def gen_scale(benchmarks):
configs = ["1p", "2p", "4p", "8p", "16p"]
base_config = "1p"
parameter = "Ruby_cycles"
stacks = []
print "parsing..."
for benchmark in benchmarks:
assoc_data = {}
for config in configs:
sys.stderr.write(" %s %s\n" % (benchmark, config))
numbers = []
filenames = glob.glob(benchmark + "/*-" + config + "-*.stats")
for filename in filenames:
lines = mfgraph.grep(filename, parameter)
line = lines[0]
numbers.append(float(string.split(line)[1]))
med = mfgraph.median(numbers)
assoc_data[config] = med
mfgraph.normalize(assoc_data, base_config)
bars = []
stack_data = [benchmark]
for config in configs:
bars.append([config, assoc_data[config]])
stacks.append([benchmark] + bars)
print "done."
return [
mfgraph.stacked_bar_graph(
stacks, title="Scalability", ylabel="normalized runtime", colors=["0 0 1"], patterns=["solid"]
)
]
def gen_scale(benchmarks):
configs = ["1p", "2p", "4p", "8p", "16p"]
base_config = "1p"
parameter = "Ruby_cycles"
stacks = [];
print "parsing..."
for benchmark in benchmarks:
assoc_data = {};
for config in configs:
sys.stderr.write(" %s %s\n" % (benchmark, config))
numbers = []
filenames = glob.glob(benchmark + "/*-" + config + "-*.stats")
for filename in filenames:
lines = mfgraph.grep(filename, parameter);
line = lines[0]
numbers.append(float(string.split(line)[1]))
med = mfgraph.median(numbers)
assoc_data[config] = med;
mfgraph.normalize(assoc_data, base_config)
bars = []
stack_data = [benchmark]
for config in configs:
bars.append([config, assoc_data[config]])
stacks.append([benchmark] + bars)
print "done."
return [mfgraph.stacked_bar_graph(stacks,
title = "Scalability",
ylabel = "normalized runtime",
colors = ["0 0 1"],
patterns = ["solid"])]
def gen_protocol(benchmarks):
# configs = ["8p-perfect", "8p-MOSI_bcast_opt", "8p-MOSI_GS"]
configs = ["8p-MOSI_bcast_opt", "8p-MOSI_GS"]
base_config = "8p-MOSI_bcast_opt"
parameter = "Ruby_cycles"
stacks = [];
print "parsing..."
for benchmark in benchmarks:
assoc_data = {};
for config in configs:
sys.stderr.write(" %s %s\n" % (benchmark, config))
numbers = []
filenames = glob.glob(benchmark + "/*-" + config + "-*.stats")
for filename in filenames:
lines = mfgraph.grep(filename, parameter);
line = lines[0]
numbers.append(float(string.split(line)[1]))
print numbers
med = mfgraph.median(numbers)
stddev = mfgraph.stddev(numbers)
min_val = min(numbers)
max_val = max(numbers)
assoc_data[config] = [med, min_val, max_val];
mfgraph.normalize(assoc_data, base_config)
bars = []
stack_data = [benchmark]
for config in configs:
bars.append([config, assoc_data[config]])
stacks.append([benchmark] + bars)
print "done."
print stacks
return [mfgraph.stacked_bar_graph(stacks,
title = "Snooping vs Directory",
ylabel = "normalized runtime",
colors = [".5 .5 1"],
patterns = ["solid"])]
