The ITEA project Flex4Apps addresses the challenges of monitoring and optimizing large, distributed, cyber-physical systems. The goal of the project is to provide a solution to manage the high data volumes and complexity of system monitoring whilst disturbing the target system as little as possible.
Project duration: 08/2016 - 07/2019
In the project IDSN (Integrative data semantics for neurodegenerative research) Fraunhofer SCAI, the Deutsche Zentrum für neurodegenerative Erkrankungen (DZNE) and the Universitätsklinikum Bonn (UKB) cooperate to improve the early recognition of dementia diseases. For that purpose they analyze clinical data and research data in an overall view.
Project duration: 03/2016 - 02/2019
Growth and processing of materials is an integral part of chemical and electronic engineering. As these industries are introducing nanoscale technologies the processes will require atomic-scale precision which is difficult and costly to obtain by experimental trial and error. With the newly developed tool it will be possible to simulate atomic-scale mechanisms under different process conditions, providing valuable input to the process optimization which will reduce the cost of developing new materials. Project duration: 06/2015 - 05/2018
In the Neuroallianz Consortium various academic institutions and companies collaborate in strategic research partnerships that develop new therapeutic and diagnostic approaches of neurodegenerative diseases. SCAI contributes a collaborative information technology platform to support data exchange, intelligent data analysis, and disease-centric knowledge discovery for the partners. Project duration: 06/2013 - 05/2018
VAVID allows technology firms to get a better grip on the massive amount of data they need to handle. The partners in this project are developing methods to tackle the enormous volumes of data that accumulate at engineering departments. Examples of such data include simulation results and the sensor data received from machines and installations. VAVID works by using comparative analysis and data compression to reduce data to its relevant core. This saves on the costs of data storage and creates the transparency needed by engineers to optimize both production and products. Project duration: 09/2014 - 12/2017
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: 01/2014 - 12/2016
The ITEA project MACH 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: 11/2013 - 10/2016
In order to improve data center energy efficiency, the project SIMOPEK develops simulation and optimization methods for the energy cycle of cooling networks of computing centers taking into account the operation scenario of supercomputer centers.
Project duration: 07/2013 - 06/2016
The project SKASIM develops new highly parallel molecular dynamics approaches and new methods for highly parallel mathematical optimization in order to improve both, molecular model optimization and simulation.
Project duration: 07/2013 - 06/2016
Electronic components have been miniaturized to such an extent that today single atoms influence their performance and reliability. This is why the electronics industry needs new simulation tools at the atomic scale to improve their products. The objective of the project is to develop efficient methods for the atomistic modeling of new materials in electronics and to implement them in a user-friendly software.
Energy controlling, energy management and opimization system based on online process mining
SCAI and GNS mbH will develop new data mining methods for the analysis of simulation results in the automotive industry. These methods will be integrated into new software tools supporting simulation engineers in the discovery of branching points in the development history of new products.
The project provides the developers of compute-intensive applications with a hybrid programming environment for heterogeneous computing clusters composed of processors and hardware accelerators. This environment facilitates the development and porting of HPC applications like SCAI´s software SAMG.
In the BMBF project »SchmiRmaL« Fraunhofer SCAI uses state-of-the-art molecular modeling to simulate octanol/water and membrane/water partition coefficients. Both properties are important to estimate the toxicity of chemicals. The octanol/water partitioning is a measure how strong a chemical accumulates in biological tissue. The membrane/water partition shows how fast a chemical can enter the biological cell. Since the experiments are not simple to perform because of the extremely low IL concentrations, the simulation represents a realistic alternative both because of it’s accuracy and it’s price.
The project aims at the extraction of the effective dimensions in high-dimensional simulation data in the context of automotive design. Linear methods, like principal component analysis, are not sufficient for many applications due to significant nonlinear effects. Therefore, they will be complemented by methods that are able to resolve nonlinear relationships, i.e., by means of sparse grid discretizations.
In the project, academic and industry partners are working together to find solutions to challenges of the future vehicle development. The aim is to develop methods and software tools for the robust simulation and optimization of coupled multiphysics problems in automotive design.
The project addresses a difficult task in the software industry, known as the »Multicore Challenge«. The aim is to stimulate the development of programming models and programming languages that lead to new ways for mathematical modeling, algorithms, and their implementation in software.
The project develops algorithms and software for the calculation of thermochemical equilibria of multiphase systems with an arbitrary number of system components. Such calculations are used for the prediction of the reaction between chemical substances and the resulting products. The project combines mathematical methods, high performance computing and thermochemical modeling.
The project aims for a better integration and simplified usage of heterogeneous computing systems. User-given algorithms are automatically mapped on heterogeneous architectures including multicore CPUs, GPUs, and new accelerators like FPGAs in an architecture-specific optimized manner.
The project aims to realize an HPC-based solution for the automated analysis of multi-modal pharmaco-chemical document data bases. The text and structure analysis will be based on the Unstructured Information Management Architecture (UIMA). SCAI will develop integrated text and image analysis engines, including annotation engines, and will implement them on HPC systems.
The production of automotive body parts involves sheet metal forming via pressing or stamping processes. The core of the software »VIPROFORM« is a data base of existing CAD models with the results of already accomplished forming simulations. The aim is to develop mathematical methods and parallelized software that improves the virtual design of robust construction elements.
The aim of the project is to improve the safety of biopharmaceuticals which are manufactured using gene technology. Together with industry partners, Fraunhofer SCAI will develop a software for the automated quality analysis of biopharmaceuticals and their equivalents.
