Darshan workload generator now evenly distributes aggregators
acoss the entire rank-space. Also, individual operation sizes
are evenly distributed among aggregators, so aggregator
workloads are more evenly distributed.

- currently ugly-looking, might want to think of
  a better way to acheive this

Delay calculation now estimates duration of barriers (collective
communication).

The collective buffering algorithm now appropriately assigns i/o
sizes and offsets according to an aggregator's "file view".

For a particular LP type:
- get the global number of LPs of that type
- get the relative ID w.r.t. LPs of the same type

Adding the codes-network-workloads API: currently there is support for reading in MPI traces generated through scala-trace. See network-workload/README for usage of test program.

The plugin was not destroying a hash table properly, causing
segfaults. Also, the workload did not close open files or
directories, causing an error on the number of open file
descriptors.

Darshan reports zero-valued timestamps as negative values, so
add check to set these timestamps to zero if they are negative.

Darshan and recorder workloads have temporary debug parameters that
are no longer used and can be removed.