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Full-Text Articles in Physical Sciences and Mathematics
Resilience For Asynchronous Iterative Methods For Sparse Linear Systems, Evan Coleman
Resilience For Asynchronous Iterative Methods For Sparse Linear Systems, Evan Coleman
Computational Modeling & Simulation Engineering Theses & Dissertations
Large scale simulations are used in a variety of application areas in science and engineering to help forward the progress of innovation. Many spend the vast majority of their computational time attempting to solve large systems of linear equations; typically arising from discretizations of partial differential equations that are used to mathematically model various phenomena. The algorithms used to solve these problems are typically iterative in nature, and making efficient use of computational time on High Performance Computing (HPC) clusters involves constantly improving these iterative algorithms. Future HPC platforms are expected to encounter three main problem areas: scalability of code, …
Enhancing Portability In High Performance Computing: Designing Fast Scientific Code With Longevity, Jason Orender
Enhancing Portability In High Performance Computing: Designing Fast Scientific Code With Longevity, Jason Orender
Computer Science Theses & Dissertations
Portability, an oftentimes sought-after goal in scientific applications, confers a number of possible advantages onto computer code. Portable code will often have greater longevity, enjoy a broader ecosystem, appeal to a wider variety of application developers, and by definition will run on more systems than its pigeonholed counterpart. These advantages come at a cost, however, and a rational approach to balancing costs and benefits requires a systemic evaluation. While the benefits for each application are likely situation-dependent, the costs in terms of resources, including but not limited to time, money, computational power, and memory requirements, are quantifiable. This document will …