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mt_tbs.py
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mt_tbs.py
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import sys
import pprint
import yaml
pp = pprint.PrettyPrinter()
import hybridsim
TOTAL_PAGES = 8388608
PAGE_SIZE = 4096
ADDRESS_SPACE_SIZE = TOTAL_PAGES * PAGE_SIZE
THREAD_PENDING_MAX = 8
DEBUG_SCHEDULER_PREFETCHER=False
FAKE_PREFETCHES=True
class SchedulerPrefetcher(object):
def __init__(self, mt_tbs):
self.mt_tbs = mt_tbs
self.thread_pages = {}
self.old_thread_pages = {}
self.next_threads = None
self.halfway_cycles = self.mt_tbs.quantum_cycles / 2
if DEBUG_SCHEDULER_PREFETCHER:
self.debug = open('sched_prefetch_debug.log', 'w')
def done(self):
outFile = open('scheduler_prefetcher.log', 'w')
outFile.write(pp.pformat(self.old_thread_pages))
outFile.close()
def new_quantum(self, last_threads, next_threads):
self.next_threads = next_threads
if self.mt_tbs.quantum_num > 0:
for thread_id in last_threads:
# Save the old thread pages.
if thread_id not in self.old_thread_pages:
self.old_thread_pages[thread_id] = []
self.old_thread_pages[thread_id].append(self.thread_pages[thread_id])
# Reset the thread pages.
self.thread_pages[thread_id] = {}
if DEBUG_SCHEDULER_PREFETCHER:
print >> self.debug, 'quantum:',self.mt_tbs.quantum_num
print >> self.debug, 'last_threads:',last_threads
print >> self.debug, 'next_threads:',next_threads
print >> self.debug, self.old_thread_pages
print >> self.debug
self.debug.flush()
def update(self):
# Issue prefetches when halfway_cycles is reached.
# TODO: Combine pages into ranges.
# TODO: Use the access counts for each page to prioritize what pages are sent.
if (self.mt_tbs.quantum_cycles_left == self.halfway_cycles) and (self.mt_tbs.quantum_num > 0):
print 'Issuing prefetches for threads',self.next_threads
prefetch_count = 0
for thread_id in self.next_threads:
if thread_id in self.old_thread_pages:
last_thread_pages = self.old_thread_pages[thread_id][-1]
page_list = [page_num * PAGE_SIZE for page_num in last_thread_pages.keys()]
for page in page_list:
if FAKE_PREFETCHES:
self.mt_tbs.mem.mmio(4, page)
else:
self.mt_tbs.mem.mmio(3, page)
prefetch_count += 1
print 'Issued %d prefetches.'%(prefetch_count)
def addTransaction(self, thread_id, isWrite, addr):
# Compute page number.
page_num = addr / PAGE_SIZE
# Save page in thread pages set.
if thread_id not in self.thread_pages:
self.thread_pages[thread_id] = {}
if page_num not in self.thread_pages[thread_id]:
self.thread_pages[thread_id][page_num] = 0
self.thread_pages[thread_id][page_num] += 1
class TraceThread(object):
def __init__(self, thread_id, tracefile, base_address, parent):
self.thread_id = thread_id
self.tracefile = tracefile
self.input_file = open(tracefile,'r')
self.base_address = base_address
self.parent = parent
self.complete = 0
self.pending = 0
self.trace_cycles = 0 # Cycles in which we made progress in the trace file.
self.throttle_count = 0 # Number of times we stalled during the trace execution.
self.throttle_cycles = 0 # Number of cycles stalled during trace execution.
self.final_cycles = 0 # Cycles passed after trace was done being generated, but while pending transactions were still outstanding.
self.done_cycles = 0 # Cycles passed after all the trace was done and pending transactions completed.
