[jira] [Closed] (SYSTEMML-547) Implement built-in functions for max and average pooling

[ https://issues.apache.org/jira/browse/SYSTEMML-547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-547. Resolution: Fixed Fix Version/s: SystemML 0.10

[jira] [Updated] (SYSTEMML-692) Generate DML from Caffe solver/net proto files

[ https://issues.apache.org/jira/browse/SYSTEMML-692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-692: - Issue Type: Task (was: Epic) > Generate DML from Caffe solver/net proto files >

[jira] [Created] (SYSTEMML-719) Create proto file for Autoencoder and test the generated DML on MNIST dataset for accuracy

Niketan Pansare created SYSTEMML-719: Summary: Create proto file for Autoencoder and test the generated DML on MNIST dataset for accuracy Key: SYSTEMML-719 URL:

[jira] [Created] (SYSTEMML-720) Implement additional loss layers required by the Autoencoder proto

Niketan Pansare created SYSTEMML-720: Summary: Implement additional loss layers required by the Autoencoder proto Key: SYSTEMML-720 URL: https://issues.apache.org/jira/browse/SYSTEMML-720

[jira] [Commented] (SYSTEMML-704) Host jcu*.jar libraries on mvn repo

[ https://issues.apache.org/jira/browse/SYSTEMML-704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304772#comment-15304772 ] Niketan Pansare commented on SYSTEMML-704: -- As per the discussion on the dev mailing list, the

[jira] [Created] (SYSTEMML-734) Implement additional loss layers required by the GoogleNet proto

Niketan Pansare created SYSTEMML-734: Summary: Implement additional loss layers required by the GoogleNet proto Key: SYSTEMML-734 URL: https://issues.apache.org/jira/browse/SYSTEMML-734 Project:

[jira] [Updated] (SYSTEMML-692) Generate DML from Caffe solver/net proto files

[ https://issues.apache.org/jira/browse/SYSTEMML-692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-692: - Issue Type: Epic (was: Task) > Generate DML from Caffe solver/net proto files >

[jira] [Commented] (SYSTEMML-717) Create proto file for Lenet and test the generated DML on MNIST dataset for accuracy

[ https://issues.apache.org/jira/browse/SYSTEMML-717?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304735#comment-15304735 ] Niketan Pansare commented on SYSTEMML-717: -- Created

[jira] [Created] (SYSTEMML-730) Add fused GPU instructions for LSTM/RNN

Niketan Pansare created SYSTEMML-730: Summary: Add fused GPU instructions for LSTM/RNN Key: SYSTEMML-730 URL: https://issues.apache.org/jira/browse/SYSTEMML-730 Project: SystemML Issue

[jira] [Created] (SYSTEMML-731) Conduct initial performance experiments for mat mult

Niketan Pansare created SYSTEMML-731: Summary: Conduct initial performance experiments for mat mult Key: SYSTEMML-731 URL: https://issues.apache.org/jira/browse/SYSTEMML-731 Project: SystemML

[jira] [Created] (SYSTEMML-717) Create proto file for Lenet and test the generated DML on MNIST dataset for accuracy

Niketan Pansare created SYSTEMML-717: Summary: Create proto file for Lenet and test the generated DML on MNIST dataset for accuracy Key: SYSTEMML-717 URL: https://issues.apache.org/jira/browse/SYSTEMML-717

[jira] [Assigned] (SYSTEMML-692) Create initial prototype for generating DML from Caffe solver/net proto files

[ https://issues.apache.org/jira/browse/SYSTEMML-692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-692: Assignee: Niketan Pansare > Create initial prototype for generating DML from

[jira] [Created] (SYSTEMML-718) Implement generator for the layers used in Lenet proto

Niketan Pansare created SYSTEMML-718: Summary: Implement generator for the layers used in Lenet proto Key: SYSTEMML-718 URL: https://issues.apache.org/jira/browse/SYSTEMML-718 Project: SystemML

[jira] [Created] (SYSTEMML-725) Implement generator for the layers used in AlexNet proto

Niketan Pansare created SYSTEMML-725: Summary: Implement generator for the layers used in AlexNet proto Key: SYSTEMML-725 URL: https://issues.apache.org/jira/browse/SYSTEMML-725 Project: SystemML

[jira] [Created] (SYSTEMML-726) Explore additional solver generators (for example: L-BFGS, Conjugate gradient)

Niketan Pansare created SYSTEMML-726: Summary: Explore additional solver generators (for example: L-BFGS, Conjugate gradient) Key: SYSTEMML-726 URL: https://issues.apache.org/jira/browse/SYSTEMML-726

