- these calls should be made by the top level model only, so that all
  results are consolidated into the same subdirectory
- add corresponding calls to modelnet test programs

- save previous cumulative time values rather than actually reversing
  calculation in order to avoid minor discrepancies introduced by
  rounding error

- not producing correct results yet

- also tweak temporary hard-coded network parameters in loggp method to
  look somewhat like Tukey IB network for quick sanity checking of
  output

- right now this runs out of event memory when you run it

- just a slightly modified copy of normal modelnet test for now; will
  update to use as the primary test harness for loggp validation

also misc update to how loggp method plugs into modelnet

- just a copy of simplenet with variables and functions renamed for now

Adding statistics collection using lp-io in model-net API (comes from the simple-net stats collection), works for simple-net, torus and the dragonfly network models (updating comments)

Adding statistics collection using lp-io in model-net API (comes from the simple-net stats collection), works for simple-net, torus and the dragonfly network models

Updates to modelnet (1) Updated the mapping configuration for dragonfly (the mapping now distributes the routers equally on all the PES.  The old dragonly mapping configuration was placing the routers on a single PE which was causing congestion on that PE leading to slow model performance in parallel ) (2) Updated 'make check' to handle dragonfly and torus test cases as well (3) Remove the num_servers argument from model-net test case, the number of servers are now calculated from the config file (4) Placing the ross mapping parameters in the codes mapping file