[jira] [Commented] (IGNITE-5278) BLAS implementation

["Artem Malykh (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/IGNITE-5278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16028435#comment-16028435 ] 

Artem Malykh commented on IGNITE-5278:
--------------------------------------

We have some problems here: the natural approach for this task is to delegate BLAS calls to any of existing BLAS libs. All BLAS libraries which I met during implementing this task (jBlas, netlib-java) require storing internal data for matrices flattened (i.e [row1, row2...rown] instead of [[row1], [row2], ... [rowN]]), therefore it seems that we have two options here:

1. Redesign storing;
2. keep storing, but do flatten array -> do blas call -> unflatten underlying arrays. 

If we take second approach, we do not get any boost (rather, we'll get slowdowns) in BLAS levels 1 and 2 for array based matrix impls. We still can get boost in BLAS level 3 calls. 

For first approach to be taken, separate research task need to be done.

> BLAS implementation
> -------------------
>
>                 Key: IGNITE-5278
>                 URL: https://issues.apache.org/jira/browse/IGNITE-5278
>             Project: Ignite
>          Issue Type: Sub-task
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Artem Malykh
>             Fix For: 2.1
>
>
> We need BLAS implementation for local computations.



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