Containerisation demonstrates its efficiency in application deployment in Cloud Computing. Containers can encapsulate complex programs with their dependencies in isolated environments making applications more portable, hence are being adopted in High Performance Computing (HPC) clusters. Singularity, initially designed for HPC systems, has become their de facto standard container runtime. Nevertheless, conventional HPC workload managers lack micro-service support and deeply-integrated container management, as opposed to container orchestrators. We introduce a Torque-Operator which serves as a bridge between HPC workload manager (TORQUE) and container orchestrator (Kubernetes). We propose a hybrid architecture that integrates HPC and Cloud clusters seamlessly with little interference to HPC systems where container orchestration is performed on two levels.

中文翻译：

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通过Kubernetes在HPC系统上进行容器编排

容器化展示了其在云计算中应用程序部署的效率。容器可以在独立的环境中封装具有依赖关系的复杂程序，从而使应用程序更易于移植，因此被高性能计算（HPC）集群采用。最初为HPC系统设计的奇点已成为其事实上的标准容器运行时。但是，与容器协调器相反，传统的HPC工作负载管理器缺少微服务支持和深度集成的容器管理。我们介绍了一个扭矩运算符，它充当HPC工作负载管理器（TORQUE）和容器编排器（Kubernetes）之间的桥梁。