self.trace_done = False
self.trans_cycle = 0
self.trans_write = False
self.trans_addr = 0
self.get_next_trans()
def update(self):
if self.trace_done:
if self.pending > 0:
self.final_cycles += 1
else:
self.done_cycles += 1
return
if self.pending >= THREAD_PENDING_MAX:
self.throttle_cycles += 1
return
# Called each time a clock cycle runs with this trace active.
# This is NOT called when the trace is being stalled.
self.trace_cycles += 1
if self.trace_cycles >= self.trans_cycle:
self.parent.addTransaction(self.thread_id, self.trans_write, self.trans_addr)
self.pending += 1
self.get_next_trans()
def get_next_trans(self):
# Set default values for the return tuple.
if self.trace_done:
return
line = 'dummy value'
while line:
line = self.input_file.readline()
tmp_line = line.strip().split('#')[0]
if tmp_line == '':
continue
split_line = tmp_line.split()
if len(split_line) != 3:
print >> sys.stderr, 'ERROR: Parsing trace failed on line:'
print >> sys.stderr, line
print >> sys.stderr, 'There should be exactly three numbers per line'
print >> sys.stderr, 'There are', len(split_line)
sys.exit(1)
line_vals = [int(i) for i in split_line]
self.trans_cycle = int(split_line[0])
self.trans_write = bool(int(split_line[1]) % 2)
self.trans_addr = int(split_line[2])
# Apply base address transformation.
self.trans_addr = (self.trans_addr + self.base_address) % ADDRESS_SPACE_SIZE
return
# If we get to here, then there are no more transactions.
self.done()
def transaction_complete(self, isWrite, sysID, addr, cycle):
self.pending -= 1
self.complete += 1
if self.trace_done and self.pending == 0:
print 'thread',self.thread_id,'received its last pending transaction.'
def done(self):
print 'thread',self.thread_id,'is done issuing new transactions.'
self.trace_done = True
self.input_file.close()
def print_summary(self):
print 'thread',self.thread_id,'summary...'
print 'tracefile = ',self.tracefile
print 'completed transactions =',self.complete
print 'trace_cycles =',self.trace_cycles
print 'throttle_count =',self.throttle_count
print 'throttle_cycles =',self.throttle_cycles
print 'final_cycles =',self.final_cycles
print 'done_cycles =',self.done_cycles
print 'total_cycles = ', (self.trace_cycles + self.throttle_cycles + self.final_cycles + self.done_cycles)
print
class MultiThreadedTBS(object):
def __init__(self, config_file):
self.complete = 0
self.pending = 0
self.cycles = 0
self.done = False
self.quantum_cycles_left = 0
self.quantum_num = -1
self.cur_running = None
self.schedule_index = -1
self.last_clock = 0
self.CLOCK_DELAY = 1000000
self.config_file = config_file
try:
configFile = open(self.config_file)
config_data = yaml.load(configFile)
configFile.close()
self.cores = config_data['cores']
self.quantum_cycles = config_data['quantum_cycles']
self.trace_files = config_data['trace_files']
self.base_addresses = config_data['base_addresses']
self.schedule = config_data['schedule']
except Exception as e:
print 'Failed to parse the config file properly.'
raise e
#self.cores = 2
##self.quantum_cycles = 2666667
#self.quantum_cycles = 10000
#self.trace_files = ['traces/big_0.txt', 'traces/big_512.txt', 'traces/big_0.txt', 'traces/big_512.txt']
#self.base_addresses = [] # TODO: Implement this feature to add base address to all trace addresses (except kernel stuff).
##self.schedule = [[0,2], [1,2], [2,3], [3,0]]
# Verify the integrity of the schedule...
for i in self.schedule:
if len(i) != self.cores:
print 'Schedule entry does not have length that matches core count %s'%(str(i))
sys.exit(1)
if len(i) != len(set(i)):
print 'Schedule entry has a thread scheduled on more than one core: %s'%(str(i))
sys.exit(1)
if len(self.trace_files) != len(self.base_addresses):
print 'Length of trace_files (%d) does not match length of base_addresses (%d)'%(len(self.trace_files), len(self.base_addresses))
sys.exit(1)
self.threads = {}
for thread_id in range(len(self.trace_files)):
self.threads[thread_id] = TraceThread(thread_id, self.trace_files[thread_id], self.base_addresses[thread_id], self)
