FG-14

Distributed Scientific Computing Class

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.

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:

  • Introduction to the practice of distributed computing;
  • Cloud computing and master-worker pattern;
  • and Distributed application case studies.
  • Two papers were written about this course: ICCS and TG'11

Syndicate content