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: CoRR (2020)
Keyphrases
- single pass
- optimization algorithm
- detection algorithm
- learning algorithm
- theoretical analysis
- dynamic programming
- significant improvement
- preprocessing
- computational cost
- hardware implementation
- search space
- np hard
- experimental evaluation
- computational complexity
- objective function
- expectation maximization
- computationally efficient
- path planning
- matching algorithm
- monte carlo
- simulation study
- times faster
- segmentation algorithm
- particle swarm optimization
- linear programming
- cost function
- k means
- recognition algorithm
- improved algorithm
- convex hull
- molecular dynamics
- classification algorithm
- mathematical model
- input data
- worst case
- association rules
- similarity measure
- case study