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LI Guobao resolved SYSTEMML-2376.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Preparation of baseline experiments
>
LI Guobao created SYSTEMML-2396:
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Summary: Batch pre-fetching per workers
Key: SYSTEMML-2396
URL: https://issues.apache.org/jira/browse/SYSTEMML-2396
Project: SystemML
Issue Type: Sub-task
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LI Guobao updated SYSTEMML-2396:
Description: This task aims to improve the performance of workers.
Currently, in each iteration
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LI Guobao edited comment on SYSTEMML-2396 at 6/14/18 10:18 PM:
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LI Guobao commented on SYSTEMML-2396:
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[~mboehm7], is it correct this description? And also, after
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LI Guobao reassigned SYSTEMML-2397:
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Assignee: LI Guobao
> Paramserv ASP failing w/ OOM (too many threads)
>
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LI Guobao resolved SYSTEMML-2402.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Rework the function block
LI Guobao created SYSTEMML-2406:
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Summary: Paramserv low accuracy with EPOCH update frequency
Key: SYSTEMML-2406
URL: https://issues.apache.org/jira/browse/SYSTEMML-2406
Project: SystemML
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LI Guobao updated SYSTEMML-2406:
Description: In the EPOCH update strategy, we should aggregate the
gradients generated after
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LI Guobao resolved SYSTEMML-2406.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Paramserv low accuracy with EPOCH
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LI Guobao closed SYSTEMML-2401.
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> Paramserv worker number not set as user expected
>
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https://issues.apache.org/jira/browse/SYSTEMML-2381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao resolved SYSTEMML-2381.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Reorganise the api of data
LI Guobao created SYSTEMML-2412:
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Summary: Paramserv "all the same accuracy" problem
Key: SYSTEMML-2412
URL: https://issues.apache.org/jira/browse/SYSTEMML-2412
Project: SystemML
Issue Type:
LI Guobao created SYSTEMML-2413:
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Summary: Paramserv performance bottleneck on the DAG recompilation
Key: SYSTEMML-2413
URL: https://issues.apache.org/jira/browse/SYSTEMML-2413
Project: SystemML
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LI Guobao edited comment on SYSTEMML-2396 at 6/14/18 10:14 PM:
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LI Guobao commented on SYSTEMML-2376:
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[~mboehm7], I found the reason for this problem with your
LI Guobao created SYSTEMML-2381:
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Summary: Reorganise the api of data partitioner
Key: SYSTEMML-2381
URL: https://issues.apache.org/jira/browse/SYSTEMML-2381
Project: SystemML
Issue Type:
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https://issues.apache.org/jira/browse/SYSTEMML-2344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2344:
Summary: Determine the level of parallelism (was: Determine the level of
par)
> Determine the
LI Guobao created SYSTEMML-2348:
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Summary: Rewrite the ps using BlockingQueue
Key: SYSTEMML-2348
URL: https://issues.apache.org/jira/browse/SYSTEMML-2348
Project: SystemML
Issue Type: Sub-task
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LI Guobao updated SYSTEMML-2344:
Description:
This task aims to determine the number of the local workers according to the
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LI Guobao commented on SYSTEMML-2349:
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[~mboehm7], I'd like to know if we need to handle the error
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LI Guobao updated SYSTEMML-2349:
Summary: Error handling (was: Local worker error handling)
> Error handling
> --
>
LI Guobao created SYSTEMML-2349:
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Summary: Local worker error handling
Key: SYSTEMML-2349
URL: https://issues.apache.org/jira/browse/SYSTEMML-2349
Project: SystemML
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SYSTEMML-2348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao resolved SYSTEMML-2348.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Rewrite the ps using BlockingQueue
LI Guobao created SYSTEMML-2358:
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Summary: Extend the update strategy ASP
Key: SYSTEMML-2358
URL: https://issues.apache.org/jira/browse/SYSTEMML-2358
Project: SystemML
Issue Type: Sub-task
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LI Guobao edited comment on SYSTEMML-2359 at 6/3/18 8:35 PM:
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@[~mboehm7],
LI Guobao created SYSTEMML-2359:
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Summary: Extend update per EPOCH
Key: SYSTEMML-2359
URL: https://issues.apache.org/jira/browse/SYSTEMML-2359
Project: SystemML
Issue Type: Sub-task
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LI Guobao resolved SYSTEMML-2358.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Extend the update strategy ASP
>
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LI Guobao commented on SYSTEMML-2359:
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@[~mboehm7], I got a question about this task. Firstly, is
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LI Guobao resolved SYSTEMML-2349.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Error handling
> --
>
>
LI Guobao created SYSTEMML-2354:
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Summary: Passing function pointers
Key: SYSTEMML-2354
URL: https://issues.apache.org/jira/browse/SYSTEMML-2354
Project: SystemML
Issue Type: Sub-task
