[jira] [Updated] (MAHOUT-2019) SparseRowMatrix assign ops user for loops instead of iterateNonZero and so can be optimized
[ https://issues.apache.org/jira/browse/MAHOUT-2019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Andrew Musselman updated MAHOUT-2019: - Fix Version/s: (was: 0.14.1) 14.2 > SparseRowMatrix assign ops user for loops instead of iterateNonZero and so > can be optimized > --- > > Key: MAHOUT-2019 > URL: https://issues.apache.org/jira/browse/MAHOUT-2019 > Project: Mahout > Issue Type: Bug > Components: Math >Affects Versions: 0.13.0 >Reporter: Pat Ferrel >Assignee: Pat Ferrel >Priority: Major > Fix For: 14.2 > > > DRMs get blockified into SparseRowMatrix instances if the density is low. But > SRM inherits the implementation of method like "assign" from AbstractMatrix, > which uses nest for loops to traverse rows. For multiplying 2 matrices that > are extremely sparse, the kind if data you see in collaborative filtering, > this is extremely wasteful of execution time. Better to use a sparse vector's > iterateNonZero Iterator for some function types. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (MAHOUT-2019) SparseRowMatrix assign ops user for loops instead of iterateNonZero and so can be optimized
[ https://issues.apache.org/jira/browse/MAHOUT-2019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Andrew Musselman updated MAHOUT-2019: - Fix Version/s: (was: 0.13.1) 0.14.1 > SparseRowMatrix assign ops user for loops instead of iterateNonZero and so > can be optimized > --- > > Key: MAHOUT-2019 > URL: https://issues.apache.org/jira/browse/MAHOUT-2019 > Project: Mahout > Issue Type: Bug > Components: Math >Affects Versions: 0.13.0 >Reporter: Pat Ferrel >Assignee: Pat Ferrel >Priority: Major > Fix For: 0.14.1 > > > DRMs get blockified into SparseRowMatrix instances if the density is low. But > SRM inherits the implementation of method like "assign" from AbstractMatrix, > which uses nest for loops to traverse rows. For multiplying 2 matrices that > are extremely sparse, the kind if data you see in collaborative filtering, > this is extremely wasteful of execution time. Better to use a sparse vector's > iterateNonZero Iterator for some function types. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (MAHOUT-2019) SparseRowMatrix assign ops user for loops instead of iterateNonZero and so can be optimized
[ https://issues.apache.org/jira/browse/MAHOUT-2019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Pat Ferrel updated MAHOUT-2019: --- Priority: Major (was: Minor) > SparseRowMatrix assign ops user for loops instead of iterateNonZero and so > can be optimized > --- > > Key: MAHOUT-2019 > URL: https://issues.apache.org/jira/browse/MAHOUT-2019 > Project: Mahout > Issue Type: Bug > Components: Math >Affects Versions: 0.13.0 >Reporter: Pat Ferrel >Assignee: Pat Ferrel > Fix For: 0.13.1 > > > DRMs get blockified into SparseRowMatrix instances if the density is low. But > SRM inherits the implementation of method like "assign" from AbstractMatrix, > which uses nest for loops to traverse rows. For multiplying 2 matrices that > are extremely sparse, the kind if data you see in collaborative filtering, > this is extremely wasteful of execution time. Better to use a sparse vector's > iterateNonZero Iterator for some function types. -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (MAHOUT-2019) SparseRowMatrix assign ops user for loops instead of iterateNonZero and so can be optimized
[ https://issues.apache.org/jira/browse/MAHOUT-2019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Pat Ferrel updated MAHOUT-2019: --- Priority: Minor (was: Major) > SparseRowMatrix assign ops user for loops instead of iterateNonZero and so > can be optimized > --- > > Key: MAHOUT-2019 > URL: https://issues.apache.org/jira/browse/MAHOUT-2019 > Project: Mahout > Issue Type: Bug > Components: Math >Affects Versions: 0.13.0 >Reporter: Pat Ferrel >Assignee: Pat Ferrel >Priority: Minor > Fix For: 0.13.1 > > > DRMs get blockified into SparseRowMatrix instances if the density is low. But > SRM inherits the implementation of method like "assign" from AbstractMatrix, > which uses nest for loops to traverse rows. For multiplying 2 matrices that > are extremely sparse, the kind if data you see in collaborative filtering, > this is extremely wasteful of execution time. Better to use a sparse vector's > iterateNonZero Iterator for some function types. -- This message was sent by Atlassian JIRA (v6.4.14#64029)
