首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >IMPLEMENTATION OF THE ECEPP ALGORITHM, THE MONTE CARLO MINIMIZATION METHOD, AND THE ELECTROSTATICALLY DRIVEN MONTE CARLO METHOD ON THE KENDALL SQUARE RESEARCH KSR1 COMPUTER
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IMPLEMENTATION OF THE ECEPP ALGORITHM, THE MONTE CARLO MINIMIZATION METHOD, AND THE ELECTROSTATICALLY DRIVEN MONTE CARLO METHOD ON THE KENDALL SQUARE RESEARCH KSR1 COMPUTER

机译:ECEPP算法的实现,蒙特卡罗最小化方法,以及KENDALL Square Research KSR1计算机上的静电蒙特卡罗方法

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In this article the adaptation of the Empirical Conformational Energy Program for Peptides (ECEPP/3) and two conformational search methods [viz., the Monte Carlo minimization (MCM) method and the electrostatically driven Monte Carlo (EDMC) method] to the Kendall Square Research KSR1 computer is described. The MCM and EDMC methods were developed to surmount the multiple-minima problem in protein folding. Parallelization of these codes led to substantial speedups (expressed as the ratio between the mean time per energy evaluation in one processor and the mean time per energy evaluation in a set of processors) over the serial versions of these codes. A comparison of the performance of these algorithms on the KSR1 and on the IBM ES9000 computers is presented. (C) 1995 by John Wiley & Sons, Inc. [References: 23]
机译:在本文中,适应肽(ECEPP / 3)和两个构象搜索方法的经验构象能量计划[Ziz。,蒙特卡罗最小化(MCM)方法和静电蒙特卡罗(EDMC)方法]到Kendall Square 研究了研究KSR1计算机。 开发了MCM和EDMC方法以超越蛋白质折叠中的多重最小值问题。 这些代码的并行化导致大量的加速(表示为一个处理器中每个能量评估的平均时间与一组处理器的平均时间之间的比率)通过这些代码的串行版本。 提出了这些算法对KSR1和IBM ES9000计算机的性能的比较。 (c)1995由John Wiley&Sons,Inc。[参考文献:23]

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