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LI Guobao closed SYSTEMML-2413.
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> Paramserv performance bottleneck on the DAG recompilation
>
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
scenar
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
scenar
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
scenar
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
scenar
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LI Guobao commented on SYSTEMML-2403:
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[~mboehm7], in fact, I have thought about
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
scenar
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
scenar
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https://issues.apache.org/jira/browse/SYSTEMML-2416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2416:
Summary: Use synchronized method instead of single thread pool in agg
service (was: Use synchro
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LI Guobao closed SYSTEMML-2416.
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> Use synchronized method instead of single thread pool in agg service
> -
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LI Guobao resolved SYSTEMML-2416.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Use synchronized method instead of sing
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LI Guobao resolved SYSTEMML-2085.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Initial version of local backend
>
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LI Guobao updated SYSTEMML-2087:
Description: This part aims to implement the parameter server for spark
distributed backend. In
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LI Guobao updated SYSTEMML-2087:
Description: This part aims to implement the parameter server for spark
distributed backend. In
LI Guobao created SYSTEMML-2418:
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Summary: Distributing data to workers
Key: SYSTEMML-2418
URL: https://issues.apache.org/jira/browse/SYSTEMML-2418
Project: SystemML
Issue Type: Sub-task
LI Guobao created SYSTEMML-2419:
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Summary: Setup of remote workers
Key: SYSTEMML-2419
URL: https://issues.apache.org/jira/browse/SYSTEMML-2419
Project: SystemML
Issue Type: Sub-task
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LI Guobao updated SYSTEMML-2419:
Summary: Setup and cleanup of remote workers (was: Setup of remote workers)
> Setup and cleanup
LI Guobao created SYSTEMML-2420:
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Summary: Communication between ps and workers
Key: SYSTEMML-2420
URL: https://issues.apache.org/jira/browse/SYSTEMML-2420
Project: SystemML
Issue Type: Sub-tas
LI Guobao created SYSTEMML-2421:
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Summary: Task error and preemption handles
Key: SYSTEMML-2421
URL: https://issues.apache.org/jira/browse/SYSTEMML-2421
Project: SystemML
Issue Type: Sub-task
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LI Guobao updated SYSTEMML-2087:
Description: This part aims to implement the parameter server for spark
distributed backend. (w
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ps, the training data will be partitioned
according to the differ
LI Guobao created SYSTEMML-2422:
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Summary: Implementation of remote worker
Key: SYSTEMML-2422
URL: https://issues.apache.org/jira/browse/SYSTEMML-2422
Project: SystemML
Issue Type: Sub-task
LI Guobao created SYSTEMML-2423:
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Summary: Implementation of spark ps
Key: SYSTEMML-2423
URL: https://issues.apache.org/jira/browse/SYSTEMML-2423
Project: SystemML
Issue Type: Sub-task
LI Guobao created SYSTEMML-2424:
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Summary: Determine the level of par
Key: SYSTEMML-2424
URL: https://issues.apache.org/jira/browse/SYSTEMML-2424
Project: SystemML
Issue Type: Sub-task
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LI Guobao updated SYSTEMML-2424:
Description: It aims to determine the parallelism level according to the
cluster resource, i.e.,
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could levera
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could levera
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could levera
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LI Guobao commented on SYSTEMML-2420:
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[~mboehm7], I wrote down the idea for imple
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LI Guobao updated SYSTEMML-2420:
Attachment: systemml_rpc_sequence_diagram.png
> Communication between ps and workers
> -
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LI Guobao updated SYSTEMML-2420:
Attachment: systemml_rpc_2_seq_diagram.png
> Communication between ps and workers
>
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could levera
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LI Guobao updated SYSTEMML-2420:
Attachment: systemml_rpc_class_diagram.png
> Communication between ps and workers
>
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LI Guobao commented on SYSTEMML-2420:
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[~mboehm7], thanks for the feedback. And I
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LI Guobao updated SYSTEMML-2421:
Description: It aims to introduce the checkpointing to guarantee that the
worker could recover f
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LI Guobao updated SYSTEMML-2421:
Description: It aims to introduce the checkpointing to guarantee that the
worker could recover f
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LI Guobao updated SYSTEMML-2421:
Description: It aims to introduce the checkpointing to guarantee that the
worker could recover f
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LI Guobao updated SYSTEMML-2418:
Summary: Spark data partitioner (was: Distributing data to workers)
> Spark data partitioner
>
