Hi Niall

Thanks so much for pointing this out! This looks very promising, I will give it a try. If we end up using it we will definitely give a reference to the aforementioned paper.

Thanks a lot

Benedikt

Hi Benedikt,

We wrote and released an exact diagonalisation code for sparse diagonalisation on distributed systems sometime ago. This is capable of treating spin half, spin one and spinless fermionic systems, but can easily be extended to treat others. It is no longer under active development but you might find it useful.

latest code:
https://github.com/nmoran/DoQO

paper describing it:
http://www.sciencedirect.com/science/article/pii/S0010465511000099

Kind Regards,

Niall.

On 6 December 2016 at 23:44, Matthias Troyer <troyer@phys.ethz.ch> wrote:

Hi Benedikt,

Such a code can be written but is not implemented in ALPS

Matthias

On 6 Dec 2016, at 17:41, Brandt, Benedikt B <benbra@gatech.edu> wrote:

Hi all

Has there ever been any attempt to write an extension of the sparse-diagonalization code that allows the matrix to be stored across multiple machines? In other words so that one can use the combined processing power and storage of multiple nodes in a cluster?

If I see it correctly, alps can use MPI but doesn't share resources across nodes. Is that correct?

Thanks

Benedikt

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