Finished Projects in the Business Areas High Performance Computing


Aim of the project WAVE funded by the BMBF is the development and implementation of new approaches for the reverse time migration method.

Project duration:1.2.2016 - 31.6.2019


The project FAST (Find a Suitable Topology for exascale Applications) funded by the BMBF will improve the initial job distribution of a scheduler and the re-scheduling on the basis of key performance indicators.
Project duration: 1.1.2014 - 31.12.2016


The project MACH funded by the BMBF deals with the research for and development of concepts for the application of DSLs for the improvement of development and maintainability of computationally intensive algorithms on a multitude of hardware sytems.
Project duration: 1.11.2013 - 31.10.2016


The project GASPI (Global Address Space Programming Interface) addresses a challenge­ in the software industry, known as the “Multicore Challenge”. The aim of the project is to stimulate the development­ of new programming models and programming­ languages that lead to new ways for mathematical modeling, algorithm­s, and their implementation­ in software.


The objective of H4H is to provide the developers of compute-intensive apps with a highly efficient hybrid programming environment for heterogeneous computing clusters composed of classical­ processors and hardware accelerators. The challenges of the transition from traditional single core processors towards modern multicore and manycore architectures can be reduced to algorithms. In this area, SCAI is able to make valuable contributions to the H4H consortium.


Synoptic analysis of chemical constituents from satelite data with four-dimensional data assimilation


The project Enabling Grids for E-sciencE (EGEE) is the successor of the European DataGrid (EDG) project which was a three-year effort led by CERN. EGEE-I started in April 2004 and ended in March 2006 and was followed by EGEE-II, which ended in March 2008. EGEE-II is succeeded by EGEE-III. The aim of the EGEE project is to integrate current national, regional and thematic Grid efforts, in order to create a seamless European Grid infrastructure for the support of the European Research Area.


Dissemination and Exploitation of GRids in Earth SciencE

Weather and Climate

Informatics and Numerics for Weather and Climate Simulation

SCAI's know-how of algorithms and numerics is helpful for the solution of complex simulations in weather forecast and climate development prediction.

Enterprise Grids

Business Solutions for the Usage of Distributed IT Resources and Services

Due to the increasing networking of companies and the strongly growing area of electronic business, the importance of utilizing all kinds of electronic resources in industry grows steadily. The possibility to make unused computing power and available applications accessible to users of the whole organization independent of their actual location is one of the advantages which can be realized by grid technologies.


Ship Design and Simulation System

Partners from ship building industries and IT experts jointly develop the integrated ship design and simulation system SESIS. The focus is on the early design phase, where all important parameters of a new ship are fixed. SESIS supports the collaboration between ship yards and their suppliers and consultants.


Business Experiments in Grid

BEinGRID fosters the take-up of Grid solutions in industry using 18 »Business Experiments«. Fraunhofer SCAI is engaged in two of them, enabling engineers in ship building and automotive supplier industries to access Grid resources easily in their daily work. Simulation and optimization facilities help them to improve the product design.


Co-operative Grid-Solutions for Industrial Applications

The objective of PartnerGrid is the development of a software platform specially tailored to the requirements of industrial users. It supports the collaboration between teams in a virtual environment, e.g. integrators, suppliers and service providers.


Extensible Simulation Package for Research on Soft Matter

Computer simulations of chemical systems on the molecular level are a key to the fast development of matter. They require a lot of special know-how and development time. This problem is tackled by the Max Planck Society and the Fraunhofer-Gesellschaft in a strategic partnership.


The project aims for a better integration and simplified usage of heterogeneous computing­ resources­ within current and upcoming computing systems. Today, even personal computers may be used to solve medium-sized scientific computing problems in a cost-effective and energy-efficient way without accessing large and expensive super­ computing systems.