing()
self._size()
def _speed(self):
self._header("Speed Evaluation")
self._subheader("Key Encapsulation Schemes")
self._tablehead(["scheme", "implementation", "key generation [cycles]",
"encapsulation [cycles]", "decapsulation [cycles]"])
self._processPrimitives("benchmarks/speed/crypto_kem/", "speed", "crypto_kem")
self._subheader("Signature Schemes")
self._tablehead(["scheme", "implementation", "key generation [cycles]",
"sign [cycles]", "verify [cycles]"])
self._processPrimitives("benchmarks/speed/crypto_sign/", "speed", "crypto_sign")
def _stack(self):
self._header("Memory Evaluation")
self._subheader("Key Encapsulation Schemes")
self._tablehead(["Scheme", "Implementation", "Key Generation [bytes]",
"Encapsulation [bytes]", "Decapsulation [bytes]"])
self._processPrimitives("benchmarks/stack/crypto_kem/", "stack", "crypto_kem")
self._subheader("Signature Schemes")
self._tablehead(["Scheme", "Implementation", "Key Generation [bytes]",
"Sign [bytes]", "Verify [bytes]"])
self._processPrimitives("benchmarks/stack/crypto_sign/", "stack", "crypto_sign")
def _hashing(self):
""" prints the cycles spent in hashing and the percentage of the total
runtime """
self._header("Hashing Evaluation")
self._subheader("Key Encapsulation Schemes")
self._tablehead(["Scheme", "Implementation", "Key Generation [%]",
"Encapsulation [%]", "Decapsulation [%]"])
self._processPrimitives("benchmarks/hashing/crypto_kem/", "hashing", "crypto_kem")
self._subheader("Signature Schemes")
self._tablehead(["Scheme", "Implementation", "Key Generation [%]",
"Sign [%]", "Verify [%]"])
self._processPrimitives("benchmarks/hashing/crypto_sign/", "hashing", "crypto_sign")
def _size(self):
""" prints the total number of bytes in the text, data, and bss sections
of the scheme-specific code (i.e., excluding FIPS202, etc) """
self._header("Size Evaluation")
self._subheader("Key Encapsulation Schemes")
self._tablehead(["Scheme", "Implementation", ".text [bytes]",
".data [bytes]", ".bss [bytes]", "Total [bytes]"])
self._processPrimitives("benchmarks/size/crypto_kem/", "size", "crypto_kem")
self._subheader("Signature Schemes")
self._tablehead(["Scheme", "Implementation", ".text [bytes]",
".data [bytes]", ".bss [bytes]", "Total [bytes]"])
self._processPrimitives("benchmarks/size/crypto_sign/", "size", "crypto_sign")
def _processPrimitives(self, path, benchmark, type_):
if os.path.exists(path) == False:
return;
data = dict()
for scheme in sorted(os.listdir(path)):
data[scheme] = dict()
for implementation in sorted(os.listdir(path+"/"+scheme)):
measurements = []
for measurement in os.listdir(path+"/"+scheme+"/"+implementation):
with open(path+"/"+scheme+"/"+implementation+"/"+measurement, "r") as f:
d = self._parseData(f.read(), benchmark, type_)
measurements.append(d)
self._formatData(scheme, implementation, measurements, benchmark)
data[scheme][implementation] = measurements
return data
def _stats(self, data):
return (int(statistics.mean(data)), min(data), max(data))
def _parseData(self, fileContents, benchmark, type_):
parts = fileContents.split("\n")
if benchmark == 'size':
text = int(parts[parts.index(".text bytes:")+1])
data = int(parts[parts.index(".data bytes:")+1])
bss = int(parts[parts.index(".bss bytes:")+1])
total = int(parts[parts.index(".total bytes:")+1])
return [text, data, bss, total]
elif benchmark == 'hashing':
keygentotal = int(parts[parts.index("keypair cycles:")+1])
keygen = int(parts[parts.index("keypair hash cycles:")+1])/keygentotal
if type_ == "crypto_kem":
encsigntotal = int(parts[parts.index("encaps cycles:")+1])
encsign = int(parts[parts.index("encaps hash cycles:")+1])/encsigntotal
decverifytotal = int(parts[parts.index("decaps cycles:")+1])
decverify = int(parts[parts.index("decaps hash cycles:")+1])/decverifytotal
else: #crypto_sign
encsigntotal = int(parts[parts.index("sign cycles:")+1])
encsign = int(parts[parts.index("sign hash cycles:")+1])/encsigntotal
decverifytotal = int(parts[parts.index("verify cycles:")+1])
decverify = int(parts[parts.index("verify hash cycles:")+1])/decverifytotal
elif benchmark == 'speed':
keygen = int(parts[parts.index("keypair cycles:")+1])
if type_ == "crypto_kem":
encsign = int(parts[parts.index("encaps cycles:")+1])
