In article <[EMAIL PROTECTED]>, robert <[EMAIL PROTECTED]> writes: |> |> Thus there are different levels of parallelization: |> |> 1 file/database based; multiple batch jobs |> 2 Message Passing, IPC, RPC, ... |> 3 Object Sharing |> 4 Sharing of global data space (Threads) |> 5 Local parallelism / Vector computing, MMX, 3DNow,... |> |> There are good reasons for all of these levels.
Well, yes, but to call them "levels" is misleading, as they are closer to communication methods of a comparable level. |> > This does not mean that MPI is inherently slower than threads however, |> > as there are overhead associated with thread synchronization as well. |> |> level 2 communication is slower. Just for selected apps it won't matter a lot. That is false. It used to be true, but that was a long time ago. The reasons why what seems to be a more heavyweight mechanism (message passing) can be faster than an apparently lightweight one (data sharing) are both subtle and complicated. Regards, Nick Maclaren. -- http://mail.python.org/mailman/listinfo/python-list
