Repository: systemml
Updated Branches:
refs/heads/master 3c7a6eb70 -> 139ddfeed
http://git-wip-us.apache.org/repos/asf/systemml/blob/139ddfee/src/assembly/lite/LICENSE
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diff --git a/src/assembly/lite/LICENSE b/src/assembly/li
[SYSTEMML-1743] Create lightweight SystemML artifact
Create a lightweight SystemML jar file based on the execution of
a particular set of code, such as JMLC. In addition to generating
a minimal jar file that corresponds to this code, automatically
generate maven assembly dependency sets that can b
Repository: systemml
Updated Branches:
refs/heads/master 34c8a9231 -> 3c7a6eb70
[SYSTEMML-1906] Additional tuning codegen row ops over compressed data
This patch further improves upon the previous performance enhancements
for codegen row-wise operations over compressed matrices. In detail,
thi
Repository: systemml
Updated Tags: refs/tags/v0.1.0-rc1 [deleted] 633a86b4f
Repository: systemml
Updated Branches:
refs/heads/master 03c304649 -> 34c8a9231
[MINOR] Fix build number
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Repository: systemml
Updated Branches:
refs/heads/master 143fa7848 -> 03c304649
[maven-release-plugin] prepare for next development iteration
Project: http://git-wip-us.apache.org/repos/asf/systemml/repo
Commit: http://git-wip-us.apache.org/repos/asf/systemml/commit/03c30464
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Repository: systemml
Updated Tags: refs/tags/v0.1.0-rc1 [created] 633a86b4f
Repository: systemml
Updated Branches:
refs/heads/master c6d499d3e -> 143fa7848
[maven-release-plugin] prepare release v0.1.0-rc1
Project: http://git-wip-us.apache.org/repos/asf/systemml/repo
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Repository: systemml
Updated Branches:
refs/heads/master 0a984a43b -> c6d499d3e
[MINOR] Refactored the locks to seperate out read and write lock
- Refactoring the locks will avoid future bugs where the developer tries
to obtain 2 write lock or a read lock on a write-locked objects, etc.
- I
Repository: systemml
Updated Branches:
refs/heads/master 4cf95c92e -> 0a984a43b
[SYSTEMML-1906] Performance codegen row ops over compressed matrices
This patch improves the performance of codegen row-wise operations over
compressed dense and sparse matrices. So far we used dense/sparse row
ite
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