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, the training data will be usually
overfitted in spark driver
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, the training data will be usually
overfitted in spark driver
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LI Guobao commented on SYSTEMML-2418:
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[~mboehm7], is it correct my logic? By the
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, it would be more efficient to support
the data partitioning i
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, it would be more efficient to support
the data partitioning i
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LI Guobao updated SYSTEMML-2419:
Description: In the context of distributed spark env, we need to firstly
ship the necessary func
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LI Guobao commented on SYSTEMML-2419:
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[~mboehm7] , I have a problem when serializ
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LI Guobao edited comment on SYSTEMML-2419 at 7/6/18 3:07 PM:
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LI Guobao commented on SYSTEMML-2299:
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[~mboehm7], in fact, until now, it seems th
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LI Guobao commented on SYSTEMML-2419:
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[~mboehm7], I have some questions. The firs
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LI Guobao edited comment on SYSTEMML-2419 at 7/13/18 10:18 AM:
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LI Guobao edited comment on SYSTEMML-2419 at 7/13/18 10:20 AM:
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LI Guobao edited comment on SYSTEMML-2419 at 7/13/18 10:21 AM:
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LI Guobao edited comment on SYSTEMML-2419 at 7/13/18 10:21 AM:
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LI Guobao resolved SYSTEMML-2418.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Spark data partitioner
> --
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LI Guobao resolved SYSTEMML-2403.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Paramserv low accuracy sometimes occurr
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LI Guobao resolved SYSTEMML-2412.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Paramserv "all the same accuracy" probl
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LI Guobao closed SYSTEMML-2403.
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> Paramserv low accuracy sometimes occurred
> -
>
>
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LI Guobao closed SYSTEMML-2412.
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> Paramserv "all the same accuracy" problem
> -
>
>
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LI Guobao resolved SYSTEMML-2414.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Paramserv zero accuracy with Overlap_Re
LI Guobao created SYSTEMML-2440:
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Summary: Got zero when casting an element of list
Key: SYSTEMML-2440
URL: https://issues.apache.org/jira/browse/SYSTEMML-2440
Project: SystemML
Issue Type: Bug
LI Guobao created SYSTEMML-2443:
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Summary: Add experiment varied on optimizer
Key: SYSTEMML-2443
URL: https://issues.apache.org/jira/browse/SYSTEMML-2443
Project: SystemML
Issue Type: Sub-task
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LI Guobao closed SYSTEMML-2301.
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Resolution: Fixed
Assignee: LI Guobao
Fix Version/s: SystemML 1.2
> Second evaluat
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LI Guobao updated SYSTEMML-2443:
Description: It aims to add the scripts of doing the experiments for local
ps and to explore the
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LI Guobao updated SYSTEMML-2443:
Summary: Add experiments varied on optimizers (was: Add experiment varied
on optimizer)
> Add
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LI Guobao commented on SYSTEMML-2443:
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Hi [~mboehm7], currently, I'm trying to do
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LI Guobao edited comment on SYSTEMML-2446 at 7/17/18 7:23 AM:
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LI Guobao commented on SYSTEMML-2446:
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[~mboehm7]sure.
> Paramserv adagrad ASP ba
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LI Guobao reassigned SYSTEMML-2446:
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Assignee: LI Guobao
> Paramserv adagrad ASP batch disjoint_continuous failing
> -
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LI Guobao resolved SYSTEMML-2419.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Setup and cleanup of remote workers
> -
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https://issues.apache.org/jira/browse/SYSTEMML-2457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao resolved SYSTEMML-2457.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Error handling and add statistic for sp
LI Guobao created SYSTEMML-2457:
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Summary: Error handling and add statistic for spark backend
Key: SYSTEMML-2457
URL: https://issues.apache.org/jira/browse/SYSTEMML-2457
Project: SystemML
Issue
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LI Guobao resolved SYSTEMML-2443.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Add experiments varied on optimizers
>
LI Guobao created SYSTEMML-2458:
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Summary: Add experiment on spark paramserv
Key: SYSTEMML-2458
URL: https://issues.apache.org/jira/browse/SYSTEMML-2458
Project: SystemML
Issue Type: Sub-task
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LI Guobao resolved SYSTEMML-2422.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Implementation of remote worker
> -
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LI Guobao closed SYSTEMML-2414.