[jira] [Created] (SYSTEMML-729) Add GPU instructions that utilizes CuDNN v4's conv2d and pooling related functions

Niketan Pansare created SYSTEMML-729: Summary: Add GPU instructions that utilizes CuDNN v4's conv2d and pooling related functions Key: SYSTEMML-729 URL: https://issues.apache.org/jira/browse/SYSTEMML-729

[jira] [Comment Edited] (SYSTEMML-732) Explore different memory management policy for GPU

[ https://issues.apache.org/jira/browse/SYSTEMML-732?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304794#comment-15304794 ] Niketan Pansare edited comment on SYSTEMML-732 at 5/27/16 9:17 PM: --- In

[jira] [Commented] (SYSTEMML-732) Explore different memory management policy for GPU

[ https://issues.apache.org/jira/browse/SYSTEMML-732?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304794#comment-15304794 ] Niketan Pansare commented on SYSTEMML-732: -- In initial PR, we are using a naive eviction

[jira] [Commented] (SYSTEMML-721) Integrate Barista api into DMLScript for direct invocation

[ https://issues.apache.org/jira/browse/SYSTEMML-721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304745#comment-15304745 ] Niketan Pansare commented on SYSTEMML-721: -- This issue is dependent on the PR getting into the

[jira] [Created] (SYSTEMML-727) Add bufferpool integration logic to CUDA backend

Niketan Pansare created SYSTEMML-727: Summary: Add bufferpool integration logic to CUDA backend Key: SYSTEMML-727 URL: https://issues.apache.org/jira/browse/SYSTEMML-727 Project: SystemML

[jira] [Created] (SYSTEMML-733) Create proto file for GoogleNet and test the generated DML on ImageNet dataset for accuracy

Niketan Pansare created SYSTEMML-733: Summary: Create proto file for GoogleNet and test the generated DML on ImageNet dataset for accuracy Key: SYSTEMML-733 URL:

[jira] [Created] (SYSTEMML-737) Explore Multi-GPU instructions on the driver

Niketan Pansare created SYSTEMML-737: Summary: Explore Multi-GPU instructions on the driver Key: SYSTEMML-737 URL: https://issues.apache.org/jira/browse/SYSTEMML-737 Project: SystemML

[jira] [Created] (SYSTEMML-739) Explore model-parallel constructs in DML

Niketan Pansare created SYSTEMML-739: Summary: Explore model-parallel constructs in DML Key: SYSTEMML-739 URL: https://issues.apache.org/jira/browse/SYSTEMML-739 Project: SystemML Issue

[jira] [Commented] (SYSTEMML-704) Host jcu*.jar libraries on mvn repo

[ https://issues.apache.org/jira/browse/SYSTEMML-704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15306109#comment-15306109 ] Niketan Pansare commented on SYSTEMML-704: -- Alternate option is to use:

[jira] [Commented] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-singlenode mode on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15345582#comment-15345582 ] Niketan Pansare commented on SYSTEMML-762: -- [~mwdus...@us.ibm.com] Local MR jobs were created

[jira] [Commented] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-single node on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15332610#comment-15332610 ] Niketan Pansare commented on SYSTEMML-762: -- [~mwdus...@us.ibm.com] [~mboehm7] [~reinwald] Will

[jira] [Created] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-single node on MNIST data for Lenet script

Niketan Pansare created SYSTEMML-762: Summary: Fix the bug that causes local MR-Jobs when running in non-single node on MNIST data for Lenet script Key: SYSTEMML-762 URL:

[jira] [Assigned] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-single node on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-762: Assignee: Niketan Pansare > Fix the bug that causes local MR-Jobs when running

[jira] [Updated] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-singlenode mode on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-762: - Summary: Fix the bug that causes local MR-Jobs when running in non-singlenode mode on

[jira] [Commented] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-singlenode mode on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15348913#comment-15348913 ] Niketan Pansare commented on SYSTEMML-762: -- Yes, this is expected as no metadata is available

[jira] [Comment Edited] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-singlenode mode on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15348913#comment-15348913 ] Niketan Pansare edited comment on SYSTEMML-762 at 6/24/16 11:53 PM:

[jira] [Commented] (SYSTEMML-762) Fix the bug that causes local MR-Jobs when running in non-singlenode mode on MNIST data for Lenet script

[ https://issues.apache.org/jira/browse/SYSTEMML-762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15333009#comment-15333009 ] Niketan Pansare commented on SYSTEMML-762: -- Fixed by the commit:

[jira] [Commented] (SYSTEMML-590) Assume Parent's Namespace for Nested UDF calls.

