Bylaska Eric J, Panyala Ajay, Bauman Nicholas P, Peng Bo, Pathak Himadri, Mejia-Rodriguez Daniel, Govind Niranjan, Williams-Young David B, Aprà Edoardo, Bagusetty Abhishek, Mutlu Erdal, Jackson Koblar A, Baruah Tunna, Yamamoto Yoh, Pederson Mark R, Withanage Kushantha P K, Pedroza-Montero Jesús N, Bilbrey Jenna A, Choudhury Sutanay, Firoz Jesun, Herman Kristina M, Xantheas Sotiris S, Rigor Paul, Vila Fernando D, Rehr John J, Fung Mimi, Grofe Adam, Johnston Conrad, Baker Nathan, Kaneko Ken, Liu Hongbin, Kowalski Karol
Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, USA.
Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, Richland, Washington 99354, USA.
J Chem Phys. 2024 Oct 21;161(15). doi: 10.1063/5.0226437.
The transformative impact of modern computational paradigms and technologies, such as high-performance computing (HPC), quantum computing, and cloud computing, has opened up profound new opportunities for scientific simulations. Scalable computational chemistry is one beneficiary of this technological progress. The main focus of this paper is on the performance of various quantum chemical formulations, ranging from low-order methods to high-accuracy approaches, implemented in different computational chemistry packages and libraries, such as NWChem, NWChemEx, Scalable Predictive Methods for Excitations and Correlated Phenomena, ExaChem, and Fermi-Löwdin orbital self-interaction correction on Azure Quantum Elements, Microsoft's cloud services platform for scientific discovery. We pay particular attention to the intricate workflows for performing complex chemistry simulations, associated data curation, and mechanisms for accuracy assessment, which is demonstrated with the Arrows automated workflow for high throughput simulations. Finally, we provide a perspective on the role of cloud computing in supporting the mission of leadership computational facilities.
现代计算范式和技术,如高性能计算(HPC)、量子计算和云计算的变革性影响,为科学模拟带来了全新的重大机遇。可扩展计算化学是这一技术进步的受益者之一。本文的主要重点是在不同的计算化学软件包和库(如NWChem、NWChemEx、激发与相关现象的可扩展预测方法、ExaChem以及微软用于科学发现的云服务平台Azure Quantum Elements上的费米-洛丁轨道自相互作用校正)中实现的各种量子化学公式的性能,从低阶方法到高精度方法。我们特别关注执行复杂化学模拟的复杂工作流程、相关的数据管理以及准确性评估机制,这通过用于高通量模拟的Arrows自动化工作流程得以体现。最后,我们对云计算在支持领先计算设施使命方面的作用提供了一个观点。