Hi Team:
I can try to answer some questions about these scripts...Imran and I had some discussions about them some time ago. Cheers, J Sent from my iPhone > On Apr 21, 2018, at 7:05 PM, Qifan Pu <qifan...@gmail.com> wrote: > > Hi Matthias, > > Thanks for the fast response and detailed information. This is really > helpful. > > I just tried to run it, and was tracing down a indexing bug that can be > repeated by simply running the test script of triangle solve[1] > Caused by: org.apache.sysml.runtime.DMLRuntimeException: Invalid values for > matrix indexing: [1667:3333,1:1666] must be within matrix dimensions > [1000,1000] > > > Am I missing some configuration here? > > > [1] > https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_systemml_blob_master_scripts_staging_scalable-5Flinalg_test_test-5Ftriangular-5Finv.dml&d=DwIBaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=3mYOfURw_FSirAnoSv2pWvLSi1psso4F9RdGjEWL6yc&m=EGIIC2kHgLOJOxCqvFgtDxc4AhkH5hragWnnueZX_e8&s=xknejm8MxIyJ1kwEEWEGx-lLMlRe2mky9J5JH0gNVbM&e= > > > Best, > Qifan > > >> On Sat, Apr 21, 2018 at 4:06 PM, Matthias Boehm <mboe...@gmail.com> wrote: >> >> Hi Qifan, >> >> thanks for your feedback. You're right, the builtin functions >> cholesky, inverse, eigen, solve, svd, qr, and lu are currently only >> supported as single-node operations because they're still implemented >> via Apache commons.math. >> >> However, there is an experimental script for distributed cholesky [1] >> which uses a recursive approach (with operations that allow for >> automatic distributed computation) for matrices larger than a >> user-defined block size. Once blocks become small enough, we use again >> the builtin cholesky. Graduating this script would require a broader >> set of experiments (and potential improvements) but it simply did not >> have the highest priority so far. You might want to give it a try >> though. >> >> Thanks again for your feedback - we'll consider a higher priority for >> these distributed operations when discussing the roadmap for the next >> releases. >> >> [1] https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_systemml_blob_master_scripts_&d=DwIBaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=3mYOfURw_FSirAnoSv2pWvLSi1psso4F9RdGjEWL6yc&m=EGIIC2kHgLOJOxCqvFgtDxc4AhkH5hragWnnueZX_e8&s=gSIeBektBhtRHzozya6is0WfS2hSyUjkKi3TPawTBxc&e= >> staging/scalable_linalg/cholesky.dml >> >> Regards, >> Matthias >> >>> On Sat, Apr 21, 2018 at 2:15 PM, Qifan Pu <qifan...@gmail.com> wrote: >>> Hi, >>> >>> I would love to do distributed cholesky on large matrix with SystemML. I >>> found two related jiras (SYSTEMML-1213, SYSTEMML-1163), but AFAIK, this >> is >>> currently not implemented? I just wanted to check. >>> >>> Best, >>> Qifan >>
