\section{Concept} The {\bf Planet Simulator} is coded for parallel execution on computers with multiple CPU's or networked machines. The implementation uses MPI (Message Passage Interface), that is available for nearly every operating system {\url{http://www.mcs.anl.gov/mpi}}. In order to avoid maintaining two sets of source code for the parallel and the single CPU version, all calls to the MPI routines are encapsulated into a module. Users, that want to compile and execute the parallel version use the module {\bf mpimod.f90} and the commands {\bf mpif90} for compiling and {\bf mpirun} for running. If MPI is not implemented or the single CPU version is sufficient, {\bf mpimod\_stub.f90} is used instead of {\bf mpimod.f90}. Also remove or comment the line: \begin{verbatim} ! use mpi \end{verbatim} and set the number of processors to 1: \begin{verbatim} parameter(NPRO = 1) \end{verbatim} \section{Parallelization in Gridpoint Domain} The data arrays in gridpoint domain are either three-dimensional e.g. gt(NLON, NLAT, NLEV) referring to an array organized after longitudes, latitudes and levels, or two-dimensional, e.g. gp(NLON, NLAT). The code is organized such, that there are no dependencies in latitudinal direction, while in gridpoint domain. Such dependencies are resolved during the Legendre-Transformations. So the the partitioning of the data is done in latitudes. The program can use as many CPU's as latitudes with the extreme of every CPU doing the computations for a single latitude. There is the restriction however, that the number of latitudes (NLAT) divided by the number of processors (NPRO), giving the number of latitudes per process (NLPP) must have zero remainder. E.g. A T31 resolution uses $NLAT=48$. Possible values for NPRO are then 1, 2, 3, 4, 6, 8, 12, 16, 24, and 48. All loops dealing with a latitudinal index look like: \begin{verbatim} do jlat = 1 , NLPP .... enddo \end{verbatim} There are, however, many subroutines, with the most prominent called {\bf calcgp}, that can fuse latitudinal and longitudinal indices. In all these cases the dimension NHOR is used. NHOR is defined as: $NHOR = NLON * NLPP$ in the pumamod - module. The typical gridpoint loop that looks like: \begin{verbatim} do jlat = 1 , NLPP do jlon = 1 , NLON gp(jlon,jlat) = ... enddo enddo \end{verbatim} is then replaced by the faster executing loop: \begin{verbatim} do jhor = 1 , NHOR gp(jhor) = ... enddo \end{verbatim} \section{Parallelization in Spectral Domain} The number of coefficients in spectral domain (NRSP) is divided by the number of processes (NPRO) giving the number of coefficients per process (NSPP). The number is rounded up to the next integer and the last process may get some additional dummy elements, if there is a remainder in the division operation. All loops in spectral domain are organized like: \begin{verbatim} do jsp = 1 , NSPP sp(jsp) = ... enddo \end{verbatim} \section{Synchronization points} All processes must communicate and have therefore to be synchronized at following events: \begin{itemize} \item Legendre-Transformation: This involves changing from latitudinal partitioning to spectral partitioning and such some gather and scatter operations. \item Inverse Legendre-Transformation: The partitioning changes from spectral to latitudinal by using gather, broadcast, and scatter operations. \item Input-Output: All read and write operations must be done only by the root process, who gathers and broadcasts or scatters the information as desired. Code that is to be executed by the root process exclusively is written like: \begin{verbatim} if (mypid == NROOT) then ... endif \end{verbatim} NROOT is typically 0 in MPI implementations, mypid (My process identification) is assigned by MPI. \end{itemize} \section{Source code} It needs some discipline in order to maintain parallel code. Here are the most important rules for changing or adding code to the {\bf Planet Simulator}: \begin{itemize} \item Adding namelist parameters: All namelist parameters must be broadcasted after reading the namelist. (Subroutines mpbci, mpbcr, mpbcin, mpbcrn) \item Adding scalar variables and arrays: Global variables must be defined in a module header and initialized. \item Initialization code: Initialization code, that contains dependencies on latitude or spectral modes must be done by the root process only and then scattered from there to all child processes. \item Array dimensions and loop limits: Always use parameter constants (NHOR, NLAT, NLEV, etc.) as defined in pumamod.f90 for array dimensions and loop limits. \item Testing: After significant code changes the program should be tested in single and in multi-CPU configuration. The results of a single CPU run is usually not exactly the same as the result of a multi-CPU run due to effects in rounding. But the results should show only small differences during the first timesteps. \item Synchronization points: The code is optimzed for parallel execution and minimizes therefore communication overhead. The necessary communication code is grouped around the Legendre-transformations. If more scatter/gather operations or other communication routines are to be added, they should be placed just before or after the execution of the calls to the Legendre-Transformation. Any other place would degrade the overall performance in introducing additional process synchronization. \end{itemize}