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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Bibliografiset tiedot

Päätekijä:	Adedeji Daniel GBADEBO
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Association of Social and Educational Innovation 2025-11-01
Sarja:	International Journal of Social and Educational Innovation
Aiheet:	Monte Carlo Approaches Exascale Architectures Neumann-Ulam approach Stochastic solvers Direct iterative solvers
Linkit:	https://www.journals.aseiacademic.org/index.php/ijsei/article/view/556
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