diff -r 708750fde4d5 -r 7583ac576962 src/python/m5/stats/sql.py
--- a/src/python/m5/stats/sql.py	Wed Apr 24 11:29:47 2013 +0100
+++ b/src/python/m5/stats/sql.py	Wed Apr 24 11:29:52 2013 +0100
@@ -100,6 +100,7 @@
                          Column('id', Integer),
                          Column('dump', Integer),
                          Column('value', Binary),
+                         Column('total', Binary),
     )
 
     # Stores distributions.
@@ -223,16 +224,20 @@
     id = Column(Integer, primary_key = True)
     dump = Column(Integer)
     value = Column(Binary)
+    total = Column(Binary)
 
-    def __init__(self, id, dump, value):
+    def __init__(self, id, dump, value, total):
         import array
         self.id = id
         self.dump = dump
         a = array.array('f', value)
         self.value = a.tostring()
+        a = array.array('f', total)
+        self.total = a.tostring()
 
     def __repr__(self):
-        return "<User('%d','%d','%s')>" % (self.id, self.dump, self.value)
+        return "<User('%d','%d','%s','%s')>" % (self.id, self.dump, self.value,
+            self.total)
 
 
 # @brief Class used to insert dictribution stats into the database.
@@ -318,8 +323,39 @@
 
     elif stat.type == "VectorInfo" or stat.type == "Vector2dInfo" \
          or stat.type == "FormulaInfo":
+
+        # We need to calculate the total for each of the stat types in a
+        # different way and therefore we need to check what the type of
+        # statistic is.
+        theTotal = []
+        if stat.type == "FormulaInfo":
+            # The total for the formula can be caculated directly. This
+            # calculation takes place in the info.formula class.
+            theTotal.append(stat.total)
+        elif stat.type == "VectorInfo":
+            # The total for a vector is the sum of all values. However, as we
+            # are unable to sum NaNs, these need to first be removed.
+            import math
+            noNan = filter(lambda x: not math.isnan(x), stat.value)
+
+            # The total for a vector stat is calculated ignoring any values
+            # which are NaN. This is to preserve compatibilty with the old
+            # stats system.
+            theTotal.append(sum(noNan))
+        else:
+            # For a 2D vector we want to calculate the total for each value of
+            # x, and therefore get an array of totals. If an overall total is
+            # desired, this would be the sum of this array. This, however, is
+            # not stored as it can be computed offline.
+            for i in range(stat.x):
+                iy = i * stat.y
+                total = 0.0
+                for j in range(stat.y):
+                    total += stat.value[iy + j]
+                theTotal.append(total)
+
         temp = VectorValueClass(id = stat.id, dump = dumpCount,
-                                value = stat.value)
+                                value = stat.value, total = theTotal)
         session.add(temp)
 
     elif stat.type == "DistInfo":