Projects from Prof. Dr. Christian Plessl

High-Performance Computing

16 projects were found

National Research Data Infrastructure for and with Computer Science

The main goal of the consortium NFDIxCS is to identify, define and finally deploy services to store complex domain specific data objects from the specific variety of sub-domains from Computer Science (CS) and to realize the FAIR principles across the board. This includes to produce re-usable data objects specific to the various types of CS data ...

Duration: 01/2023 - 12/2028

Funded by: DFG

EKI-App: Energy-efficient artificial intelligence in the data center by approximating deep neural networks for field-programmable gate arrays

The goal of the project is to increase the energy efficiency of AI systems for DNN inference by approximation methods and mapping on high-performance FPGAs. By adapting, further developing and providing a software tool chain based on the open source tool FINN for the automated, optimized and hardware-adapted implementation of DNNs on FPGAs and ...

Duration: 01/2023 - 12/2025

Funded by: BMUV

FPGA4XPCS: Efficient Real-Time Computation of Autocorrelation Functions for X-Ray Photon Correlation Spectroscopy using FPGAs

Dynamical processes in condensed matter are of importance in various scientific disciplines. X-ray photon correlation spectroscopy (XPCS) is a coherent synchrotron X-ray scattering technique that allows measurements of dynamical phenomena in condensed matter over a wide range of length and time scales. The length scales currently accessible with ...

Duration: 10/2022 - 09/2025

Funded by: BMBF

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SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems

Current systems that incorporate AI technology mainly target the introduction phase, where a core component is training and adaptation of AI models based on given example data. SAIL’s focus on the full life-cycle moves the current emphasis towards sustainable long-term development in real life. The joint project SAIL addresses both basic research ...

Duration: 08/2022 - 07/2026

Funded by: MKW NRW

Green IT: Accurate calculations with inaccurate but energy-efficient computers

Prof. Dr. Christian Plessl, Lehrstuhl für Hochleistungs-IT-Systeme, und Prof. Dr. Thomas D. Kühne, Lehrstuhl für Theoretische Chemie, erhielten 2018 für ihr Projekt „Green IT: Exakte Berechnungen mit ungenauen, aber energieeffizienten Rechnern“ den Forschungspreis der Uni Paderborn. Ziel des interdisziplinären Projekts war es, die Machbarkeit des ...

Duration: 01/2018 - 01/2020

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HighPerMeshes: Domain-specific programming and target-platform-aware compiler infrastructure for algorithms on unstructured grids

HighPerMeshes is a collaborative research project funded by German Ministry of Education and Research (BMBF). The project comprises a consortium of four funded partners and one associated partner and is coordinated by the Paderborn Center for Parallel Computing at Paderborn University.

Duration: 04/2017 - 03/2020

Funded by: BMBF

Contact: Bernard Bauer

Hochleistungsrechner Noctua in Paderborn

Die computergestützte Modellierung, Simulation, Analyse und Optimierung ist in den Natur- und Ingenieurwissen-schaften für den Gewinn wissenschaftlicher Erkenntnisse unverzichtbar. Für die stetig wachsende Gruppe von interdisziplinär arbeitenden Forscherinnen und Forschern der Universität Paderborn ist die Verfügbarkeit einer leistungsfähigen ...

Duration: 01/2017 - 12/2017

Funded by: DFG

PerficienCC: Performance and Efficiency in HPC with Custom Computing

To improve the energy efficiency of HPC systems they are increasingly augmented with hardware accelerators. The use of accelerators does however fall behind their fundamental performance and efficiency potential. In the PerficienCC project we work at closing this gap in cooperation with computational scientists that are customers of the HPC ...

Duration: 01/2016 - 05/2020

Funded by: DFG

InnoArchIT: Innovative Hardware und Software Architekturen durch Industrial IT

Innovationsprojekt: Kleiner Chip – großer EffektUnsere Volkswirtschaft setzt auf Hightech-Produkte wie z.B. computerbasierte Maschinensteuerungen. Diese haben meistens nur kurze Produktlebenszyklen und geringe Losgrößen. Daher müssen die Maschinen und automatisierten Anlagen zur Herstellung dieser Produkte immer wieder schnell für neue ...

Duration: 10/2014 - 06/2017

Funded by: BMBF

Contact: Carlos Paiz Gatica

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SAVE: Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures

Duration: 09/2013 - 08/2016

Funded by: European Commission, FP7 STREP Project