diff --git a/karolina.csv b/karolina.csv index c7331729312647a012508d6f1d70ec7b6d6b33d5..d23550d7afc720ba02dd4f71af89a3026a6552d8 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 26e5bc70ef7538f47df6b97c435731ae6099e30e..9a628989a17d14aaf3b494d9dd455bb333922f82 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. |