From 049e08c9d3f988a498d4d2b3643cfd111e2b1ab2 Mon Sep 17 00:00:00 2001 From: Animesh Singh Date: Sun, 11 Feb 2018 18:26:40 -0800 Subject: [PATCH] Adding paper references - changing main title --- README.md | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 97c8ee2d..383aabb0 100644 --- a/README.md +++ b/README.md @@ -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 @@ -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 @@ -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 + +* 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 +