Accession Number:

AD1006016

Title:

Scalable High-order Methods for Multi-Scale Problems: Analysis, Algorithms and Application

Descriptive Note:

Technical Report,30 Sep 2012,29 Nov 2016

Corporate Author:

Brown University Providence United States

Personal Author(s):

Report Date:

2016-02-26

Pagination or Media Count:

12.0

Abstract:

It is anticipated that in future generations of massively parallel computer systems a significant portion of processors may suffer from hardware or software faults rendering large-scale computations useless. In this project, the PI and his students address this problem from the algorithmic side, proposing resilient frameworks that can recover and continue the solution with gappy fields from such faults irrespective of their fault origin. In addition to its robustness and resilience, the new framework generalizes previous multiscale and multifidelity approaches in a unified parallel computational framework.

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE