parallel processing - what are the models to distribute tasks in processes using openMPI? -

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the thing want ask : have several steps of big source code (each step has virtual computation time , virtual communication data,i taking virtual wants model latency , somehow managed measure them throughout source code) . need test make code sleep computation time , transferring data equivalent communication data . can suggest configuration models same ? aim minimizing overall execution time of program , want diminish overhead process can have.

the simplest strikes mind :

  1. do computation on processes , send virtual data making asynchronous call root processes
  2. do same synchronous call .
  3. assume communication time linear communication data . use algorithm divide tasks formerly each process (inspired load balancing)
  4. start first task root process , sends data next process , sleep on process , show on.

can please give me idea or verify ,if strategy makes lot of difference ?


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