updated

Rizwana Begum
1 parent 40efbe7a
Showing 4 changed files with 14 additions and 13 deletions
figures/energy_perf_bar.py
figures/notuning_wtuning.py
figures/stable_length_box_thresholds.py
figures/stable_line.py
@@ -35,10 +35,10 @@ def plot_energy_perf_bar(args, threshold_list, budget):
 # finding points with 3% threshold of target budget/inefficiency
 thresh = 3
-	energy_bar_data = [ [] for thresh in threshold_list]
-	performance_bar_data = [ [] for thresh in threshold_list]
-	energy_bar_data_nocost = [ [] for thresh in threshold_list]
-	performance_bar_data_nocost = [ [] for thresh in threshold_list]
+	energy_bar_data = [ [] for thr in threshold_list]
+	performance_bar_data = [ [] for thr in threshold_list]
+	energy_bar_data_nocost = [ [] for thr in threshold_list]
+	performance_bar_data_nocost = [ [] for thr in threshold_list]
 print budget
 for threshold_index, cluster_thresh in enumerate(threshold_list):
@@ -268,8 +268,8 @@ def plot_abs_energy_time_bar(args, budget_list, cluster_thresh, perf_cost, energ
 # finding points with 3% threshold of target budget/inefficiency
 thresh = 3
-	energy_bar_data = [ [] for thresh in budget_list]
-	performance_bar_data = [ [] for thresh in budget_list]
+	energy_bar_data = [ [] for thr in budget_list]
+	performance_bar_data = [ [] for thr in budget_list]
 for budget_index, budget in enumerate(budget_list):
 data = []
 for bmark in benchmarks:
@@ -84,7 +84,7 @@ def energy_time(args, budget_list, cluster_thresh, perf_cost, energy_cost):
 print "Inefficiency Budget: "+str(budget)+" Benchmark: "+bmark
 aggr_opt_point, energy_notuning, performance_notuning = get_no_tuning_energy_performance(args, budget, bmark)
-	print "no.tuning: performance (ms): "+str(performance_notuning)+" energy(mJ): "+str(energy_notuning)
+	#print "no.tuning: performance (ms): "+str(performance_notuning)+" energy(mJ): "+str(energy_notuning)
 bmarkDirPath = os.path.join(os.path.join(dir_path, "per_sample_data"), bmark)
 frontiers_file = os.path.join(bmarkDirPath, "per_sample_frontiers.json")
@@ -180,8 +180,8 @@ def energy_time(args, budget_list, cluster_thresh, perf_cost, energy_cost):
 performance += get_performance(frontiers_data,optimal_point[0], optimal_point[1], idx)
 aggr_energy += get_energy(frontiers_data, aggr_opt_point["cpu_freq"], aggr_opt_point["mem_freq"], idx)
 aggr_performance += get_performance(frontiers_data,	aggr_opt_point["cpu_freq"], aggr_opt_point["mem_freq"], idx)
-	if aggr_energy < energy:
-	print "unexpected!"
+#	if aggr_energy < energy:
+#	print "unexpected!"
 #	print "("+str(optimal_point[0])+", "+str(optimal_point[1])+", "+str(energy)+", "+str(performance)+") "+"("+str(aggr_opt_point["cpu_freq"])+", "+str(aggr_opt_point["mem_freq"])+", "+str(aggr_energy)+", "+str(aggr_performance)+") --- " + str((energy - aggr_energy) * 100 / aggr_energy) +" " +str((performance - aggr_performance) * 100 / aggr_performance)
 if index < len(samplepoints):
 if idx == samplepoints[index]-2:
@@ -218,8 +218,9 @@ def energy_time(args, budget_list, cluster_thresh, perf_cost, energy_cost):
 performance_data[budget_index].append(performance)
 aggr_energy = (aggr_energy + (num_transitions * energy_cost))/1e6
 aggr_performance = (aggr_performance +(num_transitions * perf_cost))/1e6 
-	print "no.tuning(cum): performance (ms): "+str(aggr_performance)+"energy(mJ): "+str(aggr_energy)
-	print "w.tuning: performance (ms): "+str(performance)+" energy(mJ): "+str(energy) + " "+ str((energy - aggr_energy) * 100 / aggr_energy) +"% " +str((performance - aggr_performance) * 100 / aggr_performance)+"%\n"
+	#print "no.tuning(cum): performance (ms): "+str(aggr_performance)+"energy(mJ): "+str(aggr_energy)
+	#print "w.tuning: performance (ms): "+str(performance)+" energy(mJ): "+str(energy) + " "+ str((energy - aggr_energy) * 100 / aggr_energy) +"% " +str((performance - aggr_performance) * 100 / aggr_performance)+"%\n"
+	print "w.tuning: energy: "+ str(((energy - aggr_energy) * 10000 / aggr_energy)/100) +"% execution time:" +str(((performance - aggr_performance) * 10000 / aggr_performance)/100)+"%\n"
 def main(argv):
 args = parse(argv)
@@ -23,7 +23,7 @@ def plot_stable_length_box(args, threshold_list, budget_list):
 # finding points with 3% threshold of target budget/inefficiency
 thresh = 3
 for bmark in benchmarks: 
-	box_data = [ [] for thresh in threshold_list]
+	box_data = [ [] for thr in threshold_list]
 for threshold_index, cluster_thresh in enumerate(threshold_list):
 data = []
 for budget in budget_list:
@@ -411,7 +411,7 @@ def plot_stable_length_box_across_thresholds(args, threshold_list, budget):
 # finding points with 3% threshold of target budget/inefficiency
 thresh = 3
-	box_data = [ [] for thresh in threshold_list]
+	box_data = [ [] for thr in threshold_list]
 for threshold_index, cluster_thresh in enumerate(threshold_list):
 data = []
 for bmark in benchmarks: