Improvements to SLEPc in Releases 3.14–3.18

IF 2.7 1区数学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

ACM Transactions on Mathematical Software Pub Date : 2023-06-07 DOI:10.1145/3603373

J. Román, F. Alvarruiz, C. Campos, Lisandro Dalcin, P. Jolivet, A. L. Daviña

引用次数: 0

Abstract

This short article describes the main new features added to SLEPc, the Scalable Library for Eigenvalue Problem Computations, in the past two and a half years, corresponding to five release versions. The main novelty is the extension of the SVD module with new problem types, such as the generalized SVD or the hyperbolic SVD. Additionally, many improvements have been incorporated in different parts of the library, including contour integral eigensolvers, preconditioning, and GPU support.

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版本3.14-3.18对SLEPc的改进

这篇短文描述了在过去两年半的时间里，SLEPc(特征值问题计算的可扩展库)增加的主要新特性，对应于五个发布版本。主要的新颖之处在于SVD模块扩展了新的问题类型，如广义SVD或双曲SVD。此外，许多改进已纳入库的不同部分，包括轮廓积分特征求解器，预处理和GPU支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Mathematical Software 工程技术-计算机：软件工程

CiteScore

5.00

自引率

3.70%

发文量

审稿时长

>12 weeks

期刊介绍： As a scientific journal, ACM Transactions on Mathematical Software (TOMS) documents the theoretical underpinnings of numeric, symbolic, algebraic, and geometric computing applications. It focuses on analysis and construction of algorithms and programs, and the interaction of programs and architecture. Algorithms documented in TOMS are available as the Collected Algorithms of the ACM at calgo.acm.org.