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From wang...@apache.org
Subject svn commit: r1712706 - /incubator/singa/site/trunk/content/markdown/develop/schedule.md
Date Thu, 05 Nov 2015 03:28:10 GMT
Author: wangwei
Date: Thu Nov  5 03:28:10 2015
New Revision: 1712706

URL: http://svn.apache.org/viewvc?rev=1712706&view=rev
Log:
update schedule for v0.3

Modified:
    incubator/singa/site/trunk/content/markdown/develop/schedule.md

Modified: incubator/singa/site/trunk/content/markdown/develop/schedule.md
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/develop/schedule.md?rev=1712706&r1=1712705&r2=1712706&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/develop/schedule.md (original)
+++ incubator/singa/site/trunk/content/markdown/develop/schedule.md Thu Nov  5 03:28:10 2015
@@ -3,7 +3,7 @@
 
 | Release | Module| Feature | Status |
 |---------|---------|-------------|--------|
-| 0.1 Sep.     | Neural Network |1.1. Feed forward neural network, including CNN, MLP | done|
+| 0.1 Sep     | Neural Network |1.1. Feed forward neural network, including CNN, MLP | done|
 |         |          |1.2. RBM-like model, including RBM | done|
 |         |                |1.3. Recurrent neural network, including standard RNN | done|
 |         | Architecture   |1.4. One worker group on single node (with data partition)| done|
@@ -14,7 +14,7 @@
 |         |                |1.9. Load-balance among servers | done|
 |         | Failure recovery|1.10. Checkpoint and restore |done|
 |         | Tools|1.11. Installation with GNU auto tools| done|
-|0.2 Dec.  | Neural Network |2.1. Feed forward neural network, including VGG model, CSV input
layer, HDFS output layer, etc.||
+|0.2 Dec | Neural Network |2.1. Feed forward neural network, including VGG model, CSV input
layer, HDFS output layer, etc.||
 |         |                |2.2. Recurrent neural network, including GRU and LSTM| |
 |         | |2.3. Model partition and hybrid partition||
 |         | Configuration   |2.4. Configuration helpers for popular models, e.g., CNN, MLP,
Auto-encoders||
@@ -22,3 +22,10 @@
 |         |               |2.6. Prepare Docker images for deployment||
 |         | Binding        |2.7. Python binding for major components ||
 |         | GPU            |2.8. Single node with multiple GPUs ||
+|0.3 Mar | GPU | 3.1 Multiple nodes, each with multiple GPUs||
+|        |     | 3.2 Heterogeneous training using both GPU and CPU [CcT](http://arxiv.org/abs/1504.04343)||
+|        | Phi | 3.3 Integration with Intel Phi co-processors (depending on the availability
of the hardware)||
+|         | Tools| 3.4 Deep learning as a service ||
+|         | Applications | 3.5 Speech and NLP applications||
+|         | Optimization | 3.6 ... ||
+



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