What is this

This repository contains everything needed to train various networks (Alexnet, VGG, Resnet) with Bitpack and Bitunpack on Tensorflow.

Bitpack and Bitunpack routines are machine-specific hence two folders are provided for the x86 and POWER versions.

What do you need to run

• An x86/POWER machine with GPUs
• Tensorflow
• gcc on x86 and XLC on POWER
• CUDA
• ImageNet ILSVRC-2012 dataset in TFRecord format

How to run

1. Depends on the CPU model go to either bitpack_x86 or bitpack_power9, issue command "make".
2. Choose either one of the three available networks to run (Alexnet, VGG, Resnet). An example job script file is provided.

Reference: Sicong Zhuang, Cristiano Malossi and Marc Casas. 2020. Reducing Data Motion to Accelerate the Training of Deep Neural Networks. CoRR abs/2004.02297. https://arxiv.org/abs/2004.02297

Sicong Zhuang sicong.zhuang@gmail.com