@inproceedings{cc157bc39e3d4dad9592f6a05c66dafe,
title = "Resiliency in exascale systems and computations using chaotic-identity maps",
abstract = "For exascale computing systems, we propose (i) light-weight computational modules that utilize chaotic computations and customized identity maps to detect component failures, and (ii) statistical estimation methods that generate robustness estimates for the system and computations based on the module outputs. The diagnosis modules execute multiple Poincare and identity maps, which are customized to detect certain classes of failures in the compute nodes and interconnects. We propose statistical methods that generate robustness estimates for the system using the outputs of pipelined chains of diagnosis modules.",
keywords = "Exascale systems, chaotic maps, resiliency, statistical estimation",
author = "Rao, {Nageswara S.V.}",
year = "2013",
doi = "10.1007/978-3-642-36949-0_55",
language = "English",
isbn = "9783642369483",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "494--495",
booktitle = "Euro-Par 2012 - Parallel Processing Workshops",
note = "Parallel Processing Workshops, Euro-Par 2012: BDMC 2012, CGWS 2012, HeteroPar 2012, HiBB 2012, OMHI 2012, Paraphrase 2012, PROPER 2012, Resilience 2012, UCHPC 2012, VHPC 2012 ; Conference date: 27-08-2012 Through 31-08-2012",
}