dump tutorial slides, format later

Author: s-sajid-ali

docs/hpc/05_submitting_jobs/01_slurm_submitting_jobs.md

@@ -1,7 +1,7 @@
 # Submitting Jobs on Torch
 
 :::tip [Beginner tutorial available]
-If you are new to using HPC resources and would like to learn about the principles of using the `SLURM` scheduler for submitting batch jobs, please refer to cthis section](../13_tutorial_intro_hpc/04_scheduler_fundamentals.mdx). This section focuses on the specifics of the Torch cluster and assumes familiarity with the tutorial.
+If you are new to using HPC resources and would like to learn about the principles of using the `SLURM` scheduler for submitting batch jobs, please refer to [this section](../13_tutorial_intro_hpc/04_scheduler_fundamentals.mdx). This section focuses on the specifics of the Torch cluster and assumes familiarity with the tutorial.
 :::
 
 
@@ -11,38 +11,38 @@ Instead of running interactive jobs on Login nodes, users can run interactive jo
 
 
 ## Partition Management
-Partitions control stakeholder resource access.
-No physical nodes are tied to partitions — instead, equivalent compute resources are allocated via partition QoS.
-Jobs within the same partition cannot exceed their assigned resources (QOSGrpGRES).
-User GPU Quotas
-Each user has a total GPU quota of 24 GPUs for jobs with wall time < 48 hours (QOSMaxGRESPerUser).
+- Partitions control stakeholder resource access.
+- No physical nodes are tied to partitions — instead, equivalent compute resources are allocated via partition QoS.
+- Jobs within the same partition cannot exceed their assigned resources (QOSGrpGRES).
+- User GPU Quotas: Each user has a total GPU quota of 24 GPUs for jobs with wall time < 48 hours (QOSMaxGRESPerUser).
 ## Job Submission
-Do not specify partitions manually.
-Only request the compute resources (e.g., GPUs, CPUs, memory).
-Scheduler will automatically dispatch jobs to all accessible GPU partitions that match resource requests.
+- Do not specify partitions manually.
+- Only request the compute resources (e.g., GPUs, CPUs, memory).
+- Scheduler will automatically dispatch jobs to all accessible GPU partitions that match resource requests.
 
 :::warning [Low GPU Utilization Policy]
 Jobs with low GPU utilization will be automatically cancelled.
 The exact threshold is TBD, but enforcement will be very aggressive.
 :::
 
-New Slurm configuration introduces preemption partitions enabling:
-Non-stakeholders to temporarily use stakeholder resources
-One stakeholder group to temporarily use another group’s resources
-Stakeholders retain normal access to their own resources.
-If non-stakeholders (or other stakeholders) are using them, their jobs may be preempted (cancelled) once stakeholders submit new jobs.
-Public users are allowed to use stakeholder resources only with preemption partitions.
+## New Slurm configuration introduces preemption partitions enabling:
+- Non-stakeholders to temporarily use stakeholder resources
+- One stakeholder group to temporarily use another group’s resources
+- Stakeholders retain normal access to their own resources.
+- If non-stakeholders (or other stakeholders) are using them, their jobs may be preempted (cancelled) once stakeholders submit new jobs.
+- Public users are allowed to use stakeholder resources only with preemption partitions.
 
 :::info [Pre-Emption Policy]
 Jobs become eligible for pre-emption after 1 hour of runtime.
 Jobs will not be cancelled within the first hour.
+:::
 
-How to Enable Pre-Emption
-To allow jobs in both normal and pre-emption partitions:
+## How to Enable Pre-Emption
+- To allow jobs in both normal and pre-emption partitions:
 #SBATCH --comment="preemption=yes;requeue=true"
 Jobs in stakeholder partitions will not be cancelled, but those in pre-emption partitions may be.
 Cancelled jobs will be requeued automatically with requeue=true
-To use only pre-emption partitions:
+- To use only pre-emption partitions:
 #SBATCH --comment="preemption=yes;preemption_partitions_only=yes;requeue=true"
 Jobs with preemption partitions only may be allowed to use more resources