Accurate Sampling with Noisy Forces from Approximate Computing

V. Rengaraj, M. Lass, C. Plessl, T. Kühne, ArXiv:1907.08497 (2019).

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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 rigorously compensate for numerical inaccuracies due to low-accuracy arithmetic operations, yet still obtaining exact expectation values using a properly modified Langevin-type equation.
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arXiv:1907.08497
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Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. arXiv:190708497. 2019.
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2019). Accurate Sampling with Noisy Forces from Approximate Computing. ArXiv:1907.08497.
@article{Rengaraj_Lass_Plessl_Kühne_2019, title={Accurate Sampling with Noisy Forces from Approximate Computing}, journal={arXiv:1907.08497}, author={Rengaraj, Varadarajan and Lass, Michael and Plessl, Christian and Kühne, Thomas}, year={2019} }
Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.” ArXiv:1907.08497, 2019.
V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,” arXiv:1907.08497. 2019.
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” ArXiv:1907.08497, 2019.

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