Difference between revisions of "Applications/guppy"

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==Application Details==
 
==Application Details==
  
* Description: Local accelerated basecalling for Nanopore data.
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* Description: Local accelerated base calling for Nanopore data.
 
* Version: guppy 3.1.5 and 4.0.14
 
* Version: guppy 3.1.5 and 4.0.14
 
* Modules: guppy/cpu/3.1.5 (CPU), guppy/gpu/3.1.5 (GPU), guppy/cpu/4.0.14 (CPU), guppy/gpu/4.0.14 (GPU), guppy/gpu/4.2.2
 
* Modules: guppy/cpu/3.1.5 (CPU), guppy/gpu/3.1.5 (GPU), guppy/cpu/4.0.14 (CPU), guppy/gpu/4.0.14 (GPU), guppy/gpu/4.2.2
 
* Licence: Free, open-source
 
* Licence: Free, open-source
  
* '''Note''' : guppy version 3 will be removed from service soon
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* '''Note''': guppy version 3 will be removed from service soon
  
 
==Usage Examples==
 
==Usage Examples==
  
Using the GPU as accelerators will make the analysis considerably faster (on large data sets). For small runs the CPU version is recommended and probably faster by removing the GPU overhead.
+
Using the GPU as an accelerator will make the analysis considerably faster (on large data sets). For small runs, the CPU version is recommended and probably faster by removing the GPU overhead.
  
Important : guppy/gpu (GPU version) requires compute level of six or above, see examples below.
+
Important: guppy/gpu (GPU version) requires to compute level of six or above, see examples below.
  
 
===Batch example===
 
===Batch example===

Revision as of 13:35, 13 October 2022

Application Details

  • Description: Local accelerated base calling for Nanopore data.
  • Version: guppy 3.1.5 and 4.0.14
  • Modules: guppy/cpu/3.1.5 (CPU), guppy/gpu/3.1.5 (GPU), guppy/cpu/4.0.14 (CPU), guppy/gpu/4.0.14 (GPU), guppy/gpu/4.2.2
  • Licence: Free, open-source
  • Note: guppy version 3 will be removed from service soon

Usage Examples

Using the GPU as an accelerator will make the analysis considerably faster (on large data sets). For small runs, the CPU version is recommended and probably faster by removing the GPU overhead.

Important: guppy/gpu (GPU version) requires to compute level of six or above, see examples below.

Batch example

This uses 2 GPUs presently on GPU05 (compute level is high than 6) which is required by guppy's minimum requirement.

#!/bin/bash
#SBATCH -J guppy.job
#SBATCH --exclusive
#SBATCH -o gpu05.%j.out
#SBATCH -e gpu05.%j.err
#SBATCH -p gpu05
#SBATCH --gres=gpu:tesla:2
#SBATCH --exclusive

module purge
module load cuda/10.1.168
module load guppy/gpu/4.2.2

guppy_basecaller --input_path /home/user/folderIN --save_path /home/user/folderOUT --flowcell FLO-MIN106 --kit SQK-RPB004 --min_qscore 7 --qscore_filtering -x cuda:0 cuda:1

Compute capability

For applications that require this information:

  • K40m is 3.5
  • P100 is 6.0


Further Information

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