Towards a Scalable In Situ Fast Fourier Transform

Autor:	Kulkarni, Sudhanshu, Loring, Burlen, Bethel, E. Wes
Rok vydání:	2024
Předmět:	Computer Science - Distributed Parallel and Cluster Computing
Druh dokumentu:	Working Paper
Popis:	The Fast Fourier Transform (FFT) is a numerical operation that transforms a function into a form comprised of its constituent frequencies and is an integral part of scientific computation and data analysis. The objective of our work is to enable use of the FFT as part of a scientific in situ processing chain to facilitate the analysis of data in the spectral regime. We describe the implementation of an FFT endpoint for the transformation of multi-dimensional data within the SENSEI infrastructure. Our results show its use on a sample problem in the context of a multi-stage in situ processing workflow. Comment: 5 pages, 2 figures. Submitted to ISAV workshop in SC23 conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.01843 Zobrazit plný text záznamu View this record from Arxiv