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Automatic differentiation of the TACO2D finite element code using ADIFOR

Description: The need for sensitivities in particular applications is becoming increasingly important in problems such as optimal design or control. In this study, the authors use ADIFOR to generate derivative code for TACO2D, a finite element heat transfer code. The study of TACO2D indicates that ADIFOR-generated derivatives yield accurate derivatives at a fraction of the time requirements of finite difference approximations, and space requirements proportional to the number of variables. The primary focus on TACO2D was for the design of chemical vapor deposition reactors.
Date: April 1, 1996
Creator: Carle, A. & Fagan, M.
Partner: UNT Libraries Government Documents Department

Frontiers of Performance Analysis on Leadership-Class Systems

Description: The number of cores in high-end systems for scientific computing are employing is increasing rapidly. As a result, there is an pressing need for tools that can measure, model, and diagnose performance problems in highly-parallel runs. We describe two tools that employ complementary approaches for analysis at scale and we illustrate their use on DOE leadership-class systems.
Date: June 15, 2009
Creator: Fowler, R J; Adhianto, L; de Supinski, B R; Fagan, M; Gamblin, T; Krentel, M et al.
Partner: UNT Libraries Government Documents Department