decverify = int(parts[parts.index("decaps cycles:")+1])
else: # crypto_sign
encsign = int(parts[parts.index("sign cycles:")+1])
decverify = int(parts[parts.index("verify cycles:")+1])
else: # stack
keygen = int(parts[parts.index("keypair stack usage:")+1])
if type_ == "crypto_kem":
encsign = int(parts[parts.index("encaps stack usage:")+1])
decverify = int(parts[parts.index("decaps stack usage:")+1])
else: # crypto_sign
encsign = int(parts[parts.index("sign stack usage:")+1])
decverify = int(parts[parts.index("verify stack usage:")+1])
return [keygen, encsign, decverify]
def _formatData(self, scheme, implementation, data, benchmark):
if benchmark == "speed":
keygen = self._formatStats([item[0] for item in data])
encsign = self._formatStats([item[1] for item in data])
decverify = self._formatStats([item[2] for item in data])
self._row([f"{scheme} ({len(data)} executions)", implementation, keygen, encsign, decverify])
elif benchmark == "stack":
keygen = self._formatNumber(max([item[0] for item in data]))
encsign = self._formatNumber(max([item[1] for item in data]))
decverify = self._formatNumber(max([item[2] for item in data]))
self._row([scheme, implementation, keygen, encsign, decverify])
elif benchmark == "hashing":
keygen = self._formatPercentage(statistics.mean([item[0] for item in data]))
encsign = self._formatPercentage(statistics.mean([item[1] for item in data]))
decverify = self._formatPercentage(statistics.mean([item[2] for item in data]))
self._row([scheme, implementation, keygen, encsign, decverify])
elif benchmark == "size":
textsec = self._formatNumber(max([item[0] for item in data]))
datasec = self._formatNumber(max([item[1] for item in data]))
bsssec = self._formatNumber(max([item[2] for item in data]))
total = self._formatNumber(max([item[3] for item in data]))
self._row([scheme, implementation, textsec, datasec, bsssec, total])
class MarkdownConverter(Converter):
def _header(self, headline):
print(f"# {headline}")
def _subheader(self, headline):
print(f"## {headline}")
def _tablehead(self, columns):
print("| "+ " | ".join(columns)+" |")
print("| "+ " | ".join(["-"*(len(c)) for c in columns]) + " |")
def _row(self, data):
print("| "+ " | ".join(data)+" |")
def _formatStats(self, l):
mean, minimum, maximum = self._stats(l)
return "AVG: {:,} <br /> MIN: {:,} <br /> MAX: {:,}".format(mean, minimum, maximum)
def _formatNumber(self, num):
return f"{num:,}"
def _formatPercentage(self, perc):
return f"{perc*100:.1f}%"
class CsvConverter(Converter):
def _header(self, headline):
# always pad to 11 columns, so that github can nicely render it
print(headline+","*10)
def _subheader(self, headline):
# always pad to 11 columns, so that github can nicely render it
print(headline+","*10)
def _tablehead(self, columns):
# always pad to 11 columns, so that github can nicely render it
print(",".join(columns)+(","*(11-len(columns))))
def _speed(self):
""" overwrite this here to we can can have three columns for mean, min, max """
self._header("Speed Evaluation")
self._subheader("Key Encapsulation Schemes")
self._tablehead(["Scheme", "Implementation"] +
[f"Key Generation [cycles] ({x})" for x in ["mean", "min", "max"]] +
[f"Encapsulation [cycles] ({x})" for x in ["mean", "min", "max"]] +
[f"Decapsulation [cycles] ({x})" for x in ["mean", "min", "max"]])
cyclesKem = self._processPrimitives("benchmarks/speed/crypto_kem/", "speed", "crypto_kem")
self._subheader("Signature Schemes")
self._tablehead(["Scheme", "Implementation"]+
[f"Key Generation [cycles] ({x})" for x in ["mean", "min", "max"]] +
[f"Sign [cycles] ({x})" for x in ["mean", "min", "max"]] +
[f"Verify [cycles] ({x})" for x in ["mean", "min", "max"]])
cyclesSign = self._processPrimitives("benchmarks/speed/crypto_sign/", "speed", "crypto_sign")
return (cyclesKem, cyclesSign)
def _row(self, data):
# always pad to 11 columns, so that github can nicely render it
row = ",".join(data)
print(row+(","*(10-row.count(","))))
def _formatStats(self, l):
mean, minimum, maximum = self._stats(l)
return f"{mean},{minimum},{maximum}"
def _formatNumber(self, num):
return str(num)
def _formatPercentage(self, perc):
return f"{perc*100:.1f}"
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