This means that all this software is going to be driven by the selection of the compute and ram selection for the master node. Such as matlab, monolix, firefox, and a graphical desktop interface can be accessed. The (guacamole) Desktop allows a remote desktop without needing any software on your computer beyond a web-browser. These correspond to the icons onĪs outlined in working in metworx rstudio server is a fantastic entrypoint for many programmatic or command line activities,Įven if you are not an R user specifically. On the head node, rstudio server and guacamole are the two most common ways to log in. Jobs will use one slot (thus one core), however this can be tuned if you have a job that needs multiple cores for parallel processing. A slot corresponds to a vCPU (virtual compute core). Well as the number of available slots each compute node has. When compute nodes scale up due to jobs being submitted to the grid, the number will be based on the number of jobs you submit as ThisĪllows you to get access to the compute resource you need, but only when you need them, thereby allowing for significant cost savings. This is discussed in more detail in working in metworx.
Metworx uses the Grid Engine (SGE) to manage jobs submitted The compute nodes will autoscale whenever you submit jobs to the grid. When you launch a workflow the only required long-term part of the infrastructure is the master node which will This diagramatically looks approximately like: the disk /data where data can be shared and will persist even when a workflow is shut down.Workflows generally have the latest version(s) of all software when releasedĪs well as, when possible, additional legacy versions for backwards compatability.Įach workflow can be broken out into three key elements: Of what to expect software-wise on the workflow based on its age. So a workflow labelled 20.12 was originally built in December of 2020, one called 20.06 was in June of 2020.
Metworx workflows are labelled via a naming convention called "calendar versioning" - that is. Though in many companies, such clusters are shared by many people, each metworx user gets their own "private" instance. Fundamentally, each workflow you launch offers the capabilities of an entire
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