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  • 标题:Accurate Sampling with Noisy Forces from Approximate Computing
  • 本地全文:下载
  • 作者:Varadarajan Rengaraj ; Michael Lass ; Christian Plessl
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2020
  • 卷号:8
  • 期号:2
  • 页码:39-49
  • DOI:10.3390/computation8020039
  • 出版社:MDPI Publishing
  • 摘要: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 Langevin-type equation.
  • 关键词:approximate computing; CP2K; fluctuation-dissipation theorem; FPGA; i-PI; low precision arithmetic approximate computing ; CP2K ; fluctuation-dissipation theorem ; FPGA ; i-PI ; low precision arithmetic
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