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1 change: 1 addition & 0 deletions book/_toc.yml
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@ parts:
# - file: running/chemistry.ipynb
# - file: running/ibm.ipynb
# - file: running/openbcs.ipynb
- file: running/parallel.md
- file: running/gpu.md
- file: running/quirks.md
- caption: For DALES developers
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8 changes: 4 additions & 4 deletions book/running/parallel.md
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ The best configuration (choice of `itot`, `jtot`, `nprocx`, `nprocy`) for a give

* a reasonable number of grid rows and columns per task (`imax = itot/nprocx` and `jmax = jtot/nprocy`) is around 32-64.

* the Fourier-transform-based Poisson solver works best (fastest) when the total grid sizes (`itot`, `jtot`) factorize into powers of small numbers, e.g. 2**n * 3**m.
* the Fourier-transform-based Poisson solver works best (fastest) when the total grid sizes (`itot`, `jtot`) factorize into powers of small numbers, e.g. `2**n * 3**m`.

* it seems square tiles are efficient, or tiles that are
longer along x than y, perhaps up to two times longer.
Expand All @@ -37,9 +37,9 @@ the `total_number_of_cores = number_of_nodes * cores_per_node` should match the
i.e. an integer number of tile rows fit on one node. This means that the
communication in the x direction is always within a node.

* often the number of cores in a node is of the form 2**n * 3**m, where
* often the number of cores in a node is of the form `2**n * 3**m`, where
m is small, e.g. 48, 128, 192.
We have had good experiences with domain sizes (`itot`, `jtot`) that are 2**n or 3*2**n.
We have had good experiences with domain sizes (`itot`, `jtot`) that are `2**n` or `3*2**n`.

To increase speed and to save memory, also consider running in
single-precision mode, see [](sec:compilation:single)=
single-precision mode, see [](sec:compilation:single)
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