Hello Beam Team, Thought you might be interested in the work we've been doing on Mahout, such as the distributed linear algebra DSL/front-end that can use multiple back-ends for compute (Spark, Flink, H2O now). See https://mahout.apache.org/users/environment/out-of-core-reference.html for an intro.
We also are working on native CPU/GPU hybrid support and we're close to an initial release. Let us know if you'd like to know more. Thanks and best of luck! Best Andrew Musselman On 2017-01-09 12:00 (-0800), Kam Kasravi <kamkasr...@gmail.com> wrote: > Hi Vladisav > > I'm the author of the design document. An area we stalled on was creating a > common low level linear algebra library that would also include > optimizations like MKL but across platforms and GPUs. > Additionally there are efforts underway that provide a scoring API vs a > training API. > > - PredictionIO http://predictionio.incubator.apache.org/ (now part of > Salesforce) > - MLeap https://github.com/combust/mleap > - PFA - Portable Format for Analytics http://dmg.org/pfa/ > > Any ML effort needs to also include deep learning and the ability to > integrate various types of neural networks. Apache has several early > efforts in this regard (mxnet, singa). > > Thanks > Kam > > On Fri, Jan 6, 2017 at 7:07 AM, Vladisav Jelisavcic <vladis...@gmail.com> > wrote: > > > Hi everyone, > > > > what is the current status on BEAM-478 and BEAM-303 (machine learning > > learning DSL and related functions)? > > I would like to start contributing in this direction. > > > > I found this design document: > > https://docs.google.com/document/d/17cRZk_yqHm3C0fljivjN66MbLkeKS1yjo4PB > > ECHb-xA/edit#heading=h.n51rhya8bv4f > > > > Are there any other docs/advances related to this? > > > > > > Best regards, > > Vladisav > > >