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> Paramserv zero accuracy with Overlap_Reshuffle
> --
>
>
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LI Guobao commented on SYSTEMML-2458:
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[~mboehm7], I've pushed the scripts for the
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LI Guobao updated SYSTEMML-2457:
Summary: Error handling and add statistics for spark backend (was: Error
handling and add stati
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https://issues.apache.org/jira/browse/SYSTEMML-2423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao resolved SYSTEMML-2423.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Implementation of spark ps
> --
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https://issues.apache.org/jira/browse/SYSTEMML-2090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao reassigned SYSTEMML-2090:
---
Assignee: LI Guobao
> Documentation of language extension
> -
LI Guobao created SYSTEMML-2465:
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Summary: Keep data consistency for a pre-trained model
Key: SYSTEMML-2465
URL: https://issues.apache.org/jira/browse/SYSTEMML-2465
Project: SystemML
Issue Type
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LI Guobao reassigned SYSTEMML-2466:
---
Assignee: LI Guobao
> Distributed paramserv fails on newer Spark version > 2.1
>
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LI Guobao commented on SYSTEMML-2466:
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Hi [~mboehm7], I pushed the modification fo
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LI Guobao edited comment on SYSTEMML-2466 at 7/26/18 3:23 PM:
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LI Guobao resolved SYSTEMML-2466.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Distributed paramserv fails on newer Sp
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https://issues.apache.org/jira/browse/SYSTEMML-2469?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao reassigned SYSTEMML-2469:
---
Assignee: LI Guobao
> Large distributed paramserv overheads
> ---
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LI Guobao resolved SYSTEMML-2420.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Communication between ps and workers
>
LI Guobao created SYSTEMML-2471:
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Summary: Add java doc
Key: SYSTEMML-2471
URL: https://issues.apache.org/jira/browse/SYSTEMML-2471
Project: SystemML
Issue Type: Sub-task
Reporter:
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LI Guobao resolved SYSTEMML-2087.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Initial version of distributed spark ba
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https://issues.apache.org/jira/browse/SYSTEMML-2424?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao closed SYSTEMML-2424.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Determine the level of par
> --
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LI Guobao resolved SYSTEMML-2471.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Add java doc
>
>
>
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LI Guobao resolved SYSTEMML-2469.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Large distributed paramserv overheads
>
LI Guobao created SYSTEMML-2476:
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Summary: Unexpected mapreduce task
Key: SYSTEMML-2476
URL: https://issues.apache.org/jira/browse/SYSTEMML-2476
Project: SystemML
Issue Type: Bug
Re
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LI Guobao updated SYSTEMML-2476:
Description:
When trying to use scalar casting to get element from a list, unexpected
mapreduce
LI Guobao created SYSTEMML-2477:
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Summary: NPE when copying list object
Key: SYSTEMML-2477
URL: https://issues.apache.org/jira/browse/SYSTEMML-2477
Project: SystemML
Issue Type: Bug
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LI Guobao resolved SYSTEMML-2477.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> NPE when copying list object
>
LI Guobao created SYSTEMML-2478:
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Summary: Unexpected MR task when using parfor
Key: SYSTEMML-2478
URL: https://issues.apache.org/jira/browse/SYSTEMML-2478
Project: SystemML
Issue Type: Bug
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https://issues.apache.org/jira/browse/SYSTEMML-2478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2478:
Description: When using parfor inside update function, some MR tasks
> Unexpected MR task when
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https://issues.apache.org/jira/browse/SYSTEMML-2478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2478:
Summary: Overhead when using parfor in update func (was: Unexpected MR
task when using parfor)
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https://issues.apache.org/jira/browse/SYSTEMML-2478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2478:
Description:
When using parfor inside update function, some MR tasks are launched to write
the
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https://issues.apache.org/jira/browse/SYSTEMML-2478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2478:
Description:
When using parfor inside update function, some MR tasks are launched to write
the
LI Guobao created SYSTEMML-2482:
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Summary: Unexpected cleanup of list object
Key: SYSTEMML-2482
URL: https://issues.apache.org/jira/browse/SYSTEMML-2482
Project: SystemML
Issue Type: Bug
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