def parse_results_l2_sizes():
results = []
for benchmark in benchmarks:
# for l2_size in ['256kB', '512kB', '1MB', '2MB', '4MB', '8MB']:
# for l2_size in ['256kB', '512kB']:
for l2_size in ['256kB']:
results.append(
parse_result('results/' +
benchmark + '/' + l2_size + '/8way/4c/',
benchmark=benchmark,
l2_size=l2_size)
)
to_csv('results/l2_sizes.csv', results, [
('Benchmark', lambda r: r.props['benchmark']),
('L2 Size', lambda r: r.props['l2_size']),
('L2 Miss Rate', lambda r: r.stats[0]['system.l2.overall_miss_rate::total']),
('# Cycles', lambda r: r.stats[0]['system.switch_cpus0.numCycles'])
])
generate_plot('results/l2_sizes.csv',
'results/l2_sizes_vs_l2_miss_rate.pdf', 'Benchmark', 'L2 Miss Rate',
'L2 Size', 'L2 Miss Rate')
generate_plot('results/l2_sizes.csv',
'results/l2_sizes_vs_num_cycles.pdf', 'Benchmark', '# Cycles',
'L2 Size', '# Cycles')
return results
def parse_results_l2_replacement_policies():
results = []
for benchmark in benchmarks:
for l2_size in ['256kB']:
for l2_replacement_policy in ['LRU', 'IbRDP', 'RRIP']:
results.append(
parse_result('test_data/results_alpha_no_checkpoints/' +
benchmark + '/simsmall/' + l2_size + '/8way/' + l2_replacement_policy + '/4c/',
benchmark=benchmark,
l2_size=l2_size,
l2_replacement_policy=l2_replacement_policy)
)
to_csv('test_data/l2_replacement_policies.csv', results, [
('Benchmark', lambda r: r.props['benchmark']),
('L2 Size', lambda r: r.props['l2_size']),
('L2 Replacement Policy', lambda r: r.props['l2_replacement_policy']),
('L2 Miss Rate', lambda r: r.stats[2]['system.l2.overall_miss_rate::total']),
('# Cycles', lambda r: r.stats[2]['system.switch_cpus0.numCycles'])
])
generate_plot('test_data/l2_replacement_policies.csv',
'test_data/l2_replacement_policies_vs_l2_miss_rate.pdf', 'Benchmark', 'L2 Miss Rate',
'L2 Replacement Policy', 'L2 Miss Rate')
generate_plot('test_data/l2_replacement_policies.csv', 'test_data/l2_replacement_policies_vs_num_cycles.pdf',
'Benchmark', '# Cycles', 'L2 Replacement Policy',
'# Cycles')
return results
def parse_results_l2_replacement_policies():
results = []
for benchmark in benchmarks:
for l2_size in ['256kB']:
for l2_replacement_policy in ['LRU', 'IbRDP', 'RRIP']:
results.append(
parse_result('test_data/results_alpha_no_checkpoints/' +
benchmark + '/simsmall/' + l2_size +
'/8way/' + l2_replacement_policy + '/4c/',
benchmark=benchmark,
l2_size=l2_size,
l2_replacement_policy=l2_replacement_policy))
to_csv(
'test_data/l2_replacement_policies.csv', results,
[('Benchmark', lambda r: r.props['benchmark']),
('L2 Size', lambda r: r.props['l2_size']),
('L2 Replacement Policy', lambda r: r.props['l2_replacement_policy']),
('L2 Miss Rate',
lambda r: r.stats[2]['system.l2.overall_miss_rate::total']),
('# Cycles', lambda r: r.stats[2]['system.switch_cpus0.numCycles'])])
generate_plot('test_data/l2_replacement_policies.csv',
'test_data/l2_replacement_policies_vs_l2_miss_rate.pdf',
'Benchmark', 'L2 Miss Rate', 'L2 Replacement Policy',
'L2 Miss Rate')
generate_plot('test_data/l2_replacement_policies.csv',
'test_data/l2_replacement_policies_vs_num_cycles.pdf',
'Benchmark', '# Cycles', 'L2 Replacement Policy', '# Cycles')
return results
def parse_results_l2_sizes():
results = []
for benchmark in benchmarks:
# for l2_size in ['256kB', '512kB', '1MB', '2MB', '4MB', '8MB']:
# for l2_size in ['256kB', '512kB']:
for l2_size in ['256kB']:
results.append(
parse_result('results/' + benchmark + '/simsmall/' + l2_size +
'/8way/4c/',
benchmark=benchmark,
l2_size=l2_size))
to_csv(
'results/l2_sizes.csv', results,
[('Benchmark', lambda r: r.props['benchmark']),
('L2 Size', lambda r: r.props['l2_size']),
('L2 Miss Rate',
lambda r: r.stats[2]['system.l2.overall_miss_rate::total']),
('# Cycles', lambda r: r.stats[2]['system.switch_cpus0.numCycles'])])
generate_plot('results/l2_sizes.csv',
'results/l2_sizes_vs_l2_miss_rate.pdf', 'Benchmark',
'L2 Miss Rate', 'L2 Size', 'L2 Miss Rate')
generate_plot('results/l2_sizes.csv', 'results/l2_sizes_vs_num_cycles.pdf',
'Benchmark', '# Cycles', 'L2 Size', '# Cycles')
return results
