diff --git a/salomon.csv b/salomon.csv index b6a79a4107f6153292e93848c27f45c7e0d60f52..7c0434bf5113b4dc8aff8dadeb3b8dd71ab8916b 100644 --- a/salomon.csv +++ b/salomon.csv @@ -201,6 +201,10 @@ cryptography/2.3-Py-2.7,2 cst-studio/2019,2 Cube/4.3.4-intel-2015b,2 Cube/4.3.5,2 +CubeLib/4.4.3-gompi-2019.03,2 +CubeLib/4.4.3-intel-2017a,2 +CubeLib/4.4.3-intel-2018a,2 +CubeLib/4.4.3-intel-2019.02,2 CUDA/7.5.18,2 CUDA/8.0.61,2 CUDA/9.1.85,2 @@ -473,6 +477,7 @@ gompi/2017b,2 gompi/2017c,2 gompi/2018a,2 gompi/2019.02,2 +gompi/2019.03,2 gperf/3.0.4-foss-2015g,2 gperf/3.0.4-foss-2016a,2 gperf/3.0.4-intel-2016a,2 diff --git a/salomon.md b/salomon.md index f5fe9cba337066753a0c4e212ea1ce6c663b14d4..d72ebe5c4b02c768ff262c8fa43b332a4ac27a7a 100644 --- a/salomon.md +++ b/salomon.md @@ -357,6 +357,7 @@ | ------ | ----------- | | [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 | | [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. | +| [CubeLib](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. | | [ipp](http://software.intel.com/en-us/articles/intel-ipp/) | Intel Integrated Performance Primitives (Intel IPP) is an extensive library of multicore-ready, highly optimized software functions for multimedia, data processing, and communications applications. Intel IPP offers thousands of optimized functions covering frequently used fundamental algorithms. | | [MAP](http://www.allinea.com/) | C, C++ and F90 profiler for high performance and multithreaded Linux applications | | [OPARI2](http://www.score-p.org) | OPARI2, the successor of Forschungszentrum Juelich's OPARI, is a source-to-source instrumentation tool for OpenMP and hybrid codes. It surrounds OpenMP directives and runtime library calls with calls to the POMP2 measurement interface. |