DEGREE is investigating a method for increasing energy efficiency in data centers by dynamically controlling cooling circuit temperatures, and is developing guidelines for implementing the resulting concepts.
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.
The ENRICH project will analyze current developments in IT and the operation of high-performance computing (HPC) centers regarding their resource efficiency and sustainability potential.
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.
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.
Platform for optimising the design and operation of modular configurable IT infrastructures and facilities with resource-efficient cooling
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.
Ecological implications of cloud-based IT infrastructures are creating a critical gap in the current state of the art in research and business. The ECO2Clouds project investigated strategies that can ensure effective application deployment on the cloud infrastructure, reduce energy consumption and by association CO2 emissions and furthermore the costs of the whole execution.
The main goal of ExaFLOW is to address key algorithmic challenges in CFD (Computational Fluid Dynamics) to enable simulation at exascale, guided by a number of use cases of industrial relevance, and to provide open-source pilot implementations.
Today, exascale computers are characterized by billion-way parallelism. Computing on such extreme scale requires methods that scale perfectly and have optimal complexity. This project brings together several crucial aspects of extreme scale solving.
The EXCESS scientific and technological concept in addressing energy efficiency is defined by novel execution models between common high-performance computing infrastructures and embedded systems.
The GAMES project aims at developing a set of innovative methodologies, metrics, open source ICT services and tools for the active management of energy efficiency of IT service centers.
JUNIPER was an EU FP7-ICT project, started in December 2012, that aimed to establish a development platform for new-generation, data-demanding applications.
The limiting factor in the development of an exascale high-performance computer systems is power consumption. The Mont-Blanc2 project focused on the task of developing a next-generation HPC system using embedded technologies to address this challenge.
The Mont-Blanc project aims to design a new type of computer architecture capable of setting future HPC standards, built from energy-efficient solutions used in embedded and mobile devices.
Motivated by the sustainability strategy, green IT strategy, and HPC strategy of the state of Baden-Württemberg, this project investigated how principles of sustainability could be applied to the High-Performance Computing Center Stuttgart (HLRS).
