2021/02/28 by Sven Köppel, Bernd Ulmann, Lars Heimann +1
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Analog computer #Analogue electronics #Computational science #Computer engineering #Computer science #Electrical engineering #Electronic circuit #Electronic engineering #Engineering #Hybrid computer #Management science #Neural Networks and Applications #Neural Networks and Reservoir Computing #Operating system #Problem statement #Quantum Computing Algorithms and Architecture #Statement (logic) #acm:39A14 #acm:65W35 #cs.ET #cs.NA #math.NA #msc:39A14 #msc:65W35 #physics.comp-ph
paper · pdf · doi:10.5194/ars-19-105-2021
published as Advances in Radio Science: Kleinheubacher Berichte 2020 · 12 pages, 2 figures, accepted paper towards a Special Issue of the open-access journal "Advances in Radio Science"
arxiv created 2021/06/30 · openalex publication_date 2021/12/17 · arxiv updated 2021/12/20 · openalex created_date 2021/12/31 · openalex updated_date 2026/08/05
Abstract. Analog computers can be revived as a feasible technology platform for low precision, energy efficient and fast computing. We justify this statement by measuring the performance of a modern analog computer and comparing it with that of traditional digital processors. General statements are made about the solution of ordinary and partial differential equations. Computational fluid dynamics are discussed as an example of large scale scientific computing applications. Several models are proposed which demonstrate the benefits of analog and digital-analog hybrid computing.