📄️ Introduction
Users typically use HPCBOX Cluster App to interact with the HPCBOX cluster. ClusterApp is universal across cloud platforms at this time and this means, the documentation and included screenshots are applicable for both Microsoft Azure and Google Cloud. The screenshots used in this documentation are taken from both cloud providers.
📄️ Creating HPC Workflows
The workflow editor is where workflow pipelines are created and executed on the cluster.
📄️ Monitoring
HPCBOX provides both Job level and cluster level monitoring information.
📄️ Example Workflow
The following example workflow shows how multiple applications can be chained together to implement an HPC pipeline using HPCBOX. This example describes using ANSYS Fluent and ANSYS CFDPost.
📄️ Flow Control
The workflow editor supports flow control nodes that enable parallel execution, conditional branching, and looping within your HPC pipelines. Flow control nodes are available in the FLOW CONTROL section of the application sidebar and can be dragged onto the canvas just like application nodes.
📄️ Inter-Step Data Passing
HPCBOX supports passing data between workflow steps using step environment files. This allows a step to export variables that downstream steps can read, enabling dynamic configuration across your pipeline.
📄️ Workflow Properties
Every workflow has a set of properties that apply to all steps unless individually overridden. These properties control the default working directory, project identification, and inter-step data passing.
🗃️ Applications
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