UNRES-GPU用于基于物理的蛋白质系统在生物时间和尺寸尺度上的粗粒模拟
Krzysztof M Ocetkiewicz1, Cezary Czaplewski1,2, Henryk Krawczyk1,3
1Centre of Informatics Tricity Academic Supercomputer and Network (CI TASK), Gdańsk University of Technology, Fahrenheit Union of Universities in Gdańsk, Gdańsk 80-233, Poland.
Bioinformatics (Oxford, England)
|June 20, 2023
概括
联合国残留物 (UNRES) 包现在运行在GPU上,显著加速粗粒蛋白质模拟. 这种优化使研究人员能够高效地达到大蛋白质系统的毫秒时间尺度.
科学领域:
- 计算生物学是一种计算生物学.
- 生物物理学的生物物理.
- 分子动力学模拟的模拟.
背景情况:
- 粗粒度 (CG) 模拟对于研究大型生物分子系统至关重要.
- 联合国残留物 (UNRES) 包是一个优化用于蛋白质模拟的CG力场.
- 加快模拟对于探索更长的时间尺度和更大的系统至关重要.
研究的目的:
- 实施UNRES关于图形处理器单元 (GPU) 的包,以提高性能.
- 为了评估GPU实现实现的加速度与连续和并行CPU版本相比.
- 为了在毫秒时间尺度上实现大型蛋白质系统的模拟.
主要方法:
- 在GPU上实施UNRES包.
- 与顺序和OpenMP并行CPU实现进行性能基准测试.
- 对大型蛋白质系统 (>10,000个残留物) 的加速因子的分析.
主要成果:
- 与顺序代码相比,在NVIDIA A100 GPU上实现了超过100倍的加速度.
- 与64个CPU内核上的并行OpenMP代码相比,获得了8.5倍的速度提升.
- 证明了大型蛋白质系统达到毫秒时间尺度的能力.
结论:
- UNRES-GPU实现为大规模的蛋白质模拟提供了大量的计算加速.
- 这一进步显著扩大了粗粒度分子动力学的可访问时间尺度.
- 优化的UNRES-GPU包方便研究大型蛋白质系统中复杂的生物过程.
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