Program

Wednesday, September 13

7:30 – 8:30 Breakfast

  • 8:30 – 9:00 Introductions and How to Use this Meeting
  • 9:00 – 10:00 Chameleon Opening Keynote, Kate Keahey (slides, screencast)
  • 10:00 – 10:30 Break
  • 10:30 – 12:30 Chameleon User Presentations
    • Popper: A DevOps Approach to Carrying Out Experiments on Chameleon Cloud, Ivo Jimenez, UC Santa Cruz (slides)
    • Scalability Bugs: When 100-Node Testing is Not Enough, Riza O. Suminto, University of Chicago (slides)
    • How to Enable HPC System Demand Response: An Experimental Study, Kishwar Ahmed, Florida International University (slides)
    • PortHadoop-R: The Merging of HPC and Big Data, Kun Feng, IIT (slides)
    • Extending ExoGENI Slice-based L2 Network Transit Service to Chameleon, Yuanjun Yao, Duke University (slides)
    • Chameleon and Argo: Experiments in Exascale System Software, Swann Perarnau, ANL (slides)

12:30 – 1:30 Lunch


  • 1:30 – 2:30 Keynote: The Role of Cyberinfrastructure in Reproducible Science, Victoria Stodden (slides)
  • 2:30 – 3:00 Break
  • 3:00 – 5:00 Chameleon User Presentations
    • Unsupervised Deep Learning with Stacked Autoencoders on Chameleon, Pablo Rivas, Marist College (slides)
    • Accelerating Machine Learning, Arun Das, UTSA (slides)
    • IRIS: I/O Redirection via Integrated Storage, Anthony Kougkas, IIT (slides)
    • SciDAS on Chameleon: Integrating Data, Networks, and the Cloud, Nicholas Mills, Clemson University (slides)
    • Understanding Performance, Power, and Thermal Characteristics of OpenCL FPGA platforms for HPC, Yingyi Luo, Northwestern University (slides)
    • Automated Sharded MongoDB Deployment and Benchmarking for Big Data Analysis, Mark McCombe, Indiana University (slides)

Thursday, September 14

Note: Tutorial sessions are run in parallel.

7:30 – 8:30 Breakfast

Educational Session Tutorials

Chameleon Tutorials