self.pending_transactions = {}
# Set up the memory.
self.mem = hybridsim.HybridSim(1, '')
def read_cb(sysID, addr, cycle):
self.transaction_complete(False, sysID, addr, cycle)
def write_cb(sysID, addr, cycle):
self.transaction_complete(True, sysID, addr, cycle)
self.mem.RegisterCallbacks(read_cb, write_cb);
# Set up the scheduler prefetcher.
self.scheduler_prefetcher = SchedulerPrefetcher(self)
def addTransaction(self, thread_id, isWrite, addr):
self.mem.addTransaction(isWrite, addr)
self.pending += 1
trans_key = (addr, isWrite)
if trans_key not in self.pending_transactions:
self.pending_transactions[trans_key] = []
self.pending_transactions[trans_key].append(thread_id)
self.scheduler_prefetcher.addTransaction(thread_id, isWrite, addr)
#print 'Added (%d,%d,%d)'%(thread_id, isWrite, addr)
def transaction_complete(self, isWrite, sysID, addr, cycle):
sysID = sysID.value
addr = addr.value
cycle = cycle.value
#print 'Complete (%d,%d,%d, %d)'%(isWrite, sysID, addr, cycle)
self.complete += 1
self.pending -= 1
if (self.complete % 10000 == 0) or (cycle - self.last_clock > self.CLOCK_DELAY):
print 'Complete=',self.complete,'\t\tpending=',self.pending,'\t\tcycle_count=',cycle,'/',self.cycles,'\t\tQuantum=',self.quantum_num
self.last_clock = cycle
# Call the appropriate TraceThread object to tell it the transactcion is done.
trans_key = (addr, isWrite)
if trans_key not in self.pending_transactions:
print 'Error: (address: %d, isWrite: %d) not in pending transactions during transaction_complete() callback!'%trans_key
sys.exit(1)
thread_id = self.pending_transactions[trans_key].pop(0)
if len(self.pending_transactions[trans_key]) == 0:
del self.pending_transactions[trans_key]
self.threads[thread_id].transaction_complete(isWrite, sysID, addr, cycle)
#print 'Complete thread = %d'%(thread_id)
def clean_schedule(self):
# This method removes done threads from the schedule if there is something else that can run.
done_threads = []
for thread_id in self.threads:
if self.threads[thread_id].trace_done:
done_threads.append(thread_id)
done_threads.sort()
print 'done_threads =',done_threads
for quantum in range(len(self.schedule)):
for i in range(len(self.schedule[quantum])):
thread_id = self.schedule[quantum][i]
if thread_id in done_threads:
for new_thread_id in self.threads:
if (new_thread_id not in self.schedule[quantum]) and (new_thread_id not in done_threads):
self.schedule[quantum][i] = new_thread_id
print 'Replacing thread %d with thread %d in quantum %d'%(thread_id, new_thread_id, quantum)
break
def new_quantum(self):
# Determine if the simulation is done.
tmp_done = True
for thread_id in self.threads:
if not self.threads[thread_id].trace_done:
tmp_done = False # Run another quantum if any thread still has work to do.
if tmp_done and self.pending != 0:
print 'All threads are done, but there are still pending transactions. Running another quantum.'
tmp_done = False # Run another quantum if there are any pending transactions.
self.done = tmp_done
if self.done:
print 'Simulation is done! Here is a summary of what just happened...'
print 'Last quantum =',self.quantum_num
print 'Completed transactions =',self.complete
print
for thread_id in self.threads:
self.threads[thread_id].print_summary()
self.mem.printLogfile()
self.scheduler_prefetcher.done()
return
self.clean_schedule()
self.quantum_cycles_left = self.quantum_cycles
self.quantum_num += 1
self.schedule_index = self.quantum_num % len(self.schedule)
last_threads = self.cur_running
self.cur_running = list(self.schedule[self.schedule_index])
print 'Starting quantum %d at cycle count %d. completed=%d cur_running=%s'%(self.quantum_num, self.cycles, self.complete, str(self.cur_running))
# TODO: Pick another thread to run if any of the current threads are done.
next_index = (self.schedule_index + 1) % len(self.schedule)
next_threads = self.schedule[next_index]
self.scheduler_prefetcher.new_quantum(last_threads, next_threads)
def run(self):
print 'Initialization done. Starting MT-TBS run...'
