def multiprocess(traces, commands, raw_config):
# Get Simulator Configurations...
config = SimulatorConfig(
C=raw_config['C'],
L=raw_config['L'],
K=raw_config['K'],
N=raw_config['N'],
BIT_SIZE=constants.BIT_SIZE,
input_label=commands.input_file_label,
)
simulation_results = run(traces, config)
# Open CSV file to write...
output_file = constants.OUTPUT_FOLDER_PATH + populate_output_file_label(
commands.input_file_label,
C=raw_config['C'],
L=raw_config['L'],
K=raw_config['K'],
N=raw_config['N'],
)
with open(output_file, 'w+') as csv_file:
# Print out result file as CSV
csv_manager = CsvManager(csv_file, [
'Input',
'Cache-Capacity',
'L',
'K',
'N',
'Hit-Ratio',
'Miss-Ratio',
'AMAT',
'Hit-Count',
'Miss-Count',
'Access-Count',
])
csv_manager.write_row(simulation_results)
from optparse import OptionParser
parser = OptionParser('"')
parser.add_option('-i', '--inputFile', dest='input_file')
parser.add_option('-o', '--outputFile', dest='output_file')
options, otherjunk = parser.parse_args(argv)
return options
options = parse_commands(sys.argv[1:])
parser = None
weka_objects = None
with open(options.input_file, 'r') as weka_file:
parser = WekaParser(weka_file)
weka_objects = parser.parse()
weka_manager = WekaManager(weka_objects)
weka_manager.filter_objects()
weka_manager.normalize()
analyze_result = weka_manager.analyze()
with open(options.output_file, 'w+') as csv_file:
csv_manager = CsvManager(csv_file, ['Type', 'Source', 'Target', 'Weight'])
for relationship, weight in analyze_result.items():
csv_manager.write_row({
'Type': 'Undirected',
'Source': relationship[0],
'Target': relationship[1],
'Weight': weight,
})
def run(commands):
input_file = constants.INPUT_FOLDER_PATH + commands.input_file_label
# Parse trace file to programmable.
traces = []
with open(input_file, 'r') as trace_file:
traces = trace_parser.parse(trace_file, constants.BIT_SIZE)
# Config for L1 I/D, L2 (Fixed)
config_L1_inst = CacheConfig(
C=L1_CACHE_SIZE, L=BLOCK_SIZE, K=1, N=512,
BIT_SIZE=constants.BIT_SIZE,
input_label=commands.input_file_label,
HIT_TIME=4,
MISS_PENALTY=16,
)
config_L1_data = CacheConfig(
C=L1_CACHE_SIZE, L=BLOCK_SIZE, K=1, N=512,
BIT_SIZE=constants.BIT_SIZE,
input_label=commands.input_file_label,
HIT_TIME=4,
MISS_PENALTY=16,
)
config_L2 = CacheConfig(
C=L2_CACHE_SIZE, L=BLOCK_SIZE, K=8, N=512,
BIT_SIZE=constants.BIT_SIZE,
input_label=commands.input_file_label,
HIT_TIME=16,
MISS_PENALTY=32,
)
raw_configs_dicts_L3 = {}
with open('configs/project.json', 'r') as raw_config_file:
raw_configs_dicts_L3 = json.load(raw_config_file)
raw_configs_L3 = [
{
'C': L3_CACHE_SIZE,
'L': BLOCK_SIZE,
'K': raw_config['K'],
'N': raw_config['N'],
'INST_PREFETCHER': raw_config['INST_PREFETCHER'],
'DATA_PREFETCHER': raw_config['DATA_PREFETCHER'],
'REPLACEMENT': raw_config['REPLACEMENT'],
}
for raw_config in cartesian_dict_product(raw_configs_dicts_L3)
if check_raw_config({
'C': L3_CACHE_SIZE,
'L': BLOCK_SIZE,
'K': raw_config['K'],
'N': raw_config['N'],
})
]
validate_raw_configs(raw_configs_L3)
del raw_configs_dicts_L3
for raw_config_L3 in raw_configs_L3:
# Config for L3 (Dynamic)
config_L3 = CacheConfig(
C=raw_config_L3['C'],
L=raw_config_L3['L'],
K=raw_config_L3['K'],
N=raw_config_L3['N'],
BIT_SIZE=constants.BIT_SIZE,
input_label=commands.input_file_label,
HIT_TIME=32,
MISS_PENALTY=120,
# inst_prefetcher=constants.PREFETCHER_TYPE['STREAM_BUFFER'],
inst_prefetcher=constants.PREFETCHER_TYPE[raw_config_L3['INST_PREFETCHER']],
# data_prefetcher=constants.PREFETCHER_TYPE['WRITE_BUFFER'],
data_prefetcher=constants.PREFETCHER_TYPE[raw_config_L3['DATA_PREFETCHER']],
replacement_policy=constants.REPLACEMENT_POLICY_TYPE[raw_config_L3['REPLACEMENT']],
)
# TODO(totorody): Implements to run caches
cache_L1_inst = Cache(config_L1_inst)
cache_L1_data = Cache(config_L1_data)
cache_L2 = Cache(config_L2)
cache_L3 = Cache(config_L3)
cache_L1_inst.set_low_cache(cache_L2)
cache_L1_data.set_low_cache(cache_L2)
cache_L2.set_low_cache(cache_L3)
print('Start to run caching...')
index = 0
for trace in traces:
if index % 10000 == 0:
print('trace #:', index)
index += 1
if trace['type'] not in constants.ACCESS_TYPE.values():
continue
if trace['type'] == constants.ACCESS_TYPE['INST_READ']:
cache_L1_inst.access(trace)
else:
cache_L1_data.access(trace)
print('Prints cache simulation results...')
inst_result = cache_L1_inst.get_result('L1-Inst')
data_result = cache_L1_data.get_result('L1-Data')
L2_result = cache_L2.get_result('L2')
L3_result = cache_L3.get_result('L3')
output_file = constants.OUTPUT_FOLDER_PATH \
+ populate_output_file_label(config_L3)
with open(output_file, 'w+') as csv_file:
csv_manager = CsvManager(csv_file, inst_result.keys())
csv_manager.write_row(inst_result)
csv_manager.write_row(data_result)
csv_manager.write_row(L2_result)
csv_manager.write_row(L3_result)
