| Issue |
EPL
Volume 133, Number 6, March 2021
|
|
|---|---|---|
| Article Number | 60005 | |
| Number of page(s) | 7 | |
| Section | General | |
| DOI | https://doi.org/10.1209/0295-5075/133/60005 | |
| Published online | 13 May 2021 | |
How we are leading a 3-XORSAT challenge: From the energy landscape to the algorithm and its efficient implementation on GPUs(a)
1 Institute of Applied Computing, CNR - I-00185 Rome, Italy
2 NVIDIA Corporation - Santa Clara, CA 95050, USA
3 Dipartimento di Fisica, Sapienza Università di Roma - I-00185 Rome, Italy
4 INFN, Sezione di Roma 1 - I-00185 Rome, Italy
5 CNR-Nanotec, Rome unit - I-00185 Rome, Italy
6 Departamento de Física Teórica, Universidad Complutense - E-28040 Madrid, Spain
7 Instituto de Biocomputación y Física de Sistemas Complejos (BIFI) - E-50018 Zaragoza, Spain
Received: 31 December 2020
Accepted: 22 February 2021
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.
PACS: 02.70.-c – Computational techniques; simulations / 02.60.Pn – Numerical optimization / 64.60.My – Metastable phases
© 2021 EPLA
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