diff --git a/barbora.csv b/barbora.csv
index 3798316da5404a9478eb9dcf012331863b2cbdba..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
--- a/barbora.csv
+++ b/barbora.csv
@@ -1,1225 +0,0 @@
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-zlib/1.2.11-GCCcore-8.3.0,32
-zlib/1.2.11-GCCcore-9.3.0,32
-zstd/1.4.4-GCCcore-9.3.0,32
-zstd/1.4.5-GCCcore-10.2.0,32
diff --git a/karolina.csv b/karolina.csv
index b46c3ffc75ec268764a4e55ca7e4908774438c20..309511291b896c2b9ce834e252ed8a9c7fbae1b1 100644
--- a/karolina.csv
+++ b/karolina.csv
@@ -288,6 +288,8 @@ intltool/0.51.0-GCCcore-9.3.0,1
 iomkl/2020b,1
 iompi/2020b,1
 IOTK/1.2.2-intel-2020a,1
+ipp/2020.3.304,1
+itac/2020.4.036,1
 JasPer/2.0.24-GCCcore-10.2.0,1
 Java/1.8.0_221,1
 LAME/3.100,1
@@ -523,6 +525,7 @@ sympy/1.7.1-foss-2020b,1
 Szip/2.1.1-GCCcore-10.2.0,1
 Szip/2.1.1-GCCcore-9.3.0,1
 TB2J/0.6.5-GCCcore-10.2.0,1
+tbb/2020.3-GCCcore-10.2.0,1
 Tcl/8.6.10-GCCcore-10.2.0,1
 Tcl/8.6.10-GCCcore-9.3.0,1
 Tcl/8.6.11-GCCcore-10.3.0,1
diff --git a/karolina.md b/karolina.md
index 75e828e5c52cac8cd05aac69f9f75bfe2b663bbd..b2431f1120cbc497610f1293e0af190a6fd2dc60 100644
--- a/karolina.md
+++ b/karolina.md
@@ -171,6 +171,7 @@
 | [PyYAML](https://github.com/yaml/pyyaml) | PyYAML is a YAML parser and emitter for the Python programming language. |
 | [SIONlib](https://www.fz-juelich.de/ias/jsc/EN/Expertise/Support/Software/SIONlib/_node.html) | SIONlib is a scalable I/O library for parallel access to task-local files. The library not only supports writing and reading binary data to or from several thousands of processors into a single or a small number of physical files, but also provides global open and close functions to access SIONlib files in parallel. This package provides a stripped-down installation of SIONlib for use with performance tools (e.g., Score-P), with renamed symbols to avoid conflicts when an application using SIONlib itself is linked against a tool requiring a different SIONlib version. |
 | [snappy](https://github.com/google/snappy) | Snappy is a compression/decompression library. It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression. |
+| [tbb](https://github.com/oneapi-src/oneTBB) | Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability. |
 | [UCX](http://www.openucx.org/) | Unified Communication X An open-source production grade communication framework for data centric and high-performance applications |
 | [zlib](http://www.zlib.net/) | zlib is designed to be a free, general-purpose, legally unencumbered -- that is, not covered by any patents -- lossless data-local_compression library for use on virtually any local_computer hardware and operating system. |
 | [zstd](https://facebook.github.io/zstd) | Zstandard is a real-time compression algorithm, providing high compression ratios. It offers a very wide range of compression/speed trade-off, while being backed by a very fast decoder. It also offers a special mode for small data, called dictionary compression, and can create dictionaries from any sample set. |
@@ -226,6 +227,7 @@
 | [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. |
+| [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. |
 | [OPARI2](https://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. |
 | [OTF2](https://www.score-p.org) | The Open Trace Format 2 is a highly scalable, memory efficient event trace data format plus support library. It is the new standard trace format for Scalasca, Vampir, and TAU and is open for other tools. |
 | [PAPI](https://icl.cs.utk.edu/projects/papi/) | PAPI provides the tool designer and application engineer with a consistent interface and methodology for use of the performance counter hardware found in most major microprocessors. PAPI enables software engineers to see, in near real time, the relation between software performance and processor events. In addition Component PAPI provides access to a collection of components that expose performance measurement opportunites across the hardware and software stack. |
@@ -289,6 +291,7 @@
 | [help2man](https://www.gnu.org/software/help2man/) | help2man produces simple manual pages from the '--help' and '--version' output of other commands. |
 | [hypothesis](https://github.com/HypothesisWorks/hypothesis) | Hypothesis is an advanced testing library for Python. It lets you write tests which are parametrized by a source of examples, and then generates simple and comprehensible examples that make your tests fail. This lets you find more bugs in your code with less work. |
 | [Inspector](https://software.intel.com/en-us/intel-inspector-xe) | Intel Inspector XE is an easy to use memory error checker and thread checker for serial and parallel applications |
+| [itac](https://software.intel.com/en-us/intel-trace-analyzer/) | The Intel Trace Collector is a low-overhead tracing library that performs event-based tracing in applications. The Intel Trace Analyzer provides a convenient way to monitor application activities gathered by the Intel Trace Collector through graphical displays. |
 | [libarchive](https://www.libarchive.org/) | Multi-format archive and compression library |
 | [Meson](https://mesonbuild.com) | Meson is a cross-platform build system designed to be both as fast and as user friendly as possible. |
 | [networkx](https://pypi.python.org/pypi/networkx) | NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. |