Partial Differential Equation Acceleration by Exploiting Value Similarity

Partial Differential Equations (PDEs) are integral in modeling various scientific and engineering phenomena. One of the most common numerical solutions for these equations is the Finite Difference Method (FDM), which reformulates derivatives into stencil computation patterns. FDM's reliance on various discretized mesh points and high-precision numerical iterations necessitates substantial memory storage and floating-point computations.

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Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3676735
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.36
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article

Partial Differential Equation Acceleration by Exploiting Value Similarity

Kaisheng Ma, Z B Li
1 citations
Matrix Theory and Algorithms
0.36
article

Partial Differential Equation Acceleration by Exploiting Value Similarity

Kaisheng Ma, Z B Li
article en
1 citations

Abstract

Partial Differential Equations (PDEs) are integral in modeling various scientific and engineering phenomena. One of the most common numerical solutions for these equations is the Finite Difference Method (FDM), which reformulates derivatives into stencil computation patterns. FDM's reliance on various discretized mesh points and high-precision numerical iterations necessitates substantial memory storage and floating-point computations.

Xi'an Jiaotong University (CN), Tsinghua University (CN)
Openalex Percentile: Top 32%
Matrix Theory and Algorithms
0.36
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