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espresso's Issues

Extending this project to compare energy impact and adding Inception to the networks

Hi Zhihao,

I am taking a course on energy-aware embedded systems. I'm proposing a project that will measure and compare the performance of CPU and GPU implementations of NNs. During research, I found Espresso could be a really great point for me to start, because it's really hard to find naive and easily understandable implementations in production systems (like TensorFlow Mobile). Espresso is a minimal system that includes both naive CPU and GPU implementations of components of a CNN. I think I could contribute to the project in such steps:

  1. Port the project to Swift 3;
  2. Implement a new network (maybe Inception) using the layers;
  3. Create a report on comparison of energy impact of different implementations.

Would you allow me to use your project as a starting point and do you think my proposal is doable?

Thanks,
Xi

Performance compare to tensorflow

Hello,

Thanks for your work, it is quite interesting and exciting.

But on your home page, I only found the performance result compare with naive implementation, have you guys compared your performance with tensorflow ?

Thanks.

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