while not self.done:
# Handle quantum switches.
if self.quantum_cycles_left == 0:
self.new_quantum()
if self.done:
return
# Update all running threads.
for thread_id in self.cur_running:
self.threads[thread_id].update()
# Update the HybridSim instance.
self.mem.update()
# Update the scheduler prefetcher.
self.scheduler_prefetcher.update()
# Update the cycle counters.
self.cycles += 1
self.quantum_cycles_left -= 1
class HybridSimTBS(object):
def __init__(self):
self.MAX_PENDING=36
self.MIN_PENDING=36
self.complete = 0
self.pending = 0
self.throttle_count = 0
self.throttle_cycles = 0
self.final_cycles = 0
self.trace_cycles = 0
self.last_clock = 0
self.CLOCK_DELAY = 1000000
def transaction_complete(self, isWrite, sysID, addr, cycle):
sysID = sysID.value
addr = addr.value
cycle = cycle.value
self.complete += 1
self.pending -= 1
if (self.complete % 10000 == 0) or (cycle - self.last_clock > self.CLOCK_DELAY):
print 'Complete=',self.complete,'\t\tpending=',self.pending,'\t\tcycle_count=',cycle,'\t\tthrottle_count=',self.throttle_count
self.last_clock = cycle
def run_trace(self, tracefile):
mem = hybridsim.HybridSim(1, '')
def read_cb(sysID, addr, cycle):
self.transaction_complete(False, sysID, addr, cycle)
def write_cb(sysID, addr, cycle):
self.transaction_complete(True, sysID, addr, cycle)
mem.RegisterCallbacks(read_cb, write_cb);
inFile = open(tracefile, 'r')
line = 'dummy value'
while line:
line = inFile.readline()
tmp_line = line.strip().split('#')[0]
if tmp_line == '':
continue
split_line = tmp_line.split()
if len(split_line) != 3:
print >> sys.stderr, 'ERROR: Parsing trace failed on line:'
print >> sys.stderr, line
print >> sys.stderr, 'There should be exactly three numbers per line'
print >> sys.stderr, 'There are', len(split_line)
sys.exit(1)
line_vals = [int(i) for i in split_line]
trans_cycle = int(split_line[0])
write = bool(int(split_line[1]) % 2)
addr = int(split_line[2])
while (self.trace_cycles < trans_cycle):
mem.update()
self.trace_cycles += 1
mem.addTransaction(write, addr)
self.pending += 1
if self.pending >= self.MAX_PENDING:
self.throttle_count += 1
while self.pending > self.MIN_PENDING:
mem.update()
self.throttle_cycles += 1
inFile.close()
while self.pending > 0:
mem.update()
self.final_cycles += 1
# This is a hack for the moment to ensure that a final write completes.
# In the future, we need two callbacks to fix this.
# This is not counted towards the cycle counts for the run though.
for i in range(1000000):
mem.update()
# TODO: finish this up
print 'trace_cycles =',self.trace_cycles
print 'throttle_count =',self.throttle_count
print 'throttle_cycles =',self.throttle_cycles
print 'final_cycles =',self.final_cycles
print 'total_cycles = trace_cycles + throttle_cycles + final_cycles =', (self.trace_cycles + self.throttle_cycles + self.final_cycles)
mem.printLogfile()
def main():
if len(sys.argv) > 1:
yaml_file = sys.argv[1]
else:
yaml_file = 'ini/scheduler_prefetcher.yaml'
hs_tbs = MultiThreadedTBS(yaml_file)
hs_tbs.run()
if __name__ == '__main__':
main()