def parse_results_l2_sizes():
results = []
for benchmark in benchmarks:
#~ for l2_size in ['256kB', '512kB', '1MB', '2MB', '4MB', '8MB']:
#~ for l2_size in ['256kB', '512kB']:
for l2_size in ['256kB']:
for l2_replacement_policy in ['LRU', 'Bypass']:
for min_gpu_partition_size in [-1]:
for max_gpu_partition_size in [-1]:
results.append(
parse_result('results/' +
benchmark + '/' + l2_size + '/8way/' + 'nvm_' + str(min_gpu_partition_size) + '-' + str(max_gpu_partition_size) + '/' + l2_replacement_policy + '/2c/',
benchmark=benchmark,
l2_size=l2_size,
max_gpu_partition_size=max_gpu_partition_size,
min_gpu_partition_size=min_gpu_partition_size,
l2_replacement_policy=l2_replacement_policy)
)
for l2_size in ['256kB']:
for l2_replacement_policy in ['SP_static']:
for min_gpu_partition_size in [1,3,5]:
for max_gpu_partition_size in [3,5]:
if max_gpu_partition_size > min_gpu_partition_size:
results.append(
parse_result('results/' +
benchmark + '/' + l2_size + '/8way/' + 'nvm_' + str(min_gpu_partition_size) + '-' + str(max_gpu_partition_size) + '/' + l2_replacement_policy + '/2c/',
benchmark=benchmark,
l2_size=l2_size,
max_gpu_partition_size=max_gpu_partition_size,
min_gpu_partition_size=min_gpu_partition_size,
l2_replacement_policy=l2_replacement_policy)
)
for l2_size in ['256kB']:
for l2_replacement_policy in ['SP_static']:
for min_gpu_partition_size in [4]:
for max_gpu_partition_size in [4]:
results.append(
parse_result('results/' +
benchmark + '/' + l2_size + '/8way/' + 'nvm_' + str(min_gpu_partition_size) + '-' + str(max_gpu_partition_size) + '/' + l2_replacement_policy + '/2c/',
benchmark=benchmark,
l2_size=l2_size,
max_gpu_partition_size=max_gpu_partition_size,
min_gpu_partition_size=min_gpu_partition_size,
l2_replacement_policy=l2_replacement_policy)
)
def num_cycles(r):
return int(r.stats[0]['system.{}.numCycles'.format('switch_cpus' if num_threads == 1 else 'switch_cpus0')])
def committed_insts(r):
if num_threads == 1:
result = int(r.stats[0]['system.switch_cpus.committedInsts'])
else:
result = 0
for i in range(0, num_threads):
result += int(r.stats[0]['system.switch_cpus{}.committedInsts'.format(i)])
return result
def baseline_num_cycles(results, r1):
for r in results:
if r1.props['benchmark'] == r.props['benchmark'] and r.props['l2_replacement_policy'] == 'LRU':
return num_cycles(r)
print("Cannot find baseline num_cycles from specified results")
sys.exit(-1)
def speedup(results, r):
return float(baseline_num_cycles(results, r)/num_cycles(r))
def l2_hit_rate(stats):
hits = stats[0]['system.ruby.l2_cntrl0.L2cache.demand_hits']
accesses = stats[0]['system.ruby.l2_cntrl0.L2cache.demand_accesses']
return str(float(hits) / float(accesses))
to_csv('results/l2_sizes.csv', results, [
('Benchmark', lambda r: r.props['benchmark']),
('ReplacementPolicy', lambda r: r.props['l2_replacement_policy']),
('Min:Max GPU Partition Size', lambda r: str(int(r.props['min_gpu_partition_size'])) + ':' + str(int(r.props['max_gpu_partition_size']))),
('L2 Size', lambda r: r.props['l2_size']),
('L2 Accesses', lambda r: r.stats[0]['system.ruby.l2_cntrl0.L2cache.demand_accesses']),
('L2 Replacements', lambda r: r.stats[0]['system.ruby.L2Cache_Controller.L2_Replacement']),
('Speedup', lambda r: speedup(results, r)),
('Committed Insts', committed_insts),
('Simulation Time', lambda r: r.stats[0]['host_seconds']),
('L2 Hit Rate', lambda r: l2_hit_rate(r.stats)),
('# Cycles', num_cycles)
])
generate_plot('results/l2_sizes.csv',
'results/Benchmark_vs_l2_hit_rate.pdf', 'Benchmark', 'L2 Hit Rate',
'ReplacementPolicy', 'L2 Hit Rate')
generate_plot('results/l2_sizes.csv',
'results/Benchmark_vs_l2_replacement.pdf', 'Benchmark', 'L2 Replacements',
'ReplacementPolicy', 'L2 Replacements')
generate_plot('results/l2_sizes.csv',
'results/Min:Max_GPU_Partition_Size_vs_l2_replacement.pdf', 'Benchmark', 'L2 Replacements',
'Min:Max GPU Partition Size', 'L2 Replacements')
generate_plot('results/l2_sizes.csv',
'results/Min:Max_GPU_Partition_Size_vs_L2_Hit_Rate.pdf', 'Benchmark', 'L2 Hit Rate',
'Min:Max GPU Partition Size', 'L2 Hit Rate')
return results