[ https://issues.apache.org/jira/browse/SYSTEMML-590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15209042#comment-15209042 ] Niketan Pansare commented on SYSTEMML-590: -- Hi [~mboehm7], I have not looked into this yet.

[jira] [Commented] (SYSTEMML-538) Decoding ID columns to string

[ https://issues.apache.org/jira/browse/SYSTEMML-538?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15182506#comment-15182506 ] Niketan Pansare commented on SYSTEMML-538: -- It is a useful feature to have. This brings an

[jira] [Commented] (SYSTEMML-579) Packing our algorithm scripts into JAR

[ https://issues.apache.org/jira/browse/SYSTEMML-579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15253104#comment-15253104 ] Niketan Pansare commented on SYSTEMML-579: -- Added script in

[jira] [Created] (SYSTEMML-704) Host jcu*.jar libraries on mvn repo

Niketan Pansare created SYSTEMML-704: Summary: Host jcu*.jar libraries on mvn repo Key: SYSTEMML-704 URL: https://issues.apache.org/jira/browse/SYSTEMML-704 Project: SystemML Issue Type:

[jira] [Assigned] (SYSTEMML-703) Install CUDA along with CuDNN on Jenkins

[ https://issues.apache.org/jira/browse/SYSTEMML-703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-703: Assignee: Alan Chin > Install CUDA along with CuDNN on Jenkins >

[jira] [Updated] (SYSTEMML-702) Implement GPU sparse matrix multiplication

[ https://issues.apache.org/jira/browse/SYSTEMML-702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-702: - Assignee: (was: Nakul Jindal) > Implement GPU sparse matrix multiplication >

[jira] [Updated] (SYSTEMML-703) Install CUDA along with CuDNN on Jenkins

[ https://issues.apache.org/jira/browse/SYSTEMML-703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-703: - Assignee: (was: Alan Chin) > Install CUDA along with CuDNN on Jenkins >

[jira] [Commented] (SYSTEMML-704) Host jcu*.jar libraries on mvn repo

[ https://issues.apache.org/jira/browse/SYSTEMML-704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15294196#comment-15294196 ] Niketan Pansare commented on SYSTEMML-704: -- I agree. I assume by artifact you mean only the

[jira] [Updated] (SYSTEMML-701) Implement functionality to transfer CP sparse matrixblock to GPU (and back)

[ https://issues.apache.org/jira/browse/SYSTEMML-701?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-701: - Assignee: (was: Nakul Jindal) > Implement functionality to transfer CP sparse

[jira] [Commented] (SYSTEMML-703) Install CUDA along with CuDNN on Jenkins

[ https://issues.apache.org/jira/browse/SYSTEMML-703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15294505#comment-15294505 ] Niketan Pansare commented on SYSTEMML-703: -- Thanks [~akchin] :) > Install CUDA along with

[jira] [Commented] (SYSTEMML-593) MLContext Redesign

[ https://issues.apache.org/jira/browse/SYSTEMML-593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15280832#comment-15280832 ] Niketan Pansare commented on SYSTEMML-593: -- Thanks [~deron] for creating the design document.

[jira] [Created] (SYSTEMML-685) Add documentation to map the NumPy tensor calls to DML expressions.

Niketan Pansare created SYSTEMML-685: Summary: Add documentation to map the NumPy tensor calls to DML expressions. Key: SYSTEMML-685 URL: https://issues.apache.org/jira/browse/SYSTEMML-685

[jira] [Created] (SYSTEMML-686) Implement Spark instructions for convolution and pooling functions

Niketan Pansare created SYSTEMML-686: Summary: Implement Spark instructions for convolution and pooling functions Key: SYSTEMML-686 URL: https://issues.apache.org/jira/browse/SYSTEMML-686

[jira] [Created] (SYSTEMML-687) Optimize CP convolution/pooling instructions for sparse inputs

Niketan Pansare created SYSTEMML-687: Summary: Optimize CP convolution/pooling instructions for sparse inputs Key: SYSTEMML-687 URL: https://issues.apache.org/jira/browse/SYSTEMML-687 Project:

[jira] [Commented] (SYSTEMML-695) Incorrect rand normal w/ fused scalar operation

