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How we are leading a 3-XORSAT challenge: From the energy landscape to the algorithm and its efficient implementation on GPUs

  • M. Bernaschi
  • , M. Bisson
  • , M. Fatica
  • , E. Marinari
  • , V. Martin-Mayor
  • , G. Parisi
  • , F. Ricci-Tersenghi
  • National Research Council of Italy
  • NVIDIA
  • University of Rome La Sapienza
  • National Institute for Nuclear Physics
  • Rome Unit
  • Complutense University
  • University of Zaragoza

科研成果: 期刊稿件文献综述同行评审

摘要

A recent 3-XORSAT challenge required to minimize a very complex and rough energy function, typical of glassy models with a random first-order transition and a golf-course-like energy landscape. We present the ideas beyond the quasi-greedy algorithm and its very efficient implementation on GPUs that are allowing us to rank first in such a competition. We suggest a better protocol to compare algorithmic performances and we also provide analytical predictions about the exponential growth of the times to find the solution in terms of free-energy barriers.

源语言英语
文章编号60005
期刊Europhysics Letters
133
6
DOI
出版状态已出版 - 2月 2021
已对外发布

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