Numerical simulation has become increasingly important in the design process of aircraft components. Nevertheless, a lot of time is still invested in the testing of prototypes in the wind tunnel. For that reason, effort is put into the development of a »numerical wind tunnel« in a virtual flight testing environment to reduce the costs during all stages of the design process.
SCAI develops a secure platform for text mining workflows that can easily be deployed in private and public cloud infrastructures. SCAI designs and implements processes and workflows for text mining of medical data, providing the results to users from clinics. This includes setting up and providing the initial cloud Infrastructure as a Service (IaaS) for the projects text mining platform.
The aim of the DARE project is to provide a new working environment for scientific communities, wrestling with the challenges of extreme data, computing and complexity. For that purpose, DARE includes experts and use cases from two research infrastructures: EPOS (European Plate Observing System) and IS-ENES (Infrastructure for the European Network of Earth System Modelling), engaging in the co-design and production use of extreme methods that address these challenges. The resulting platform and development context will build transparent, traceable and developer-friendly bridges over existing European e-infrastructures and services and consequently allow for easily usable and reproducible huge data-driven experiments, and rapid prototyping. SCAI will take part in various aspects of the project but primarily contribute its expertise as an e-infrastructure expert in service integration and operations on highly distributed infrastructures.
Project duration: 01/2018 – 12/2020
The aim of the Rohan project is to provide researchers with easier access to important neuroscientific information. A user-friendly platform will be developed to enable users to access all terms related to human brain diseases and related ontologies. Ontologies show how technical terms relate to each other. Among other things, the platform is intended to support biologists, clinical researchers and data scientists.
Project duration: 04/2018 - 03/2020
In the "Human Brain Project" (HBP), which is funded by the European Commission, leading research institutions work together to better understand the human brain. For that purpose the project partners will develop new simulation methods, for example on high performance computers. The project aims to develop new therapeutic approaches for the treatment of brain diseases and new methods of High Performance Computing.
Project duration: 10/2013 - 03/2020
StandICT.eu defines a pragmatic approach to reinforcing EU expert presence in international ICT standardisation. By setting up, managing and monitoring a continuous open call, StandICT.eu will provide a streamlined process supporting the participation and contribution of EU specialists in SDOs & SSOs in the 5 essential building blocks of the Digital Single Market (DSM), viz.: cloud computing, 5G communications, IoT, cybersecurity & data technologies.
Project duration: 01/2018 – 12/2019
Fortissimo is a collaborative project that will enable European SMEs to be more competitive globally through the use of simulation services running on a High Performance Computing cloud infrastructure. SCAI contributes to FORTISSIMO with its expertise in two technology domains:
Project duration: 11/2015 - 10/2018
EGI-Engage aims to accelerate the implementation of the Open Science Commons by expanding the capabilities of a European backbone of federated services for compute, storage, data, communication, knowledge and expertise, complementing community-specific capabilities.
Project duration: 03/2015 - 08/2017
The Horizon 2020 project SESAME Net will promote access to computational expertise anywhere in Europe and enable the dissemination of best practice in HPC industrial use particularly for SMEs. Project duration: 06/2016 - 05/2017
VERCE supports earthquake research by developing a data-intensive eScience environment. SCAI contributes its experience in distributed infrastructures and service provisioning.
The projekt Optimized Infrastructure Services (OPTIMIS) enables organizations to automatically externalize services and applications to best-execution venues in the hybrid cloud model. SCAI contributes a solution for software licensing and management in clouds and a framework for negotiating and creating Service Level Agreements
+Spaces targets the use of data from online communities like Facebook, Twitter, and others to support policy making. In these spaces huge numbers of participants can share their opinion in polls, textual debates, or structured role play simulations. SCAI supports the decision making processes by intelligent data analysis service
EGI establishes a sustainable European grid infrastructure. SCAI is one of the involved service centers in Germany and participates in operating services for the infrastructure. Furthermore, SCAI develops data discovery tools and interfaces for the earth science community.
Current software licensing practices are limiting the acceleration of Grid adoption. Indeed, the rapid emergence of service and virtualization environments requires a rapid evolution in licensing models. SmartLM will provide a generic and flexible licensing virtualization technology for new service-oriented business models across organization boundaries.
The project explores mathematical models and numerical simulations for the biophysical effects of focused ultrasound and its application to tumor treatment in the human abdomen. A demonstrator software for the planning and optimization of the treatment will be developed.
Local combined heat and power stations with gas turbines will gain importance as energy source. In order to increase the heat resistance and durability of turbines, the rotor and other parts are made of ceramic materials. SCAI will apply multiphysics simulation methods to optimize the energy efficiency of the system.
Modeling and optimization of the coupling of energy sectors for the flexibilization of the energy infrastructure.
Project duration: 06/2016 - 12/2019
The project CharMe-uPS is funded by the Forschungsvereinigung der Arbeitsgemeinschaft der Eisen und Metall verarbeitenden Industrie e.V. (AVIF) and works on the characterization and meta-modelling of heterogeneous spot-welded Joints for crash simulation.
Project duration: 07/2015 - 12/2018
The project Identifikation physikalischer reaktionskinetischer Modelle unter Einsatz von Metamodellierung am Beispiel der alkalischen Elektrooxidation von Methanol funded by the DFG models and simulates mikro- and macrokinetics speed determining steps of the alkaline oxidation of methanol on the basis of a suitable combination of physical approaches and metamodelling.
Project duration: 10/2015 - 09/2017
In the project UmCra2 funded by the AiF new models for metal forming were developed in order to improve crash simulation.
Project duration: 2011 - 2014