Max-Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany.
J Chem Theory Comput. 2008 Jan;4(1):116-22. doi: 10.1021/ct700200b.
By removing the fastest degrees of freedom, constraints allow for an increase of the time step in molecular simulations. In the last decade parallel simulations have become commonplace. However, up till now efficient parallel constraint algorithms have not been used with domain decomposition. In this paper the parallel linear constraint solver (P-LINCS) is presented, which allows the constraining of all bonds in macromolecules. Additionally the energy conservation properties of (P-)LINCS are assessed in view of improvements in the accuracy of uncoupled angle constraints and integration in single precision.
通过去除最快的自由度,约束允许在分子模拟中增加时间步长。在过去的十年中,并行模拟已经变得很普遍。然而,到目前为止,高效的并行约束算法还没有与域分解一起使用。本文提出了并行线性约束求解器(P-LINCS),它允许对大分子中的所有键进行约束。此外,还评估了(P-)LINCS 的能量守恒特性,以提高非耦合角度约束的精度和在单精度下的积分。