Jan-Patrick Lehr

ROCm™ has been AMD’s software foundation for both high-performance computing (HPC) and AI workloads and continues to support the distinct needs of each domain. As these domains increasingly converge, ROCm™ is evolving into a more modular and flexible platform.

This presentation showcases the different programming models that users of the AMD ROCm™ compiler can employ to offload computation to AMD GPUs. The talk highlights the interoperability of the programming models (HIP, OpenMP®, OpenCL™) with the supported languages (C, C++, Fortran), given the common compiler infrastructure.

The world’s largest supercomputers get most of their potential from their GPU accelerators. As such, it is essential to target GPUs when running on such powerful machines.

In the scope of the National Research Data Infrastructure Germany (NFDI) we develop and maintain a knowledge-base with guides and best practices about scientific software development – availabe at https://nfdi4ing.pages.rwth-aachen.de/knowledge-base/. With the knowledge-base we pursue the goal to make sustainable software development possible for everybody.

PIRA is a tool to automatically filter and focus Score-P's profiling to relevant program regions. This involves both static, i.e., source-code feature, and dynamic, i.e., runtime information, analysis.

This talk gives an overview of the various open source HPC-related research projects at the Institute for Scientific Computing at TU Darmstadt. For each of the projects, we present an overview of the tool and its application from a user perspective.