FG-14
Distributed Scientific Computing Class
FutureGrid education: Using case studies to develop a curriculum for communicating parallel and distributed computing concepts
Using the TeraGrid to teach scientific computing
[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",
Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery, New York, NY, USA, ACM, pp. 55:1–55:7, 2011.
A practical and comprehensive graduate course preparing students for research involving scientific computing
[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",
Procedia Computer Science, vol. 4, pp. 1927 - 1936, 2011.
Course: Distributed Scientific Computing Class
Project Details
- Project Lead
- Shantenu Jha
- Project Manager
- Shantenu Jha
- Institution
- Louisiana State University, Center for Computation & Technology
- Discipline
- Computer Science (401)
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 Impacts
I am co-teaching a class on Scientific Computing with a focus on Distributed Scientific Computing
Scale of Use
multi-site simulations are required; many VMs for a class
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: