From c9adec01feec1c11d4a260ccc1138dc496bf9973 Mon Sep 17 00:00:00 2001
From: gularmehman <96728733+gularmehman@users.noreply.github.com>
Date: Tue, 17 Sep 2024 10:46:50 +0300
Subject: [PATCH] Update organization_and_project_management.md
---
.../organization_and_project_management.md | 18 +++++++++---------
1 file changed, 9 insertions(+), 9 deletions(-)
diff --git a/docs/user_guides/organization_and_project_management.md b/docs/user_guides/organization_and_project_management.md
index 5be00154..7a7a8631 100644
--- a/docs/user_guides/organization_and_project_management.md
+++ b/docs/user_guides/organization_and_project_management.md
@@ -58,8 +58,8 @@ Request can be initiated by any user, however it must be approved:
Below is an example of requesting an allocation from LUMI supercomputer:
-1. Open your project dashboard and select "Resources" from the top menu. Click on "Add resources" on the right side. 
-2. This will open a service catalogue where you can select the correct offering that matches your plans. 
+1. Open your project dashboard and select "Resources" from the top menu. Click on "Add resources" on the right side.
+2. This will open a service catalogue where you can select the correct offering that matches your plans.
For LUMI, offerings correspond to access types of EuroHPC:
- Extreme Scale Access
- Regular Access
@@ -67,12 +67,12 @@ Below is an example of requesting an allocation from LUMI supercomputer:
- Development Access
- Fast Track Access for Academia
- Fast Track Access for Industry
-3. When you have found the correct offering, click "Deploy". 
-4. This will open the offering configuration page, where you can set the allocation quota limits (CPU, GPU and Storage), add resource name, set whether the project is AI-related, for testing, etc. 
-5. When all set, click "Create" on the right side. 
-6. A confirmation popup opens, click "Yes". 
+3. When you have found the correct offering, click "Deploy".
+4. This will open the offering configuration page, where you can set the allocation quota limits (CPU, GPU and Storage), add resource name, set whether the project is AI-related, for testing, etc.
+5. When all set, click "Create" on the right side.
+6. A confirmation popup opens, click "Yes".
7. After this, the Resource allocator will get a request for the resource and be able to [approve or reject](project_approval_shared.md) it.
-8. Now, resource dashboard opens, where you can see the approval status, resource usage and limits information. 
+8. Now, the resource dashboard opens, showing the approval status, resource usage, and limits information.