Resiliency in numerical algorithm design for extreme scale simulations.
Emmanuel AgulloMirco AltenberndHartwig AnztLeonardo Bautista-GomezTommaso BenacchioLuca BonaventuraHans-Joachim BungartzSanjay ChatterjeeFlorina M. CiorbaNathan DeBardelebenDaniel DrzisgaSebastian EiblChristian EngelmannWilfried N. GanstererLuc GiraudDominik GöddekeMarco HeisigFabienne JézéquelNils KohlXiaoye Sherry LiRomain LionMiriam MehlPaul MycekMichael ObersteinerEnrique S. Quintana-OrtíFrancesco RizziUlrich RüdeMartin SchulzFred FungRobert SpeckLinda StalsKeita TeranishiSamuel ThibaultDominik ThönnesAndreas WagnerBarbara I. WohlmuthPublished in: Int. J. High Perform. Comput. Appl. (2022)
Keyphrases
- learning algorithm
- dynamic programming
- times faster
- optimization algorithm
- improved algorithm
- optimal solution
- objective function
- segmentation algorithm
- recognition algorithm
- detection algorithm
- selection algorithm
- significant improvement
- cost function
- case study
- computationally efficient
- theoretical analysis
- design process
- high accuracy
- experimental evaluation
- np hard
- search space
- data sets
- estimation algorithm
- monte carlo
- linear programming
- state space
- k means
- artificial neural networks
- multiscale