Author: Thomas Gruber

We are happy to announce a bugfix release of LIKWID (5.4.1). This is what got fixed: Fixes linking errors due to missing bstrlib.h Fix for likwid-bench kernel stream_mem Fix builds with CUDA for versions 11.2 to 12.6 Fix sysfeatures with ACCESSMODE=perf_event Add AMD Zen1 to Zen...

After a year without an update, we are happy to release the new version 5.4.0 of LIKWID. This is what's new: Support for Intel Granite Rapids (core, energy, uncore) Support for Intel Sierra Forest (core, energy, uncore) Support for AMD Bergamo (core, energy, uncore) Support for Nvi...

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 ...