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| 001 | 912024 | ||
| 005 | 20230310131333.0 | ||
| 024 | 7 | _ | |a 2128/32842 |2 Handle |
| 037 | _ | _ | |a FZJ-2022-05254 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Baumann, Thomas |0 P:(DE-Juel1)190575 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a TUHH Institutsseminar |c Hamburg |w Germany |
| 245 | _ | _ | |a Resilience in (Time-Parallel) Spectral Deferred Corrections |f 2022-05-09 - |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1669699328_21286 |2 PUB:(DE-HGF) |x Invited |
| 336 | 7 | _ | |a Other |2 DINI |
| 520 | _ | _ | |a Advancement in computational speed is nowadays gained by using more processing units rather than faster ones. Faults in the processing units caused by numerous sources including radiation and aging have been neglected in the past. However, the increasing size of HPC machines makes them more susceptible and it is important to develop a resilience strategy to avoid losing millions of CPU hours. Parallel-in-time methods target the very largest of computers and are hence required to come with algorithm-based fault tolerance. We look here at spectral deferred corrections (SDC), which is a time marching scheme that is at the heart of parallel-in-time methods such as PFASST. Due to its iterative nature, there is ample opportunity to plug in computationally inexpensive fault tolerance schemes, many of which are also easy to implement. We experimentally examine the capability of various strategies to recover from single bit flips in time serial SDC, which will later be applied to parallel-in-time methods. |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |x 0 |f POF IV |
| 536 | _ | _ | |a DFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162) |0 G:(GEPRIS)450829162 |c 450829162 |x 1 |
| 536 | _ | _ | |a TIME-X - TIME parallelisation: for eXascale computing and beyond (955701) |0 G:(EU-Grant)955701 |c 955701 |x 2 |f H2020-JTI-EuroHPC-2019-1 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/912024/files/resilientSDC_longVersion.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:912024 |p openaire |p open_access |p VDB |p driver |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)190575 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a talk |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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