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LI Guobao resolved SYSTEMML-2352.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Inline the agg service thread in ps
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https://issues.apache.org/jira/browse/SYSTEMML-2085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2085:
Due Date: 15/Jun/18 (was: 1/Jun/18)
> Initial version of local backend
>
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LI Guobao resolved SYSTEMML-2359.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Extend update per EPOCH
>
LI Guobao created SYSTEMML-2365:
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Summary: Extend the update strategy SSP
Key: SYSTEMML-2365
URL: https://issues.apache.org/jira/browse/SYSTEMML-2365
Project: SystemML
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SYSTEMML-2324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao closed SYSTEMML-2324.
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Resolution: Duplicate
Fix Version/s: SystemML 1.2
> Synchronization
> ---
>
>
LI Guobao created SYSTEMML-2366:
---
Summary: Reorganise the test
Key: SYSTEMML-2366
URL: https://issues.apache.org/jira/browse/SYSTEMML-2366
Project: SystemML
Issue Type: Sub-task
LI Guobao created SYSTEMML-2368:
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Summary: Extend scheme Overlap_Reshuffle
Key: SYSTEMML-2368
URL: https://issues.apache.org/jira/browse/SYSTEMML-2368
Project: SystemML
Issue Type: Sub-task
LI Guobao created SYSTEMML-2367:
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Summary: Extend scheme Disjoint_Random
Key: SYSTEMML-2367
URL: https://issues.apache.org/jira/browse/SYSTEMML-2367
Project: SystemML
Issue Type: Sub-task
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LI Guobao updated SYSTEMML-2364:
Description:
It aims to extend the scheme of data partition.
* Disjoint_Round_Robin: for each
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LI Guobao resolved SYSTEMML-2364.
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Resolution: Resolved
Fix Version/s: SystemML 1.2
> Extend scheme Disjoint_Round_Robin
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LI Guobao updated SYSTEMML-2364:
Description:
It aims to extend the three other schemes of data partition.
*
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LI Guobao commented on SYSTEMML-2354:
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[~mboehm7], I'm always not so clear on "passing the
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LI Guobao updated SYSTEMML-2419:
Description: In the context of distributed spark env, we need to firstly
ship the necessary
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https://issues.apache.org/jira/browse/SYSTEMML-2421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2421:
Description: It aims to introduce the checkpointing to guarantee that the
worker could recover
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https://issues.apache.org/jira/browse/SYSTEMML-2421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2421:
Description: It aims to introduce the checkpointing to guarantee that the
worker could recover
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LI Guobao updated SYSTEMML-2421:
Description: It aims to introduce the checkpointing to guarantee that the
worker could recover
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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16525299#comment-16525299
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LI Guobao commented on SYSTEMML-2418:
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[~mboehm7], is it correct my logic? By the way, I'd like to
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
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https://issues.apache.org/jira/browse/SYSTEMML-2420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could
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LI Guobao commented on SYSTEMML-2420:
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[~mboehm7], thanks for the feedback. And I decided to take
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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:
Attachment: systemml_rpc_sequence_diagram.png
> Communication between ps and workers
>
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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 updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could
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https://issues.apache.org/jira/browse/SYSTEMML-2420?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16521704#comment-16521704
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LI Guobao commented on SYSTEMML-2420:
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[~mboehm7], I wrote down the idea for implementing the
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LI Guobao updated SYSTEMML-2416:
Summary: Use synchronized method instead of single thread pool in agg
service (was: Use
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
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LI Guobao updated SYSTEMML-2403:
Description:
We could observe that the low accuracy will sometimes occurred. Here is the
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https://issues.apache.org/jira/browse/SYSTEMML-2087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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-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
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
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could
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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ps, the training data will be partitioned
according to the
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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 updated SYSTEMML-2424:
Description: It aims to determine the parallelism level according to the
cluster resource,
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LI Guobao updated SYSTEMML-2420:
Description: It aims to implement the parameter exchange between ps and
workers. We could
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https://issues.apache.org/jira/browse/SYSTEMML-2087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2087:
Description: This part aims to implement the parameter server for spark
distributed backend.
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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 resolved SYSTEMML-2416.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Use synchronized method instead of
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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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https://issues.apache.org/jira/browse/SYSTEMML-2087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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-2420:
---
Summary: Communication between ps and workers
Key: SYSTEMML-2420
URL: https://issues.apache.org/jira/browse/SYSTEMML-2420
Project: SystemML
Issue Type:
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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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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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 commented on SYSTEMML-2083:
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Hello,
I'm LI Guobao, 2nd year computer science in master
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LI Guobao commented on SYSTEMML-2083:
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Hi,
I have launched some samples of SystemML locally on my
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https://issues.apache.org/jira/browse/SYSTEMML-2077?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16372920#comment-16372920
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LI Guobao commented on SYSTEMML-2077:
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Hello,
Can you give me some information about how the
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https://issues.apache.org/jira/browse/SYSTEMML-2077?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16374310#comment-16374310
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LI Guobao commented on SYSTEMML-2077:
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Hi [~mboehm7], I have a problem of compiling the code. I
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LI Guobao edited comment on SYSTEMML-2412 at 6/20/18 3:29 PM:
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LI Guobao commented on SYSTEMML-2412:
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[~mboehm7], in fact, when I tried to replace the for with
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LI Guobao edited comment on SYSTEMML-2412 at 6/20/18 3:31 PM:
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LI Guobao edited comment on SYSTEMML-2412 at 6/20/18 3:32 PM:
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LI Guobao edited comment on SYSTEMML-2412 at 6/20/18 3:30 PM:
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LI Guobao commented on SYSTEMML-2413:
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[~mboehm7] , in fact, I found that maybe this expensive dag
LI Guobao created SYSTEMML-2414:
---
Summary: Paramserv zero accuracy with Overlap_Reshuffle
Key: SYSTEMML-2414
URL: https://issues.apache.org/jira/browse/SYSTEMML-2414
Project: SystemML
Issue
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https://issues.apache.org/jira/browse/SYSTEMML-2413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16518195#comment-16518195
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LI Guobao edited comment on SYSTEMML-2413 at 6/20/18 2:26 PM:
--
[~mboehm7]
LI Guobao created SYSTEMML-2416:
---
Summary: Use synchronized method instead of thread in agg service
Key: SYSTEMML-2416
URL: https://issues.apache.org/jira/browse/SYSTEMML-2416
Project: SystemML
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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 resolved SYSTEMML-2413.
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Resolution: Fixed
Fix Version/s: SystemML 1.2
> Paramserv performance bottleneck on
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https://issues.apache.org/jira/browse/SYSTEMML-2482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16567477#comment-16567477
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LI Guobao commented on SYSTEMML-2482:
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I just saw your latest commit. Thanks for helping me. And
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https://issues.apache.org/jira/browse/SYSTEMML-2482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16567470#comment-16567470
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LI Guobao commented on SYSTEMML-2482:
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[~mboehm7] well, sorry about the unspecific description.
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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:
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Assignee: LI Guobao
> Large distributed paramserv overheads
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https://issues.apache.org/jira/browse/SYSTEMML-2466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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https://issues.apache.org/jira/browse/SYSTEMML-2466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao reassigned SYSTEMML-2466:
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Assignee: LI Guobao
> Distributed paramserv fails on newer Spark version > 2.1
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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 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
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https://issues.apache.org/jira/browse/SYSTEMML-2476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2476:
Description:
When trying to use scalar casting to get element from a list, unexpected
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https://issues.apache.org/jira/browse/SYSTEMML-2471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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