Update timing demo run scripts to print output in CSV format.

examples/timing/run.py

@@ -1,16 +1,30 @@
 #!/usr/bin/env python
 
 """
-Run timing test
+Run timing test (non-GPU).
 """
 
+import numpy as np
+
+import csv
 import re
 import subprocess
+import sys
 
 script_name = 'timing_demo.py'
 
-for spikes in xrange(100, 1100, 100):
-    out = subprocess.check_output(['python', script_name,    
-                    '-u', '2', '-s', str(spikes), '-g', '0', '-m', '1000'])
-    throughput, runtime = out.strip().split(',')
-    print spikes, throughput, runtime
+w = csv.writer(sys.stdout)
+for spikes in np.linspace(100, 10000, 10, dtype=int):
+    average_throughput_list = []
+    total_throughput_list = []
+    runtime_list = []
+    for i in xrange(3):
+        out = subprocess.check_output(['python', script_name,
+                        '-u', '2', '-s', str(spikes), '-g', '0', '-m', '500'])
+        average_throughput, total_throughput, runtime = out.strip('()\n\"').split(', ')
+        average_throughput_list.append(float(average_throughput))
+        total_throughput_list.append(float(total_throughput))
+        runtime_list.append(float(runtime))
+    w.writerow([spikes, np.average(average_throughput_list),
+                np.average(total_throughput_list),
+                np.average(runtime_list)])

examples/timing/run_gpu.py

@@ -1,16 +1,30 @@
 #!/usr/bin/env python
 
 """
-Run timing test
+Run timing test (GPU).
 """
 
+import numpy as np
+
+import csv
 import re
 import subprocess
+import sys
 
 script_name = 'timing_demo_gpu.py'
 
-for spikes in xrange(100, 1100, 100):
-    out = subprocess.check_output(['python', script_name,
-                    '-u', '2', '-s', str(spikes), '-g', '0', '-m', '1000'])
-    throughput, runtime = out.strip().split(',')
-    print spikes, throughput, runtime
+w = csv.writer(sys.stdout)
+for spikes in np.linspace(100, 10000, 10, dtype=int):
+    average_throughput_list = []
+    total_throughput_list = []
+    runtime_list = []
+    for i in xrange(3):
+        out = subprocess.check_output(['python', script_name,
+                        '-u', '2', '-s', str(spikes), '-g', '0', '-m', '500'])
+        average_throughput, total_throughput, runtime = out.strip('()\n\"').split(', ')
+        average_throughput_list.append(float(average_throughput))
+        total_throughput_list.append(float(total_throughput))
+        runtime_list.append(float(runtime))
+    w.writerow([spikes, np.average(average_throughput_list),
+                np.average(total_throughput_list),
+                np.average(runtime_list)])