Green IT / HPC

Current HLRS Projects


DEGREE

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.

Photo of cooling machinery at HLRS

EE-HPC

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.

EE-HPC

ENRICH

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.

Logo for ENRICH project.

SiVeGCS

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.

Photo of a user support workshop in the HLRS training facility.

TOPIO

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.

Image showing model of climate change across Europe and northern Africa.

Past Projects


CoolEmAll

Platform for optimising the design and operation of modular configurable IT infrastructures and facilities with resource-efficient cooling


DreamCloud

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.


ECO2Clouds

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.


ExaFLOW

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.


ExaSolvers

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.

ExaSolvers

Excess

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.


GAMES

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.

GAMES

JUNIPER

JUNIPER was an EU FP7-ICT project, started in December 2012, that aimed to establish a development platform for new-generation, data-demanding applications.


Mont-Blanc 2

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.


Mont-Blanc 3

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.


Sustainability in HPC Centers

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).