Engineering topics
Tuminaro, Raymond S.
Publications and source records attributed to Tuminaro, Raymond S..
SpaND: An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations.
Abstract not provided.
MueLu User's Guide
This is the official user guide for MUELU multigrid library in Trilinos version 12.13 (Dev). This guide provides an overview of MUELU, its capabilities, and instructions for new users who want to start using MUELU with a minimum of effort. Detailed information is given on how to drive MUELU through its XML interface. Links to more advanced use cases are given. This guide gives information on how to achieve good parallel performance, as well as how to introduce new algorithms Finally, readers will find a comprehensive listing of available MUELU options. Any options not documented in this manual should be considered strictly experimental.
Non-invasive Semi-Structured Multigrid on Advanced Architectures.
Abstract not provided.
Non-invasive Semi-Structured Multigrid on Advanced Architectures.
Abstract not provided.
An Algebraic Sparsified Nested Dissection Algorithm using Low-Rank Approximations.
Abstract not provided.
Monolithic Multigrid for Multiphysics Applications Arising from Resistive MHD.
Abstract not provided.
Applying Algebraic Multigrid Methods to Dynamic Enriched Conformal Decomposition Finite Element Methods for Multi-material Transport.
Abstract not provided.
A Hierarchical Low-Rank Solver for Sparse Linear Systems and Its Variations.
Abstract not provided.
A non-invasive matrix-based multigrid scheme for partially structured grids.
Abstract not provided.
Leveraging Application Structure Within Next Generation Multigrid Solvers.
Abstract not provided.
Leveraging Problem Structure within Multilevel Solvers to Improve Robustness & Performance on Advanced Architectures.
Abstract not provided.
Performance of a parallel code for the Euler equations on hypercube computers
The performance of hypercubes were evaluated on a computational fluid dynamics problem and the parallel environment issues were considered that must be addressed, such as algorithm changes, implementation choices, programming effort, and programming environment. The evaluation focuses on a widely used fluid dynamics code, FLO52, which solves the two dimensional steady Euler equations describing flow around the airfoil. The code development experience is described, including interacting with the operating system, utilizing the message-passing communication system, and code modifications necessary to increase parallel efficiency. Results from two hypercube parallel computers (a 16-node iPSC/2, and a 512-node NCUBE/ten) are discussed and compared. In addition, a mathematical model of the execution time was developed as a function of several machine and algorithm parameters. This model accurately predicts the actual run times obtained and is used to explore the performance of the code in interesting but yet physically realizable regions of the parameter space. Based on this model, predictions about future hypercubes are made.