Author: Thomas Gruber

We are happy to release version 5.3.0 of LIKWID, the tools suite for performance oriented programmers. Thanks to all the contributors, especially HPE for the AMD ROCm backend. You can download it from our FTP server or the GitHub repository. Changelog for 5.3.0: - Support for Intel SapphireRa...

We are happy to announce the new version 5.2.2 of the LIKWID toolsuite. It contains bugfixes for various architectures and execution modes. You can download it from our FTP server or the GitHub repository. Changelog: Fix pin string parsing in pinning library Make SBIN path configurable...

We are happy to announce that the Julia wrapper LIKWID.jl now supports all features of the LIKWID library

We are happy to release a new bugfix release of the LIKWID toolsuite (version 5.2.1). Add support for Intel Rocketlake and AMD Zen3 variant (Family 19, Model 0x50) Fix for perf_event multiplexing (important!) Fix for potential deadlock in MarkerAPI (thx @jenny-cheung) Build and runtime...

Since June 2020, the Top500 list is led by the supercomputer Fugaku, which comprises over 7.5 million Fujitsu A64FX cores. Besides their raw computational power, the cores are equipped with features that support parallel execution on the systems: hardware barrier, sector cache (cache partitioning), ...

We are happy to announce a major release LIKWID 5.2.0.

We are happy to announce a bugfix release LIKWID 5.1.1.

The HPC-focused Julia programming language community grows day by day. Julia is developed by the Julia Lab at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). Valentin Churavy, graduate student at MIT, created an interface to the LIKWID tool suite and library, developed by the ...

We are happy to announce a new major release 5.1.0 of LIKWID adding support for the latest and upcoming architectures.

We are happy to announce a new bugfix release 5.0.2 of LIKWID. If you want to use LIKWID on AMD Zen/Zen2 systems, we highly recommend you updating your installation.