[MPFR] GMP+MPFR to GPU?

[Niels Möller]

"Rick C. Hodgin" <foxmuldrster at yahoo.com> writes:

> Is there a developer's manual about the internal structure of the GMP
> and/or MPFR code?  Or is there a #irc channel where I could ask
> questions?

Start by reading the section about the mpn interface in the GMP manual.
Questions can be asked on this list.

To see if GPU support is promising, you may want to start by
implementing the mpn_addmul_1 function for the GPU, and see what
performance you get. Or if you have some particular application in
mind, profile it to see which of the low-level mpn_* functions is most
important to you. I suspect mpn_addmul_1 (or mpn_addmul_2, if
implemented) is the main workhorse for most GMP applications.

I don't know anything about how access to the GPU works; if it's
available for ordinary users, if some operating system support is
needed, etc. I imagine integration can be a bit tricky. A short summary
about how it works would be nice.

The current thinking about parallell processing is that dividing up the
work for parallell processing is usually best done at some level a bit
above the low-level arithmetic. It should be better to do several large
operations in parallell than, e.g., let the low-level Toom-2/Karatsuba
algorithm spawn subproblems to multiple cpu:s.

For a SIMD architecture (GPUs are usually like this, right?)
optimization considerations may be a bit different than for the usual
GMP architectures. It might make some sense to try to implement
mpn_addmul_k for some unusually large k, letting each cpu compute A *
b_j where A is a bignum shared by all cpu:s, and b_j is a single word
with different value for each cpu.

Regards,
/Niels

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