Now, the darshan generator can generate independent file events, as
well as basic collective file events. Still working on rewriting
collective events.

Pull all darshan workload generator logic into the workload generator
API. Nondeterminism (i.e. using rand()) still needs to be removed from
generating collective I/O events, since they will now be generated in
a collective manner -- not independently as before. Also, still need
to sort out collective timing issues.

Now, specify the darshan install directory with --with-darshan=/dir/
to build the darshan workload generator and link it with test
applications.

Pull all darshan workload generator logic into the workload generator
API. Nondeterminism (i.e. using rand()) still needs to be removed from
generating collective I/O events, since they will now be generated in
a collective manner -- not independently as before. Also, still need
to sort out collective timing issues.

Now, specify the darshan install directory with --with-darshan=/dir/
to build the darshan workload generator and link it with test
applications.

Modifications to autotools to include necessary info for building
the darshan workload API. This API compiles fine, but the mpi replay
test is not linking properly with darshan library.

updates to codes workloads: switched to hash tables in the workload--i/o lang plug-in, removed codes_workload_get_info from i/o lang and darshan workloads as this is no longer needed in the bg/p model

Improve the performance of the darshan i/o workload by converting the
linked list of per-rank contexts to a hash table.