Multicore parallel computing with OpenSim Moco

In this project, we investigated the computational speed‐up obtained via multicore parallel computing relative to solving problems serially (i.e., using a single core) in optimal control simulations of human movement in OpenSim Moco. Simulations were solved using up to 18 cores with a variety of temporal mesh interval densities and using two different initial guess strategies. Considerable speed‐up can be achieved for some optimal control simulation problems in OpenSim Moco by leveraging the multicore processors often available in modern computers. This work is described in the paper "Computational performance of musculoskeletal simulation in OpenSim Moco using parallel computing" which is available on the Publications page. Models and complete working examples are provided on the Downloads page. This project was supported by a Rackham Graduate Student Research Grant. <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=2681#pack_2406">Moco Parallel Computing </a> : ZIP file containing the files that accompany the article cited below. </li> </ul>

在本项目中，我们研究了在OpenSim Moco中对人类运动进行最优控制模拟时，通过多核并行计算相对于串行计算（即使用单个核心）所获得的计算速度提升。模拟采用了最多18个核心，并使用了多种时间网格间隔密度以及两种不同的初始猜测策略。通过利用现代计算机中通常可用的多核处理器，可以在OpenSim Moco的一些最优控制模拟问题上实现显著的速度提升。这项工作在论文《利用并行计算在OpenSim Moco中进行的肌肉骨骼模拟的计算性能》中有详细描述，该论文可在出版物页面找到。模型和完整的示例代码可在下载页面获取。该项目得到了Rackham研究生研究奖学金的支持。本项目中包含以下软件/数据包：
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<li><a href="https://simtk.org/frs?group_id=2681#pack_2406">Moco Parallel Computing</a>：包含上述引用文章相关文件的ZIP文件。</li>
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