IEEE CloudCom 2016 Program for Track 4

The preliminary program for the Track 4: Big Data is depicted below:

Tuesday, December 13th, 2016 | 16:00 - 17:15pm

Session 3C: Big Data
Room: Diekirch/Echternach, Chair: Martin Theobald

1. Paper 205
   Re-designing CNTK Deep Learning Framework on Modern GPU Enabled Clusters
   by: Dip Sankar Banerjee, Khaled Hamidouche and Dhabaleswar Panda.
2. Paper 203
   Designing Virtualization-aware and Automatic Topology Detection Schemes for Accelerating Hadoop on SR-IOV-enabled Clouds
   by: Shashank Gugnani, Xiaoyi Lu and Dhabaleswar Panda.
3. Paper 56
   Exploring Controlled RDF Distribution
   by: Raqueline R. M. Penteado, Rebeca Schroeder and Carmem Hara.