Reproducing Figure 1 of DAWNBench with TensorFlow

This notebook reproduces Figure 1 of the DAWNBench experiment with Tensorflow. DAWNBench is a project at Stanford University that introduces a benchmark and competition that focused on end-to-end training time for a model to reach a fixed accuracy level. The paper is available at https://dawn.cs.stanford.edu/benchmark/papers/nips17-dawnbench.pdf. Figure 1 (the graph that we reproduce here) shows the relationship between the accuracy level and the end-to-end training time for three different batch sizes.

15 1 Apr. 6, 2022, 8:00 PM

Authors

Digital Object Identifier (DOI)

10.5281/zenodo.4344391 (2020-09-09T01:41UTC)
Launch on Chameleon

Launching this artifact will open it within Chameleon’s shared Jupyter experiment environment, which is accessible to all Chameleon users with an active allocation.

Download Archive

Download an archive containing the files of this artifact.