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466 messages
org.apache.systemml.issues [
All Lists
]
2017 July [
All Months
]
Page 1 (Messages 1 to 25):
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[jira] [Commented] (SYSTEMML-1677) Add a new 2D cross-entropy layer
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Mike Dusenberry (JIRA)
[jira] [Updated] (SYSTEMML-1752) Cache-conscious mmchain matrix multiply for wide matrices
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Matthias Boehm (JIRA)
[jira] [Created] (SYSTEMML-1753) OOM on parfor local in-memory result merge
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Matthias Boehm (JIRA)
[jira] [Updated] (SYSTEMML-1557) Optimizer changes for GPU backend
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Arvind Surve (JIRA)
[jira] [Created] (SYSTEMML-1760) Improve engine robustness of distributed SGD training
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Mike Dusenberry (JIRA)
[jira] [Updated] (SYSTEMML-1761) Sparsity-exploiting weighted squared loss w/o weights
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Matthias Boehm (JIRA)
[jira] [Updated] (SYSTEMML-1762) Improve the robustness of sparse matrix reshape function for the Spark mode
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Fei Hu (JIRA)
[jira] [Created] (SYSTEMML-1767) Performance issues codegen rowwise (column aggregation) w/ wide matrices
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Matthias Boehm (JIRA)
[jira] [Closed] (SYSTEMML-1768) Cleanup SystemML-config.xml
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Matthias Boehm (JIRA)
[jira] [Created] (SYSTEMML-1770) MatrixAppendGPUInstruction#type masks field in Instruction
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Ted Yu (JIRA)
[jira] [Comment Edited] (SYSTEMML-1774) Improve Parfor parallelism for deep learning
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Fei Hu (JIRA)
[jira] [Comment Edited] (SYSTEMML-1774) Improve Parfor parallelism for deep learning
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Fei Hu (JIRA)
[jira] [Commented] (SYSTEMML-1159) Enable Remote Hyperparameter Tuning
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Mike Dusenberry (JIRA)
[jira] [Created] (SYSTEMML-1775) Reduce number of unused method/constructor parameters
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Deron Eriksson (JIRA)
[jira] [Comment Edited] (SYSTEMML-1774) Improve Parfor parallelism for deep learning
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Fei Hu (JIRA)
[jira] [Updated] (SYSTEMML-1437) Implement and scale Factorization Machines using SystemML
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Janardhan (JIRA)
[jira] [Updated] (SYSTEMML-1785) Call UDFs inline in the expressions without variables
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Janardhan (JIRA)
[jira] [Commented] (SYSTEMML-1213) Implement scalable matrix decompositions and inverse
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Janardhan (JIRA)
[jira] [Created] (SYSTEMML-1792) Performance issue sparse-dense matrix multiply
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Matthias Boehm (JIRA)
[jira] [Resolved] (SYSTEMML-1800) Matrix/frame block reader utils from streams
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Matthias Boehm (JIRA)
[jira] [Updated] (SYSTEMML-1786) Prepare enablement training presentation
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Glenn Weidner (JIRA)
[jira] [Comment Edited] (SYSTEMML-1444) UDFs w/ single output in expressions
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Janardhan (JIRA)
[jira] [Assigned] (SYSTEMML-1652) Verify whether ALS scripts work with MLContext
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Glenn Weidner (JIRA)
[jira] [Created] (SYSTEMML-1818) Perftest: Kmeans train fails for 10Kx100, k=50, w/ forced singlenode
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Matthias Boehm (JIRA)
[jira] [Updated] (SYSTEMML-1809) Optimize the performance of the distributed MNIST_LeNet_Sgd model training
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Fei Hu (JIRA)
Page 1 (Messages 1 to 25):
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