October 12-13, 2009
9:00am-5:00pm
Cornell University

Enrollment Closed. Class limit reached.

The Sun Constellation Cluster, Ranger, is a computational resource available to the National Science Foundation research community, providing users access to a compute cluster with a theoretical peak performance of 579 Teraflops. A description of Ranger can be found at the following URL:

http://www.tacc.utexas.edu/resources/hpcsystems/#ranger

Instructors will present topics covering the architecture and use of Ranger. This class will be of particular interest to computational scientists with large data computation or analysis. Members of the Cornell University Center for Advanced Computing (CAC) will be available during the entire training session to assist users in their code development and porting efforts.

The course will include lectures, labs, and discussions on:

• Data Formats, Transfer, Movement, and Storage
• Data Analysis with R, Python, and MATLAB
• Map-Reduce with Hadoop
• Visualization
• Optimization
• Computational Steering
• Scientific Workflows and Provenance

Engineering Library, Carpenter Hall (Blue Room)
Cornell University
Ithaca, NY

Cornell Maps - http://www.cornell.edu/maps/
Carpenter Hall - http://www.library.cornell.edu/node/163

Class attendees traveling to the training are responsible for arranging and paying for their own travel, daily expenses, and hotel accommodations.

Lodging information - http://www.visitithaca.com/lodging/
Getting to Ithaca - http://www.cornell.edu/visiting/ithaca/visiting.cfm

Day 1 9:00am-5:00pm
	Time	Day 1: October 12, 2009
General Topics	9:00	Welcome, Overview, and Hardware
	9:30	HPC Environment
	11:00	Data Transfer, Movement, and Storage
	12:00	Lunch
Data Analysis	1:00	Data and Database Formats
	2:00	Data Analysis with MATLAB
	3:00	Data Analysis with Python and R
	4:00	MapReduce with Hadoop
	5:00	Adjourn

Day 2 9:00am-5:00pm
	Time	Day 2: October 13, 2009
Visualization	9:00	Scientific Visualization
	10:00	ParaView
	11:00	VisIt
	12:00	Lunch
Code Improvement	1:00	Optimization
	2:00	Computational Steering
	3:00	Scientific Workflows and Provenance
	5:00	Adjourn