From: Andrey Melnikov (melnikov_at_[hidden])
Date: 2005-08-19 03:51:37
> You might want to look at the bottom of
"Parallel Processing Library"
referenced there is exactly "a higher level framework for distributed
computations" I suggested you to look at.
Unfortunately, it offers very little additional abstraction over raw
MPI2 C++ API so it's advantage is doubtful.
I thought of library which offers more specialized work flow concepts.
For example, often a distributed environment is used just because there
are a lot of data to be processed, and each piece of data can be
processed completely independently or without major cooperation between
computational nodes. Examples are video rendering/processing (if it's
not I/O bound), distributed C++ compilation, SETI_at_Home/other BOINC projects.
Such tasks fit a model which I call "std::transform with a stateless
functor". MPI has abstractions for this (like MPI_Scatter/Gather) but
it's very limited, ineffective and practically useless in many
circumstances. Different node speeds, different and non-predictable
amount of resources needed to process each data unit lead to node
stalls. And MPI_Scatter requires an in-memory array instead of just an
input, a past-the-end and an output iterator.
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