Parallel Processing

Starting with release 2023-1, parallel processing was implemented for determining the coefficients of the matrix A, and the vector b, which form the core components of the linear equation solver Ax = b, updated at each timestep in the solve process.

Starting with release 2019-1, parallel processing was implemented for these computations that occur in plot-making:

Computing values (e.g. head) that are the basis for contours

Computing values (e.g. velocity) that are the basis for vectors

Tracing multiple pathlines from lines, areas, wells, and circles

These can be a time-saver for complex models and plots, if your computer's CPU has multiple cores.  Experiments indicate that:

Solve time has been sped up by 1.5 - 3 times depending on complexity of the model, and whether steady or transient on a 4-core CPU

Making a plot with hundreds of area pathlines is quicker by a factor approaching 4 on a 4-core CPU, or approaching a factor of 6 on a 6-core CPU.