Release of Apache SINGA v0.2 (incubating) – distributed deep learning platform
1–5 of 5 posts
Re: Release of Apache SINGA v0.2 (incubating) – distributed deep learning platform
#2Can it run in a GPU cluster?
Re: Release of Apache SINGA v0.2 (incubating) – distributed deep learning platform
#3Is there a comparison between SINGA and Tensorflow?
Re: Release of Apache SINGA v0.2 (incubating) – distributed deep learning platform
#4Can it run in a GPU cluster?
It supports multiple GPUs in a single node in this version. Support for GPU cluster is scheduled in the next version referring to http://singa.incubator.apache.org/develop/schedule.html
Re: Release of Apache SINGA v0.2 (incubating) – distributed deep learning platform
#5Is there a comparison between SINGA and Tensorflow?
1. TF uses a more basic abstraction in the programming model, i.e., TF.Varaible, than SINGA which is based on the Layer abstraction. Hence their data flow graphs have some differences.
2. SINGA supports distributed training better than the current version of TensorFlow, I think. Both synchronous and asynchronous distributed training frameworks are supported in SINGA.
3. Performance (efficiency, memory cost and scalability) would be compared in v0.3.