*Result*: Parallel scientific computing with applications in material science and metallurgy
Title:
Parallel scientific computing with applications in material science and metallurgy
Authors:
Contributors:
Jimack, Peter
Publisher Information:
University of Leeds, 2022.
Publication Year:
2022
Collection:
University of Leeds
Document Type:
*Dissertation/ Thesis*
Electronic Thesis or Dissertation
Language:
English
Accession Number:
edsble.863383
Database:
British Library EThOS
*Further Information*
*A new software tool for the solution of complex time-dependent systems of partial differential is presented. High levels of parallelization are achieved in a framework that allows the developer to implement ad-hoc solvers for computationally challenging problems on a higher abstraction level without the need to understand in the low-level parallel implementation. Moreover, thanks to this new implementation, advanced numerical methods, such as mesh adaptivity, implicit time stepping, and multigrid methods can be employed with ease. Here the implementation of this new tool is presented and validated against simple elliptic and more complex phase-field models. Its parallel performance is then assessed.*