Course: Distributed Scientific Computing Class
Abstract
The aim of the research project is to develop new programming models, evaluate existing methods for data-intensive applications as well as test/extend SAGA to cloud environments.
Intellectual Merit
This research will lead to novel programming models, applications and programming systems.
Broader Impact
I am co-teaching a class on Scientific Computing with a focus on Distributed Scientific Computing
Use of FutureGrid
- Distributed Application and Computing
- Programming Models and Data-Intensive Computing
- Teaching (Class 7700) https://wiki.cct.lsu.edu/sci-comp/Main_Page
Scale Of Use
multi-site simulations are required; many VMs for a class
Publications
- [fg-2441] Mitchell, J. E., G. Fox, R. Figueiredo, B. A. O'Leary, L. Hayden, S. Jha, M. Canonico, and J. Qiu, "FutureGrid education: Using case studies to develop a curriculum for communicating parallel and distributed computing concepts", 07/2012
- [Loffler:2011:UTT:2016741.2016800] Löffler, F., G. Allen, W. Benger, A. Hutanu, S. Jha, and E. Schnetter, "Using the TeraGrid to teach scientific computing", ACM,
- [Allen20111927] Allen, G., W. Benger, A. Hutanu, S. Jha, F. Löffler, and E. Schnetter, "A practical and comprehensive graduate course preparing students for research involving scientific computing",
Results
FutureGrid supported a new class focusing on a practical and comprehensive graduate course preparing students for research involving scientific computing. Module E (Distributed Scientific Computing) taught by Shantenu Jha used FutureGrid in hands-on assignments on:
FG-14
Shantenu Jha
Louisiana State University
Closed
Keywords
Timeline
3 years 41 weeks ago
1 year 13 weeks ago