most citedUsing analog computers in today's largest computational challenges

16 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.ET2023

Solving Partial Differential Equations with Monte Carlo / Random Walk on an Analog-Digital Hybrid Computer

Dirk Killat, Sven Köppel, Bernd Ulmann +1

Current digital computers are about to hit basic physical boundaries with respect to integration density, clock frequencies, and particularly energy consumption. This requires the…

cs.ET2023

Analog Computing for the 21st Century

Bernd Ulmann

Many people think of analog computing as a historic dead-end in computing. In fact, nothing could be further from the truth as analog computing - together with quantum computing -…

physics.ins-det2023

A neutron trigger detector for pulsed reactor neutron sources

Julian Auler, Dieter Ries, Bernd Ulmann +10

A variety of experiments investigating properties of neutrons can be performed at pulsed reactor neutron sources like the research reactor TRIGA Mainz. A typical problem faced by t…

physics.comp-ph2021★ 1 cited

Analog Computing for Molecular Dynamics

Sven Köppel, Alexandra Krause, Bernd Ulmann

Modern analog computers are ideally suited to solving large systems of ordinary differential equations at high speed with low energy consumtion and limited accuracy. In this articl…

cs.LG2021

Hybrid computer approach to train a machine learning system

Mirko Holzer, Bernd Ulmann

This book chapter describes a novel approach to training machine learning systems by means of a hybrid computer setup i.e. a digital computer tightly coupled with an analog compute…

physics.comp-ph2021★ 16 cited

Using analog computers in today's largest computational challenges

Sven Köppel, Bernd Ulmann, Lars Heimann +1

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…