singa-incubating-0.3.0 Release Notes · Apache SINGA
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Editsinga-incubating-0.3.0 Release Notes
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.
This release includes following features:
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
Remove Dependences
[SINGA-156] Remove the dependency on ZMQ for single process training
[SINGA-155] Remove zookeeper for single-process training
Python Binding
[SINGA-126] Python Binding for Interactive Training
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
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
Last updated on 4/2/2020
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