* Fix CMakeLists to handle build as a subproject

When several CMake generated projects are build together, it is common
practice to have a 'superproject' CMakeLists that uses
  add_subdir(proj1)
  add_subdir(proj2)
  ...
where each subproject is a self contained CMake based project
(Example proj1=HPX, proj2=nestmc, proj3=another, ...)

CMAKE_SOURCE_DIR always points to the top level directory which
is the superproject dir in this case, whereas PROJECT_SOURCE_DIR
always points to the root of the current project() in the CMakeLists
so one shouod use PROJECT_SOURCE_DIR as this gets the relative paths
correct.

* Add option to turn off auto generation from *.mod files

* Fix #134 : Change CMake WITH_OPTION to NMC_WITH_OPTION, compiler #define to NMC_HAVE_OPTION

1) The user may select an option by saying NMC_WITH_XXX

2) This may trigger CMake to use find_package(...) or setup some
other variables. CMake can then set variable NMC_HAVE_XXX and add a
what has actually been used.

3) Code should use #ifdef NMC_HAVE_XXX to check for a feature

Old CMake/define      New CMake                 Compiler #define
----------------      ---------                 ----------------
THREADING_MODEL       NMC_THREAD_MODEL
    WITH_TBB          NMC_WITH_TBB              NMC_HAVE_TBB
    WITH_OMP          NMC_WITH_OMP              NMC_HAVE_OMP
    WITH_SERIAL       NMC_WITH_SERiAL           NMC_HAVE_SERIAL

WITH_MPI              NMC_WITH_MPI              NMC_HAVE_MPI
WITH_CUDA             NMC_WITH_CUDA             NMC_HAVE_CUDA
WITH_GPU                                        NMC_HAVE_GPU
WITH_ASSERTIONS       NMC_WITH_ASSERTIONS       NMC_HAVE_ASSERTIONS
WITH_TRACE            NMC_WITH_TRACE            NMC_HAVE_TRACE
WITH_PROFILING        NMC_WITH_PROFILING        NMC_HAVE_PROFILING

Other user visible CMake vars
-----------------------------
VECTORIZE_TARGET            -> NMC_VECTORIZE_TARGET
USE_OPTIIZED_KERNELS        -> NMC_USE_OPTIIZED_KERNELS
BUILD_VALIDATION_DATA       -> NMC_BUILD_VALIDATION_DATA
BUILD_JULIA_VALIDATION_DATA -> NMC_BUILD_JULIA_VALIDATION_DATA
BUILD_NRN_VALIDATION_DATA   -> NMC_BUILD_NRN_VALIDATION_DATA
VALIDATION_DATA_DIR         -> NMC_VALIDATION_DATA_DIR

Variables such as NMC_THREADING_MODEL and NMC_VECTORIZE_TARGET now use
enumerated cmake values so you can toggle between them in ccmake gui.
SYSTEM_TYPE_CRAY/BGQ        -> NMC_SYSTEM_TYPE (Generic/Cray/BGQ)

* Use generator expression for modcc path

Some IDE's (like Xcode for example), override the CMake binary paths
and add /Debug or /Release etc so rules that have hard coded paths
to binaries will fail.

This PR is part of the gpu feature merge. The GPU implementation is not implemented here. Instead, we focus on refactoring of the original "multicore" back end so that it is ready for adding the GPU back end.

This is a big and messy change, for which I am sorry.

## build System

- A `WITH_CUDA` option has been added to the main CMakeLists. This finds the CUDA toolkit, and sets CUDA compiler flags, and will build unit tests for the gpu back end.
- The CMakeLists that generates mechanisms with modcc has been updated to generate CUDA mechanisms.
- the library is now named `libnestmc` instead of `libcellalgo`
- merge the external libraries that are optionally linked againts (tbb, libunwind, etc) into a single
  `EXTERNAL_LIBRARIES` list for ease of linking

## modcc

- the cprinter and cudaprinter have had small changes to generate mechanism files that are compatible with the refactored library.

## algorithms

- the indexes into algorithm was "rangified". An algori...

* fix compile time error in src/model.hpp
* add mpi_listener type for sensible output and error reporting
  when using MPI with Google Test.
* add stub for communicator unit testing

* add header only library TCLAP for parsing command line arguments
    - added as git submodule
    - update CMakeLists to include headers
* remove the ring model from miniapp
* add support for user supplied parameters for miniapp
    - arguments for cell counts etc can be command line flags
    - or in a user-defined json input file
* the all-to-all model supports synapses-per-cell is less than
  the total number of cells
    - in this case a random set of sources is selected

Added MPI support to the miniapp
- added ring model and all-to-all model
- started refactoring general model setup steps into a model class in
  miniapp
- optional -DWITH_MPI to turn on MPI support