From b67fcfdfef8c307ebbaa40a661d74d29f4d9de11 Mon Sep 17 00:00:00 2001
From: easybuild <you@example.com>
Date: Mon, 19 Aug 2024 14:45:08 +0200
Subject: [PATCH] Mon, 19 Aug 2024 14:45:08 +0200

---
 karolina.csv | 3 +++
 karolina.md  | 2 ++
 2 files changed, 5 insertions(+)

diff --git a/karolina.csv b/karolina.csv
index c7331729..d23550d7 100644
--- a/karolina.csv
+++ b/karolina.csv
@@ -222,6 +222,8 @@ cryptography/41.0.5-GCCcore-13.2.0,1
 cst-studio/2019,1
 cst-studio/2021,1
 cst-studio/cst_2019,1
+Cube/4.8.2-GCCcore-13.2.0,1
+CubeGUI/4.8.2-GCCcore-13.2.0,1
 CubeLib/4.8.2-GCCcore-13.2.0,1
 CubeWriter/4.8.2-GCCcore-13.2.0,1
 CUDA/11.1.1-GCC-10.2.0,1
@@ -1302,6 +1304,7 @@ QMCPACK/3.14.0-foss-2021a-Python-3.9.5,1
 qrupdate/1.1.2-GCCcore-11.2.0,1
 Qt5/5.14.2-GCCcore-10.2.0,1
 Qt5/5.15.10-GCCcore-12.3.0,1
+Qt5/5.15.13-GCCcore-13.2.0,1
 Qt5/5.15.2-GCCcore-10.3.0,1
 Qt5/5.15.2-GCCcore-11.2.0,1
 Qt5/5.15.7-GCCcore-12.2.0,1
diff --git a/karolina.md b/karolina.md
index 26e5bc70..9a628989 100644
--- a/karolina.md
+++ b/karolina.md
@@ -316,6 +316,8 @@
 | ------ | ----------- |
 | [Advisor](https://software.intel.com/intel-advisor-xe) | Vectorization Optimization and Thread Prototyping - Vectorize & thread code or performance “dies” - Easy workflow + data + tips = faster code faster - Prioritize, Prototype & Predict performance gain |
 | [AMD-uProf](https://developer.amd.com/amd-uprof/) | AMD uProf is a performance analysis tool for applications running on Windows, Linux & FreeBSD operating systems. It allows developers to better understand the runtime performance of their application and to identify ways to improve its performance. |
+| [Cube](http://www.scalasca.org/software/cube-4.x/download.html) | Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. |
+| [CubeGUI](https://www.scalasca.org/software/cube-4.x/download.html) | Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube graphical report explorer. |
 | [CubeLib](https://www.scalasca.org/software/cube-4.x/download.html) | Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools. |
 | [CubeWriter](https://www.scalasca.org/software/cube-4.x/download.html) | Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component. |
 | [Extrae](https://www.bsc.es/computer-sciences/performance-tools) | Extrae is the core instrumentation package developed by the Performance Tools group at BSC. Extrae is capable of instrumenting applications based on MPI, OpenMP, pthreads, CUDA1, OpenCL1, and StarSs1 using different instrumentation approaches. The information gathered by Extrae typically includes timestamped events of runtime calls, performance counters and source code references. Besides, Extrae provides its own API to allow the user to manually instrument his or her application. |
-- 
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