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The landscape of software for tensor computations
arXiv - CS - Mathematical Software Pub Date : 2021-03-25 , DOI: arxiv-2103.13756
Christos PsarrasRWTH Aachen University, Lars KarlssonUmeå University, Paolo BientinesiUmeå University

Tensors (also commonly seen as multi-linear operators or as multi-dimensional arrays) are ubiquitous in scientific computing and in data science, and so are the software efforts for tensor operations. Particularly in recent years, we have observed an explosion in libraries, compilers, packages, and toolboxes; unfortunately these efforts are very much scattered among the different scientific domains, and inevitably suffer from replication, suboptimal implementations, and in many cases, limited visibility. As a first step towards countering these inefficiencies, here we survey and loosely classify software packages related to tensor computations. Our aim is to assemble a comprehensive and up-to-date snapshot of the tensor software landscape, with the intention of helping both users and developers. Aware of the difficulties inherent in any multi-discipline survey, we very much welcome the reader's help in amending and expanding our software list, which currently features 72 projects.

中文翻译:

张量计算的软件格局

张量(也通常被视为多线性运算符或多维数组)在科学计算和数据科学中无处不在,而用于张量操作的软件也是如此。特别是近年来,我们发现库,编译器,程序包和工具箱激增。不幸的是,这些努力非常分散在不同的科学领域之间,并且不可避免地遭受了复制,次优实施以及在许多情况下有限的可见性的困扰。作为解决这些低效率问题的第一步,我们在这里调查和粗略分类与张量计算有关的软件包。我们的目标是为张量软件领域提供一个全面的最新快照,以期为用户和开发人员提供帮助。
更新日期:2021-03-26
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