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BRIDGING THE PERFORMANCE GAP IN EXASCALE ARCHITECTURES: MONTE CARLO APPROACHES TO HIGH-DIMENSIONAL PROBLEMS

The paper uses Monte Carlo algorithms applications to solve large-scale and sparse linear systems that have a significant spectrum of application in the modern field of computation science. Monte Carlo techniques can be used to compute accurate approximations by building up the expected value as th...

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Autor principal: Adedeji Daniel GBADEBO
Formato: Artigo
Idioma:Inglês
Publicado em: Association of Social and Educational Innovation 2025-11-01
coleção:International Journal of Social and Educational Innovation
Assuntos:
Monte Carlo Approaches
Exascale Architectures
Neumann-Ulam approach
Stochastic solvers
Direct iterative solvers
Acesso em linha:https://www.journals.aseiacademic.org/index.php/ijsei/article/view/556
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