CSE - Distributed Systems for Scientific Data Analysis

In the Cooperative Computing Lab, we design software systems that enable scientific applications to scale up to thousands of nodes on high performance computing clusters.  We specialize in building large scale workflows that support large scale data analysis for the CMS physics experiment at the LHC.  A wide variety of projects are available for students to design, optimize, evaluate, and visualize large scale applications.  Our work is software intensive and students will gain experience with specification, coding, testing, and documentation in a large software repository.

 

Name of research group, project, or lab
Cooperative Computing Lab
Representative publication
Logistics Information:
Project categories
Computer Science & Engineering
Physics & Astronomy
Student ranks applicable
Junior
Senior
Student qualifications

Students should have some prior experience in working with the C or Python programming languages, and using the Unix command line.

Hours per week
3 credits / 12+ hours
Compensation
Research for Credit
Number of openings
4
Contact Information:
Mentor
dthain@nd.edu
Professor
Name of project director or principal investigator
Douglas Thain
Email address of project director or principal investigator
dthain@nd.edu
4 sp. | 1 appl.
Hours per week
3 credits / 12+ hours
Project categories
Physics & Astronomy (+1)
Computer Science & EngineeringPhysics & Astronomy