千万亿次蒙特卡罗模拟的一种新范例：交换Wang-Landau抽样
A new paradigm for petascale Monte Carlo simulation: Replica exchange Wang-Landau sampling
摘要：
我们介绍了一个通用的，并行的王-朗道方法，自然是适合大规模并行，petaflop超级计算机上实现。该方法引入了一个复制交换框架，在该框架中，通过传统的Wang-Landau采样迭代确定能量空间中重叠子窗口的态密度。该方法的优点和普遍适用性的几个不同的系统，具有离散或连续的自由度，包括那些复杂的自由能景观和拓扑约束证明。
英文摘要：
We introduce a generic, parallel Wang-Landau method that is naturally suited to implementation on massively parallel, petaflop supercomputers. The approach introduces a replica-exchange framework in which densities of states for overlapping sub-windows in energy space are determined iteratively by traditional Wang-Landau sampling. The advantages and general applicability of the method are demonstrated for several distinct systems that possess discrete or continuous degrees of freedom, including those with complex free energy landscapes and topological constraints.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
