Skip to content
This repository was archived by the owner on Jan 29, 2026. It is now read-only.
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 11 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
[![build status](https://travis-ci.org/IBM/FfDL.svg?branch=master)](https://travis-ci.org/IBM/FfDL)

# FfDL Core Services
# Fabric for Deep Learning (FfDL)

This repository contains the core services of the *FfDL* (Fabric for Deep Learning) platform. FfDL is an operating system "fabric" for Deep Learning

Expand Down Expand Up @@ -38,6 +38,7 @@ FfDL is a collaboration platform for:
6. [Detailed Testing Instructions](#6-detailed-testing-instructions)
7. [Clean Up](#7-clean-up)
8. [Troubleshooting](#8-troubleshooting)
9. [References](#9-references))

## 1. Quick Start

Expand Down Expand Up @@ -302,3 +303,12 @@ helm delete $(helm list | grep ffdl | awk '{print $1}' | head -n 1)
make sure to follow the standard Go directory layout (see [Prerequisites section]{#Prerequisites}).

* To remove FfDL on your Cluster, simply run `make undeploy`

## 9. References

Based on IBM Research work in Deep Learning.

* B. Bhattacharjee et al., "IBM Deep Learning Service," in IBM Journal of Research and Development, vol. 61, no. 4, pp. 10:1-10:11, July-Sept. 1 2017. https://arxiv.org/abs/1709.05871
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Maybe we should add the full list of authors to this publication:

Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi, Parijat Dube, Ben Herta, Vatche Ishakian, K. R. Jayaram, Rania Khalaf, Avesh Krishna, Yu Bo Li, Vinod Muthusamy, Ruchir Puri, Yufei Ren, Florian Rosenberg, Seetharami R. Seelam, Yandong Wang, Jian Ming Zhang, Li Zhang


* Scott Boag, et al. Scalable Multi-Framework Multi-Tenant Lifecycle Management of Deep Learning Training Jobs, In Workshop on ML Systems at NIPS'17, 2017. http://learningsys.org/nips17/assets/papers/paper_29.pdf
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Maybe we should add the full list of authors to this publication:

Scott Boag, Parijat Dube, Benjamin Herta, Waldemar Hummer, Vatche Ishakian, K. R. Jayaram, Michael Kalantar, Vinod Muthusamy, Priya Nagpurkar, Florian Rosenberg

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I think its fine @whummer - folks who are interested in background will click on the link anyway - and both the papers have list of authors on top. Follow the normal convention