Tools

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...

At JuliaCon 2022 last week, Carsten Bauer from PC2 Paderborn gave a great talk on using hardware performance counters in Julia programs with LIKWID.jl, the Julia wrapper for the LIKWID library. With LIKWID.jl, you can leverage the full power of the LIKWID library, first and foremost counting perform...

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), ...

It is our pleasure to announce the 38th VI-HPS Tuning Workshop, organized by NHR@FAU. FAU is a member of VI-HPS, the "Virtual Institute - High Productivity Supercomputing." The mission of VI-HPS is to to improve the quality and accelerate the development process of complex simulation programs in sci...

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 ...