Computer scientists at LANL have become intimately involved in studying the software development challenges posed by the new Roadrunner cell hybrid architecture, as well as possible approaches to addressing these. One of their findings is that the core structure of existing applications has to be revisited and understood before they can be effectively transitioned to a new architecture. Understanding this structure requires analysis tools to assess time, IO, memory usage, and other operational characteristics of the application so that its data, functions and memory patterns can be mapped to appropriate segments of the new processor architecture.
The purpose of this project is to study the OpenSpeedShop tool framework and identify a set of constraints it imposes on tool plugins, drawing on experience from OpenSpeedShop developers at LANL. The goal is to understand the rationale behind these constraints in terms of framework quality attributes like performance and extensibility, and to explore potential design alternatives and their tradeoffs with respect to those quality attributes.
Ciera Jaspan
CMU Student
Jonathan Aldrich
CMU Instructor
Dave Montoya
Mentor
Steve Painter
Mentor
Scott Matthews
Mentor
Large scale storage systems often store massive data sets that are highly dimensioned and massive numbers of files in directory structures. This project explores solutions to dealing with indexing and managing these data sets.
Milo Polte
CMU Student
Garth Gibson
CMU Instructor
Gary Grider
Mentor
James Nunez
Mentor
John Bent
Mentor
Garth Gibson
CMU Instructor
Greg Ganger
CMU Instructor
David Andersen
CMU Instructor
HB Chen
Mentor
Andrew Shewmaker
Mentor
Parks Fields
Mentor
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