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https://issues.apache.org/jira/browse/SYSTEMML-2364?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2364:
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Description:
It aims to extend the three other schemes of data partition.
* Disjoint_Round_Robin: for each worker, use a permutation multiply or simpler
a removeEmpty such as {{removeEmpty(target=X, margin=rows,
select=(seq(1,nrow(X))%%k)==id)}}.
* Disjoint_Random: for each worker, use a permutation multiply {{P[beg:end,]
%*% X}}, where P is constructed for example with
{{P=table(seq(1,nrow(X),sample(nrow(X), nrow(X))))}}, i.e., sampling without
replacement to ensure disjointness.
* Overlap_Reshuffle: Similar to the above, except you create a new permutation
matrix for each worker and without the indexing on P.
was:It aims to extend the three other schemes of data partition.
> Extend the data partition scheme
> --------------------------------
>
> Key: SYSTEMML-2364
> URL: https://issues.apache.org/jira/browse/SYSTEMML-2364
> Project: SystemML
> Issue Type: Sub-task
> Reporter: LI Guobao
> Assignee: LI Guobao
> Priority: Major
>
> It aims to extend the three other schemes of data partition.
> * Disjoint_Round_Robin: for each worker, use a permutation multiply or
> simpler a removeEmpty such as {{removeEmpty(target=X, margin=rows,
> select=(seq(1,nrow(X))%%k)==id)}}.
> * Disjoint_Random: for each worker, use a permutation multiply {{P[beg:end,]
> %*% X}}, where P is constructed for example with
> {{P=table(seq(1,nrow(X),sample(nrow(X), nrow(X))))}}, i.e., sampling without
> replacement to ensure disjointness.
> * Overlap_Reshuffle: Similar to the above, except you create a new
> permutation matrix for each worker and without the indexing on P.
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