Index

We are happy to announce a major release LIKWID 5.2.0.

Speaker: Dr. Christian Terboven (RWTH Aachen IT Center) Title: Tasking in OpenMP 5.0 Abstract: With the increasing prevalence of multi-core processors, shared-memory programming models are essential. OpenMP is a popular, portable, widely supported, and easy-to-use shared-memory model. Since...

We are happy to announce a talk by Jan Laukemann (Intel Labs) in the NHR PerfLab seminar. Title: ALTO: Adaptive Linearized Storage of Sparse Tensors Abstract: The analysis of high-dimensional sparse data is becoming increasingly popular in many important domains. However, real-world sparse ...

The NHR PerfLab is pleased to host an online seminar talk by Hartwig Anzt (Karlsruhe Institute of Technology): Title: Pushing the Roofline: A Modular Precision Ecosystem Based on a Memory Accessor Abstract: The roofline model not only provides a powerful tool for predicting the performance ...

The NHR PerfLab is pleased to announce a seminar talk by Andreas Abel from Saarland University. Title: Automatic Generation of Models of MicroarchitecturesAbstract: Detailed microarchitectural models are necessary to predict, explain, or optimize the performance of software running on modern mic...

It is our pleasure to announce the first NHR@FAU Newsletter. The newsletter is a publication that summarizes recent and upcoming events in and around the Erlangen National High Performance Computing Center. Beyond events, every newsletter will highlight special or noteworthy achievements by NHR scie...

We are happy to announce a bugfix release LIKWID 5.1.1.

Gerhard Wellein, managing director of the Erlangen National High Performance Computing Center (NHR@FAU), is invited for a seminar talk at the Scalable Parallel Computing Lab (SPCL) Bcast seminar at ETH Zürich. Everyone is invited to attend. Title: Performance Engineering for Sparse Matrix-Vector ...

The NHR PerfLab is pleased to host an online seminar talk by Tobias Ribizel (KIT) about Parallel Selection on GPUs. Abstract: We present a novel parallel selection algorithm for GPUs capable of handling single rank selection (single selection) and multiple rank selection (multiselection). The al...