Abstract. The implementation of a variant of the Successive Overrelaxation (SOR) method for the numerical solution of elliptic partial differential equations is ...
A fully vectorizable SOR variant · W. Gentzsch · Published in Parallel Computing 1 June 1987 · Computer Science, Mathematics.
This paper considers the incomplete Choleski conjugate gradient method for symmetric positive definite linear systems. The goal is to obtain implementations of ...
Missing: SOR | Show results with:SOR
Oct 1, 2018 · "Vectorization" is a "parallel-processing"? Yes. In 1960's when people wondered what kind of parallel processing computer be designed for high ...
Missing: fully SOR variant.
More recently, Gueron & Krasnov (2016) provided a new approach for AVX2. The authors use a Quicksort variant with a vectorized partitioning function, and an ...
In mathematics, especially in linear algebra and matrix theory, the vectorization of a matrix is a linear transformation which converts the matrix into a ...
Mar 1, 2023 · I'm doing some practice to vectorize nested for loops. For example, I have the following code: a = linspace(40,45, ...
A number of methods of automatic generation of vector instructions have been developed for optimizing compilers. They allow vectorizing code without control ...
In this paper we return to the incomplete Choleski decomposition and describea useful variant that can be vectorized completely very easily. The variant ...
May 27, 2024 · In this post, we explore the vectorization and retrieval of EPUB data using Milvus and the Unstructured framework, offering developers ...