Tools

We are happy to announce that the NHR@FAU JupyterHub server (accessible via the HPC Portal) now provides options to start sessions for Matlab, R-Studio, and the Whisper transcription web service for our Tier-3 customers (i.e., FAU staff and students, plus the FAU service coverage area). Several j...

We are happy and proud to announce the initial stable release of cc-backend, the central Web UI and API backend for the ClusterCockpit job-specific monitoring framework. At the same time, we have launched a ClusterCockpit website. ClusterCockpit is a job-specific performance and power monitoring ...

Our brand-new tutorial “Core-Level Performance Engineering” has been accepted as a full-day tutorial at ICPE 2023, the 14th ACM/SPEC International Conference on Performance Engineering. This tutorial concentrates on the in-core aspects of performance modeling and analysis on CPUs. We use Matt Godbol...

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 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.