nf-core/configs: crukmi
Cancer Research UK Manchester Institute HPC cluster profile provided by nf-core/configs
Cancer Research UK Manchester Institute Configuration
All nf-core pipelines have been successfully configured for the use on the HPC (griffin) at Cancer Research UK Manchester Institute.
To use, run the pipeline with -profile crukmi. This will download and launch the crukmi.config which has been pre-configured with a setup suitable for the Griffin HPC. Using this profile, Apptainer/Singularity images will be downloaded to run on the cluster and stored in a centralised location.
Before running the pipeline you will need to load Nextflow using the environment module system, for example via:
## Load Nextflow environment modules
module purge
module load apps/nextflowThe pipeline should always be executed inside a workspace on the /scratch/ system. All of the intermediate files required to run the pipeline will be stored in the work/ directory. It is recommended to delete this directory after the pipeline has finished successfully because it can get quite large.
Config file
//Profile config names for nf-core/configs
params {
config_profile_description = 'Cancer Research UK Manchester Institute HPC cluster profile provided by nf-core/configs'
config_profile_contact = 'Stephen Kitcatt, Simon Pearce (@skitcattCRUKMI, @sppearce)'
config_profile_url = 'http://scicom.picr.man.ac.uk/projects/user-support/wiki'
}
singularity {
cacheDir = '/lmod/nextflow_software'
enabled = true
autoMounts = true
}
process {
resourceLimits = [
memory: 4000.GB,
cpus: 96,
time: 72.h
]
beforeScript = 'module load apps/apptainer'
executor = 'slurm'
queue = { task.memory <= 240.GB ? 'compute' : 'hmem' }
errorStrategy = { task.exitStatus in [143, 137, 104, 134, 139, 140] ? 'retry' : 'finish' }
maxErrors = '-1'
maxRetries = 3
withLabel: process_single {
cpus = { 1 * task.attempt }
memory = { 5.GB * task.attempt }
}
withLabel: process_low {
cpus = { 1 * task.attempt }
memory = { 5.GB * task.attempt }
}
withLabel: process_medium {
cpus = { 4 * task.attempt }
memory = { 20.GB * task.attempt }
}
withLabel: process_high {
cpus = { 48 * task.attempt }
memory = { 240.GB * task.attempt }
}
}
executor {
name = 'slurm'
queueSize = 1000
pollInterval = '10 sec'
}
params {
max_memory = 4000.GB
max_cpus = 96
max_time = 72.h
}
executor
contact
