From af5d7f624a0ed076f2d419ece7f09835cd39b9ee Mon Sep 17 00:00:00 2001 From: Branislav Jansik <branislav.jansik@vsb.cz> Date: Fri, 2 May 2025 16:58:32 +0200 Subject: [PATCH] Edit capacity-computing.md --- docs.it4i/general/capacity-computing.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/docs.it4i/general/capacity-computing.md b/docs.it4i/general/capacity-computing.md index 43ad1936..b4f4759b 100644 --- a/docs.it4i/general/capacity-computing.md +++ b/docs.it4i/general/capacity-computing.md @@ -8,16 +8,18 @@ achieving the best runtime, throughput, and computer utilization. This is called However, executing a huge number of jobs via the Slurm queue may strain the system. This strain may result in slow response to commands, inefficient scheduling, and overall degradation of performance -and user experience for all users. We recommend using [**Job arrays**][1] or [**HyperQueue**][2] to execute many jobs. +and user experience for all users. We **recommend** using [**Job arrays**][1] or [**HyperQueue**][2] to execute many jobs. There are two primary scenarios: 1. Numeber of jobs < 1500, **and** the jobs are able to utilize one or more full nodes: - Use [**Job arrays**][2]. The Job array allows to sumbmit and control many jobs (tasks) in one packet. Several job arrays may be sumitted. + Use [**Job arrays**][2]. + The Job array allows to sumbmit and control many jobs (tasks) in one packet. Several job arrays may be sumitted. 2. Number of jobs >> 1500, **or** the jobs only utilze a few cores each: - Use [**HyperQueue**][1]. HyperQueue can help efficiently - load balance a very large number of (small) jobs amongst available computing nodes. HyperQueue may be also used if you have dependenices among the jobs. + Use [**HyperQueue**][1]. + HyperQueue can help efficiently load balance a very large number of (small) jobs amongst available computing nodes. + HyperQueue may be also used if you have dependenices among the jobs. [1]: job-arrays.md -- GitLab