![]() ![]() In this blog post we will use the full directive names to help you remember what they mean. ![]() #SBATCH -J alignment is the same as the prior directive since -J and -job-name are interchangeable. Some #SBATCH directives also have a shorthand notation e.g. These directives are indicated by lines starting with #SBATCH.įor example, the directive #SBATCH -job-name=alignment will tell Slurm that you have named this job "alignment", which can help make it easier to monitor your job and its outputs. across how many compute nodes, with how many vCPUs, for how long etc) is via Slurm directives that are included at the top of your job script. The way that Slurm determines how to allocate your jobs to the cluster (i.e. This process of scaling the size of your cluster up and down by adding and removing compute nodes as required is referred to as "Auto Scaling". For example, when current compute nodes are busy with other jobs but there are more jobs waiting for resources in the queue, ParallelCluster will assess how many compute nodes are required to run those jobs and add additional compute nodes to the cluster (up to the maximum number specified), and will then remove compute nodes once all running jobs are complete and there are no remaining jobs in the queue. In RONIN, this is achieved via AWS ParallelCluster and its integration with Slurm - ParallelCluster monitors the Slurm queues to determine when to request more compute nodes, or release compute nodes that are no longer needed. This not only enables you to power through your jobs more quickly, but also provides a great cost saving benefit where you only pay for compute nodes when they are actively running jobs. One of the biggest advantages of running a cluster in the cloud is the ability to easily scale up or scale down the size of your cluster as needed. which jobs are in the queue, which jobs are running, which jobs failed, which jobs completed successfully etc). Monitoring and reporting the status of jobs (i.e.if you submit a job that asks for 1 task with 4 vCPUs, Slurm will add the job to the queue, wait for a compute node with 4 vCPUs to become available, and then send the job to run on that compute node). Queuing and allocating jobs to run on compute nodes based on the resources available and the resources specified in the job script (i.e.how many compute nodes are available, what size are those compute nodes and what jobs are currently running on them). Understanding what resources are available on the cluster (i.e.The key tasks a job scheduler like Slurm is responsible for are: ![]() If you want to learn how to create a Slurm auto scale cluster in RONIN, you can also check out this blog post to get started. ![]() In this blog post we teach you the basics of submitting Slurm scripts on your very own auto scaling cluster in RONIN.īefore we begin, there is quite a lot of terminology to wrap your head around when it comes to clusters, so we recommend reading this blog post first, which describes some of the main terms. However, it's important to understand that submitting jobs to your very own cluster in the cloud can be quite different to how you would traditionally submit jobs on a shared HPC cluster. There are a variety of different job schedulers available and you may already be familiar with one if you have previously used a shared on-premise high-performance computing (HPC) cluster. It helps you manage your cluster and all of the workloads (jobs) that are running on it. Slurm, is an open source cluster management and job scheduling system. ![]()
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