KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

DP Technology provides scientific simulation platforms for research in biomedicine, energy, materials and other industries. Science simulation workflows are inherently complex and resource-intensive, and manual deployment is often prone to errors. After adopting Argo workflows to orchestrate science simulation, we get productivity 100% improvement. In this talk, we will introduce why chose Argo Workflow, how to orchestrate large-scale tasks of science simulation, how to make whole system scalability and reliability. Specially, we will share best practice about how manage super large workflow (thousands of tasks), how to do reasonable workflow retry, how to use memorization to reduce runtime and compute cost, how to interact with HPC systems. We also made contributions to Argo community to enhance functionalities and improve reliability. Additionally, we'll introduce DFlow, our open-source Python SDK designed for the seamless orchestration of scientific simulations with Argo Workflows.

DP Technology为生物医药、能源、材料等行业的研究提供科学模拟平台。科学模拟工作流程本质上复杂且资源密集，手动部署往往容易出错。采用Argo工作流程来编排科学模拟后，我们的生产力提高了100%。在本次演讲中，我们将介绍为什么选择Argo工作流程，如何编排大规模科学模拟任务，如何实现整个系统的可扩展性和可靠性。特别是，我们将分享如何管理超大型工作流程（数千个任务），如何合理重试工作流程，如何使用记忆化来减少运行时间和计算成本，如何与HPC系统交互。我们还为Argo社区做出了贡献，以增强功能性和提高可靠性。此外，我们还将介绍DFlow，我们的开源Python SDK，旨在与Argo工作流程无缝协同编排科学模拟。