--- /dev/null
+#!/usr/bin/env python
+
+import matplotlib
+import pylab as plt
+import numpy as np
+
+import os
+import sys
+
+if __name__ == '__main__':
+ files = sys.argv[1:]
+ for f in files:
+ execfile(f)
+ for (db, res) in zip(DBS[:-1], RESULTS):
+ #plt.plot(THREADS, np.log(np.array(res)))
+ #plt.plot(THREADS, res)
+ #plt.plot(THREADS, np.array(res)/np.array(THREADS)) # per-core
+ plt.plot(THREADS, np.log10(np.array(res)/np.array(THREADS))) # per-core
+ plt.xlabel('num threads')
+ #plt.ylabel('ops/sec')
+ #plt.ylabel('ops/sec/core')
+ plt.ylabel('$log_{10}$ ops/sec/thread')
+ plt.legend(DBS[:-1], loc='right')
+ plt.title('YCSB workload 95/4/1 read/rmw/write 10M keys')
+ plt.savefig('.'.join(os.path.basename(f).split('.')[:-1] + ['pdf']))
+ plt.close()