development plan for SINGA

[ooibc <oo...@comp.nus.edu.sg>]

Based on our quick check at the release of Tensorflow and online 
discussions, it appears to be 2x slower than MXNet (ancestor of CXXNET) 
on cifar10 dataset, and it contains older
codes like cudnn-v2. This could be just a form of crowdsourcing at work.

SINGA is data flow centric in design, and provides simple interfaces, 
from layer abstraction to neural net structure, model 
configuration/mapping, model/data partitioning, function overriding, and 
training framework configuration.

So, we are good and we should keep to the development/release plan 
outlined in
     http://singa.apache.org/develop/schedule.html

Thanks, and Happy Deepavali (to those who celebrate)!

regards
beng chin

Re: development plan for SINGA

[Wang Wei <wa...@comp.nus.edu.sg>]

FYI.
Performance test of TensorFlow.
https://github.com/soumith/convnet-benchmarks/issues/66

On Tue, Nov 10, 2015 at 10:28 PM, ooibc <oo...@comp.nus.edu.sg> wrote:

>
>
> Based on our quick check at the release of Tensorflow and online
> discussions, it appears to be 2x slower than MXNet (ancestor of CXXNET) on
> cifar10 dataset, and it contains older
> codes like cudnn-v2. This could be just a form of crowdsourcing at work.
>
> SINGA is data flow centric in design, and provides simple interfaces, from
> layer abstraction to neural net structure, model configuration/mapping,
> model/data partitioning, function overriding, and training framework
> configuration.
>
> So, we are good and we should keep to the development/release plan
> outlined in
>     http://singa.apache.org/develop/schedule.html
>
> Thanks, and Happy Deepavali (to those who celebrate)!
>
> regards
> beng chin
>
>
>