The Scalasca Trace Tools support performance optimization of parallel programs with a collection of highly scalable trace-based tools for in-depth analyses of concurrent behavior, in particular with respect to communication and synchronization, and offers guidance in exploring their causes.
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
CADET is a fast and accurate solver for a comprehensive model family. Typical applications include chromatography, filtration, crystallization, and fermentation. The models are solved with state-of-the-art mathematical algorithms and scientific computing techniques.
The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling and event tracing of HPC applications. It offers the user a maximum of convenience by supporting a number of analysis tools like Scalasca, Vampir, Tau, and Extra-P while being open for other tools.
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.
pySDC is a Python implementation of the spectral deferred correction approach and its flavors, esp. the parallel-in-time extension PFASST. It is intended for rapid prototyping and educational purposes. New ideas can be tested and first toy problems can be easily implemented.
Kadi4Mat is an open-source software for managing research data, which supports close cooperation between experimenters, theorists, and simulators, especially in the field of materials science.
The guidance system HELIPORT aims to make the entire life cycle of a scientific project according to the FAIR principles. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows and results.
ChASE is a modern and scalable library to solve dense Hermitian (Symmetric) algebraic eigenvalue problems based on a spectral polynomial filter. The library is fully parallelized, and is particularly effective for sequences of eigenproblems as they often arise in electronic structure theory.
The PaN Training Catalogue is a fork from the TeSS Training Catalogue (ELIXIR) and was initially developed in our Photon and Neutron (PaN) projects ExPaNDS and PaNOSC.