[ https://issues.apache.org/jira/browse/SYSTEMML-695?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15283601#comment-15283601 ] Niketan Pansare commented on SYSTEMML-695: -- Thanks Matthias > Incorrect rand normal w/ fused

[jira] [Created] (SYSTEMML-692) Automatic DML generation using the model specification of existing Deep Learning libraries such as Caffe

Niketan Pansare created SYSTEMML-692: Summary: Automatic DML generation using the model specification of existing Deep Learning libraries such as Caffe Key: SYSTEMML-692 URL:

[jira] [Closed] (SYSTEMML-742) Implement MMTSJGPUInstruction instruction for GPU backend along with corresponding Hops/Lops

[ https://issues.apache.org/jira/browse/SYSTEMML-742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-742. Resolution: Fixed Fix Version/s: SystemML 0.11 > Implement MMTSJGPUInstruction

[jira] [Updated] (SYSTEMML-742) Implement MMTSJGPUInstruction instruction for GPU backend along with corresponding Hops/Lops

[ https://issues.apache.org/jira/browse/SYSTEMML-742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-742: - Assignee: Tanuj Kr Aasawat > Implement MMTSJGPUInstruction instruction for GPU backend

[jira] [Closed] (SYSTEMML-727) Add bufferpool integration logic to CUDA backend

[ https://issues.apache.org/jira/browse/SYSTEMML-727?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-727. Resolution: Fixed Fix Version/s: SystemML 0.11 > Add bufferpool integration logic

[jira] [Updated] (SYSTEMML-446) Exploit GPU BLAS libraries (integration)

[ https://issues.apache.org/jira/browse/SYSTEMML-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-446: - Assignee: Tanuj Kr Aasawat > Exploit GPU BLAS libraries (integration) >

[jira] [Created] (SYSTEMML-824) Improve the performance of binary cell-wise operations

Niketan Pansare created SYSTEMML-824: Summary: Improve the performance of binary cell-wise operations Key: SYSTEMML-824 URL: https://issues.apache.org/jira/browse/SYSTEMML-824 Project: SystemML

[jira] [Updated] (SYSTEMML-824) Improve the performance of binary cell-wise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-824: - Description: The cellwise (matrix-matrix as well as matrix-scalar) operations take

[jira] [Commented] (SYSTEMML-845) Compare Performance of LeNet Scripts With & Without Using SystemML-NN

[ https://issues.apache.org/jira/browse/SYSTEMML-845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15410063#comment-15410063 ] Niketan Pansare commented on SYSTEMML-845: -- [~mwdus...@us.ibm.com] The performance of

[jira] [Created] (SYSTEMML-854) Change Python MLContext to support new MLContext

Niketan Pansare created SYSTEMML-854: Summary: Change Python MLContext to support new MLContext Key: SYSTEMML-854 URL: https://issues.apache.org/jira/browse/SYSTEMML-854 Project: SystemML

[jira] [Created] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

Niketan Pansare created SYSTEMML-855: Summary: Add a "Get Started" tutorial for Python users Key: SYSTEMML-855 URL: https://issues.apache.org/jira/browse/SYSTEMML-855 Project: SystemML

[jira] [Updated] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-855: - Description: As an example, this tutorial could have following sections: 1. Steps to

[jira] [Updated] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-855: - Description: As an example, this tutorial could have following sections: 1. Steps to

[jira] [Updated] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-855: - Description: As an example, this tutorial could have following sections: 1. Steps to

[jira] [Updated] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-855: - Description: As an example, this tutorial could have following sections: 1. Steps to

[jira] [Updated] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-855: - Description: As an example, this tutorial could have following sections: 1. Steps to

[jira] [Updated] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-855: - Description: As an example, this tutorial could have following sections: 1. Steps to

[jira] [Commented] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15858442#comment-15858442 ] Niketan Pansare commented on SYSTEMML-1238: --- Looks like both script have same plan. This

[jira] [Comment Edited] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15858442#comment-15858442 ] Niketan Pansare edited comment on SYSTEMML-1238 at 2/8/17 7:36 PM: ---

[jira] [Comment Edited] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15858442#comment-15858442 ] Niketan Pansare edited comment on SYSTEMML-1238 at 2/8/17 7:36 PM: ---

[jira] [Commented] (SYSTEMML-1140) Sparse/Caching performance bugs related to deep learning scripts

[ https://issues.apache.org/jira/browse/SYSTEMML-1140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15847664#comment-15847664 ] Niketan Pansare commented on SYSTEMML-1140: --- Sorry, I forgot to update this JIRA with series

