It's taking me up to an hour to read a 1-gigabyte NetworkX graph data structure using cPickle (its 1-GB when stored on disk as a binary pickle file).

Note that the file quickly loads into memory. In other words, if I run:

```
import cPickle as pickle

f = open("bigNetworkXGraph.pickle","rb")
binary_data = f.read() # This part doesn't take long
graph = pickle.loads(binary_data) # This takes ages

```

How can I speed this last operation up?

Note that I have tried pickling the data both in using both binary protocols (1 and 2), and it doesn't seem to make much difference which protocol I use. Also note that although I am using the "loads" (meaning "load string") function above, it is loading binary data, not ascii-data.

I have 128gb of RAM on the system I'm using, so I'm hoping that somebody will tell me how to increase some read buffer buried in the pickle implementation.