The 3xa project will develop scalable methods for the simulation of three-body interactions in particle systems, applying vectorized kernels, dynamic load balancing approaches and adaptive resolution schemata.
DECICE is developing an open and portable cloud management framework that will enable the automatic and adaptive optimization of software applications for heterogeneous computing architectures.
EE-HPC is testing an approach for improving energy efficiency in HPC systems by automatically regulating system parameters and settings based on current job requirements.
This interdisciplinary Excellence Cluster at the University of Stuttgart is developing simulation technologies to enable integrative systems science.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
targetDART is developing a task-based approach for highly scalable simulation software that mitigates load-imbalance on heterogenous systems through dynamic, adaptive and reactive distribution of computational load across compute resources.
Focusing on a large-scale, high-resolution earth system model, TOPIO is investigating read and write rates for large amounts of data on high-performance file systems, as well as approaches that use compression to reduce the amount of data without causing a significant loss of information.
aqua3S is developing a new system for detecting threats in drinking water safety and security, combining data from state-of-the-art sensors and other detection mechanisms.
BEAM-ME developed strategies based in applied mathematics and computer science to increase computational performance of energy system models on high-performance computing systems.
CRESTA brings together four of Europe’s leading supercomputing centres, with one of the world’s major equipment vendors, two of Europe’s leading programming tools providers and six application and problem owners to explore how the exaflop challenge can be met.
CYBELE is integrating tools from high-performance computing, high-performance data analytics, and cloud computing to support the development of more productive, data driven methods for increasing agricultural productivity and reducing food scarcity.
The project aims to develop novel load balancing mechanisms that can be applied during runtime in a wide range of parallel and high performance computing systems, allowing for a fine-tuning of the trade-off between performance guarantees and system efficiency according to the application needs.
This project focused on extending the computational fluid dynamics code FLEXI for new applications, including with respect to industrial problems.
This project aims to develop and operationalize new prediction products for the integration of photovoltaics (PV) into the energy market and smart grids by delivering simulations of PV power output at high resolution.
The clock-speed of modern processors barely rises any longer. Instead, hardware is moving towards placing multiple processing units on a single chip and interconnecting them.
ParaPhrase aims to produce a new structured design and implementation process for heterogeneous parallel architectures.
POLCA explicitly addresses the programmability concerns of both embedded and high performance computing.
This Centre of Excellence in Computing Applications offers the service of precisely assessing the performance of computing applications, identifying issues that affect code performance and the best way to alleviate them.
This Center of Excellence in Computing Applications provides performance optimization and productivity services for academic and industrial users of high-performance computing.
HLRS is developing new software for quantum computers and investigating ways to integrate them with conventional systems for high-performance computing and artificial intelligence.
SkaSim addressed the computational requirements for the development of extremely accurate models of molecular interactions.
The SLA4D-Grid project envisages a Service Level Agreement layer for supporting users, communities and resource providers.
The project TaLPas (Task-basierte Lastverteilung und Auto-Tuning in der Partikelsimulation) targets an auto-tuning, task-based approach to high-performance particle simulations.