[jira] [Closed] (SYSTEMML-1190) Allow Python/Scala UDF to be passed to SystemML

[ https://issues.apache.org/jira/browse/SYSTEMML-1190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-1190. - Resolution: Won't Fix Fix Version/s: SystemML 1.0 > Allow Python/Scala UDF to

[jira] [Created] (SYSTEMML-1187) Documentation for removeEmpty with select is missing in DML Language reference

Niketan Pansare created SYSTEMML-1187: - Summary: Documentation for removeEmpty with select is missing in DML Language reference Key: SYSTEMML-1187 URL: https://issues.apache.org/jira/browse/SYSTEMML-1187

[jira] [Assigned] (SYSTEMML-769) Improve the performance of im2col for dense input

[ https://issues.apache.org/jira/browse/SYSTEMML-769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-769: Assignee: Niketan Pansare > Improve the performance of im2col for dense input >

[jira] [Resolved] (SYSTEMML-769) Improve the performance of im2col for dense input

[ https://issues.apache.org/jira/browse/SYSTEMML-769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-769. -- Resolution: Fixed Fix Version/s: SystemML 0.13 > Improve the performance of

[jira] [Updated] (SYSTEMML-703) Install CUDA along with CuDNN on Jenkins

[ https://issues.apache.org/jira/browse/SYSTEMML-703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-703: - Affects Version/s: SystemML 1.0 > Install CUDA along with CuDNN on Jenkins >

[jira] [Updated] (SYSTEMML-1159) Enable Remote Hyperparameter Tuning

[ https://issues.apache.org/jira/browse/SYSTEMML-1159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-1159: -- Affects Version/s: SystemML 1.0 > Enable Remote Hyperparameter Tuning >

[jira] [Commented] (SYSTEMML-824) Improve the performance of binary cell-wise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15875005#comment-15875005 ] Niketan Pansare commented on SYSTEMML-824: -- In context of deep learning, we should consider

[jira] [Updated] (SYSTEMML-1160) Enable Prefetching of Mini-Batches

[ https://issues.apache.org/jira/browse/SYSTEMML-1160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-1160: -- Affects Version/s: SystemML 1.0 > Enable Prefetching of Mini-Batches >

[jira] [Commented] (SYSTEMML-824) Improve the performance of binary cell-wise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15875024#comment-15875024 ] Niketan Pansare commented on SYSTEMML-824: -- Sounds good, Let's wait for

[jira] [Updated] (SYSTEMML-824) Improve the performance of binary cell-wise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-824: - Affects Version/s: SystemML 1.0 > Improve the performance of binary cell-wise

[jira] [Updated] (SYSTEMML-446) Phase 1: Exploit GPU BLAS libraries (integration)

[ https://issues.apache.org/jira/browse/SYSTEMML-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-446: - Affects Version/s: SystemML 1.0 > Phase 1: Exploit GPU BLAS libraries (integration) >

[jira] [Created] (SYSTEMML-1339) Autoencoder script for acoustic signal modeling

Niketan Pansare created SYSTEMML-1339: - Summary: Autoencoder script for acoustic signal modeling Key: SYSTEMML-1339 URL: https://issues.apache.org/jira/browse/SYSTEMML-1339 Project: SystemML

[jira] [Resolved] (SYSTEMML-1339) Autoencoder script for acoustic signal modeling

[ https://issues.apache.org/jira/browse/SYSTEMML-1339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-1339. --- Resolution: Fixed Fix Version/s: SystemML 1.0 Fixed in the commit

[jira] [Commented] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15871102#comment-15871102 ] Niketan Pansare commented on SYSTEMML-1238: --- 1. I have verified that the mllearn API in

[jira] [Resolved] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-1238. --- Resolution: Fixed Fix Version/s: SystemML 0.13 Fixed in the commit

[jira] [Commented] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15872777#comment-15872777 ] Niketan Pansare commented on SYSTEMML-1238: --- Thanks Imran :) > Python test failing for

[jira] [Comment Edited] (SYSTEMML-1238) Python test failing for LinearRegCG

[ https://issues.apache.org/jira/browse/SYSTEMML-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15871170#comment-15871170 ] Niketan Pansare edited comment on SYSTEMML-1238 at 2/17/17 5:33 AM:

[jira] [Created] (SYSTEMML-1340) Implement relu_maxpooling instruction for GPU

Niketan Pansare created SYSTEMML-1340: - Summary: Implement relu_maxpooling instruction for GPU Key: SYSTEMML-1340 URL: https://issues.apache.org/jira/browse/SYSTEMML-1340 Project: SystemML

