Accurate sampling with noisy forces from approximate computing
Rengaraj V, Lass M, Plessl C, Kühne TD (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 8
Article Number: 39
Journal Issue: 2
DOI: 10.3390/COMPUTATION8020039
Abstract
In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption entails the massive usage of low precision computing units. Here, based on the approximate computing paradigm, we present an algorithmic method to compensate for numerical inaccuracies due to low accuracy arithmetic operations rigorously, yet still obtaining exact expectation values using a properly modified Langevintype equation.
Involved external institutions
Germany (DE)How to cite
APA:
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T.D. (2020). Accurate sampling with noisy forces from approximate computing. Computation, 8(2). https://doi.org/10.3390/COMPUTATION8020039
MLA:
Rengaraj, Varadarajan, et al. "Accurate sampling with noisy forces from approximate computing." Computation 8.2 (2020).
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