| #singa-incubating-0.3.0 Release Notes |
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| SINGA is a general distributed deep learning platform for training big deep |
| learning models over large datasets. It is designed with an intuitive |
| programming model based on the layer abstraction. SINGA supports a wide variety |
| of popular deep learning models. |
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| This release includes following features: |
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| * GPU Support |
| * [SINGA-131] Implement and optimize hybrid training using both CPU and GPU |
| * [SINGA-136] Support cuDNN v4 |
| * [SINGA-134] Extend SINGA to run over a GPU cluster |
| * [SINGA-157] Change the priority of cudnn library and install libsingagpu.so |
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| * Remove Dependences |
| * [SINGA-156] Remove the dependency on ZMQ for single process training |
| * [SINGA-155] Remove zookeeper for single-process training |
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| * Python Binding |
| * [SINGA-126] Python Binding for Interactive Training |
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| * Other Improvements |
| * [SINGA-80] New Blob Level and Address Level Math Operation Interface |
| * [SINGA-130] Data Prefetching |
| * [SINGA-145] New SGD based optimization Updaters: AdaDelta, Adam, AdamMax |
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| * Bugs Fixed |
| * [SINGA-148] Race condition between Worker threads and Driver |
| * [SINGA-150] Mesos Docker container failed |
| * [SIGNA-141] Undesired Hash collision when locating process id to worker… |
| * [SINGA-149] Docker build fail |
| * [SINGA-143] The compilation cannot detect libsingagpu.so file |
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