Submitting Large Numbers of Jobs to the FASRC cluster

This document aims to help you become more efficient and to help you take advantage of shell and SLURM resources. This will improve your work and help others ...

Cluster Customs and Responsibilities - FASRC DOCS

The FASRC cluster is a large, shared resource performing massive computations on terabytes of data. These compute jobs are isolated as much as possible by the ...

Running Jobs - FASRC DOCS

Maximum Number of Jobs per User: 10,100. This is meant to prevent any one user from monopolizing the cluster. Maximum Array Size: 10,000. This ...

Cluster Usage – Page 3 - FASRC DOCS

Submitting Large Numbers of Jobs to the FASRC cluster · Date: June 23, 2014 · By: admin · Categories: Cluster Usage.

Frequently Asked Questions (FAQ) - FASRC DOCS

So if you have a single job, the cluster isn't really a gain. If you have lots of jobs you need to get done, or your job is too large to fit on ...

FASRC DOCS

Submitting Large Numbers of Jobs to the FASRC cluster · Using SSH ControlMaster for Single Sign-On · VSCode Remote Development via SSH and Tunnel. Show all ( 19 ) ...

Harvard T.H. Chan School of Public Health – FAS Research ...

... cluster access (e.g. – the ability to run jobs). Training is ... Also, if you are submitting a large number of tasks, please see our ...

Any suggestions for basic intro to submitting jobs to an HPC cluster?

I have been using an HPC cluster for a few years now and regularly need to submit jobs that process large amounts (often over 100) for large files like BAM ...

User Quick Start Guide - FASRC DOCS

A terminal window showing a user submitting an sbatch job, receiving a job number, ... jobs (see below), large memory jobs, etc. For more ...

[slurm-users] How to deal with user running stuff in frontend node?

However, we have this user that keeps abusing this system: when the job queue is long and there is a significant time wait, he sometimes runs ...

Slurm memory limits - FASRC DOCS

To set a larger limit, add to your job submission: #SBATCH --mem X. where X is the maximum amount of memory your job will use per node, in MB.

Cluster Computing - FAS Research Computing - Harvard University

Researchers can take advantage of the scale of the FASRC cluster by setting up workflows to split many different tasks into large batches.

[slurm-users] Determining Cluster Usage Rate - Google Groups

... large scale usage trends: https://github.com/fasrc/slurm-diamond ... the amount of jobs in the queue for which Slurm has not yet started blocking ...

Resource allocation for heavy jobs : r/SLURM - Reddit

It's a heavy job that requires lots of cpus to run (or else it will break). But a lot of small jobs are constantly getting allocated although ...

Parallel Job Workflows - YouTube

Covers running OpenMP and MPI jobs on Cannon cluster. https://docs.rc.fas.harvard.edu/kb/running-jobs/ does provide basic information about ...

High-Performance Compute Cluster - GitHub Pages

This partition is dedicated for interactive work and for testing code before submitting in batch and scaling. R e so u rce s. Partitions and associated ...

Job Efficiency and Optimization Best Practices - FASRC DOCS

Efficient use of the cluster means selecting the right amount of memory for whatever job you are running at that time. A quick way to spot if ...

fasrc/slurmmon: gather and plot data about Slurm scheduling and ...

Lots of other jobs show the issue of asking for many CPU cores but using only one. The job IDs are links to full details. Here is a stack of plots from our ...

Harvard FASRC Supercomputer Advances Research - Intel

FASRC processes more than 290 million jobs a year, with 15,000 jobs running on the cluster at any one time. ... In recent months, FASRC has onboarded a number ...

1.5. Accessing Kempner GPUs by All FASRC Users

The gpu_requeue partition has a preemption policy, meaning that jobs are preempted by SLURM when a high-priority job is submitted. Conversely, some Kempner ...