[jira] [Created] (SYSTEMML-1341) Implement conv2d_bias_add instruction for GPU

Niketan Pansare created SYSTEMML-1341: - Summary: Implement conv2d_bias_add instruction for GPU Key: SYSTEMML-1341 URL: https://issues.apache.org/jira/browse/SYSTEMML-1341 Project: SystemML

[jira] [Created] (SYSTEMML-1342) Implement conv2d_bias_add instruction for GPU

Niketan Pansare created SYSTEMML-1342: - Summary: Implement conv2d_bias_add instruction for GPU Key: SYSTEMML-1342 URL: https://issues.apache.org/jira/browse/SYSTEMML-1342 Project: SystemML

[jira] [Closed] (SYSTEMML-1342) Implement conv2d_bias_add instruction for GPU

[ https://issues.apache.org/jira/browse/SYSTEMML-1342?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-1342. - Resolution: Duplicate > Implement conv2d_bias_add instruction for GPU >

[jira] [Created] (SYSTEMML-1343) Implement map-side instruction for prediction

Niketan Pansare created SYSTEMML-1343: - Summary: Implement map-side instruction for prediction Key: SYSTEMML-1343 URL: https://issues.apache.org/jira/browse/SYSTEMML-1343 Project: SystemML

[jira] [Commented] (SYSTEMML-941) Add support for cusparse axpy

[ https://issues.apache.org/jira/browse/SYSTEMML-941?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15866491#comment-15866491 ] Niketan Pansare commented on SYSTEMML-941: -- [~nakul02] Are you OK with closing this JIRA as

[jira] [Commented] (SYSTEMML-931) Error while allocating CSRPointer

[ https://issues.apache.org/jira/browse/SYSTEMML-931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15866487#comment-15866487 ] Niketan Pansare commented on SYSTEMML-931: -- [~nakul02] I believe this issue has been fixed. Can

[jira] [Assigned] (SYSTEMML-1033) Add LU and QR functionality to GPU backend

[ https://issues.apache.org/jira/browse/SYSTEMML-1033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-1033: - Assignee: Nakul Jindal > Add LU and QR functionality to GPU backend >

[jira] [Commented] (SYSTEMML-938) Make sparse memory estimation robust by handling unknown nnz.

[ https://issues.apache.org/jira/browse/SYSTEMML-938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15866615#comment-15866615 ] Niketan Pansare commented on SYSTEMML-938: -- [~nakul02] Can you confirm if this issue is

[jira] [Commented] (SYSTEMML-939) LibMatrixCUDA's vectorScalarMultiply() produces incorrect results.

[ https://issues.apache.org/jira/browse/SYSTEMML-939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15866496#comment-15866496 ] Niketan Pansare commented on SYSTEMML-939: -- [~nakul02] I believe this issue has been fixed. Can

[jira] [Closed] (SYSTEMML-731) Conduct initial performance experiments for mat mult

[ https://issues.apache.org/jira/browse/SYSTEMML-731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-731. Resolution: Fixed Fix Version/s: SystemML 0.12 > Conduct initial performance

[jira] [Assigned] (SYSTEMML-938) Make sparse memory estimation robust by handling unknown nnz.

[ https://issues.apache.org/jira/browse/SYSTEMML-938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-938: Assignee: Nakul Jindal > Make sparse memory estimation robust by handling

[jira] [Commented] (SYSTEMML-943) Create documentation explaining setup/usage for the GPU backend

[ https://issues.apache.org/jira/browse/SYSTEMML-943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15866621#comment-15866621 ] Niketan Pansare commented on SYSTEMML-943: -- The documentation

[jira] [Assigned] (SYSTEMML-731) Conduct initial performance experiments for mat mult

[ https://issues.apache.org/jira/browse/SYSTEMML-731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-731: Assignee: Nakul Jindal (was: Niketan Pansare) > Conduct initial performance

[jira] [Updated] (SYSTEMML-943) Create documentation explaining setup/usage for the GPU backend

[ https://issues.apache.org/jira/browse/SYSTEMML-943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-943: - Fix Version/s: (was: SystemML 0.11) SystemML 1.0 > Create

[jira] [Assigned] (SYSTEMML-943) Create documentation explaining setup/usage for the GPU backend

[ https://issues.apache.org/jira/browse/SYSTEMML-943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-943: Assignee: Niketan Pansare > Create documentation explaining setup/usage for the

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