Christian Plessl

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Full professor

University of Paderborn

Germany

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About

Christian Plessl is a Full Professor at Universität Paderborn in Germany. His research focuses on high-performance computing, specifically in areas such as quantum computing, FPGA accelerators, and computational techniques for solving complex mathematical problems. His recent publications include work on energy-efficient solvers for nonlinear Schrödinger equations and scalable quantum detector tomography. Professor Plessl is also actively involved in advancing methods for parallel quantum chemistry and the evaluation of FPGA performance in high-performance simulations.

Recent Grants

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Verbundprojekt: HighPerMeshes - Domänenspezifische Programmierung und zielplattformbewusste Compiler-Infrastruktur für Algorithmen auf unstrukturierten Gittern

Open Date: 2017-04-01

Close Date: 2020-09-30

Grant: Close

Hochleistungsrechner Noctua in Paderborn

Open Date: 2017-01-01

Close Date:

Grant: Close

Performance and Efficiency in HPC with Custom Computing

Open Date: 2016-01-01

Close Date:

Grant: Close

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

Open Date: 2013-09-01

Close Date: 2016-08-31

Grant: Close

Verbundprojekt ENHANCE - Enabling Heterogeneous Hardware Acceleration using Novel Programming and Scheduling Models

Open Date: 2011-04-01

Close Date: 2013-12-31

Articles (14)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2020

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2020

Collaborators (6)

Stephan Mohr

Chief Scientific Officer

SPAIN

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Martin Brehm

Professor for Theoretical Spectroscopy

Universität für Bodenkultur Department für Chemie

GERMANY

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Tim Bartley

Junior Professor

University of Paderborn

GERMANY

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Hossein Mirhosseini

GERMANY

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Thomas D. Kühne

University of Paderborn

GERMANY

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Andrea Walther

Professor

Humboldt-Universität zu Berlin

GERMANY

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Christian Plessl

Research Interests

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About

Recent Grants

Articles (14)

Scalable quantum detector tomography by high-performance computing

PHOENIX – Paderborn highly optimized and energy efficient solver for two-dimensional nonlinear Schrödinger equations with integrated extensions

Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations

A Computation of the Ninth Dedekind Number Using FPGA Supercomputing

A Two-Step Machine Learning Method for Predicting the Formation Energy of Ternary Compounds

Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics

Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-switched Inter-FPGA Networks

Parallel quantum chemistry on noisy intermediate-scale quantum computers

The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations

In-depth FPGA accelerator performance evaluation with single node benchmarks from the HPC challenge benchmark suite for Intel and Xilinx FPGAs using OpenCL

The HighPerMeshes framework for numerical algorithms on unstructured grids

Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms

Accurate Sampling with Noisy Forces from Approximate Computing

Accurate sampling with noisy forces from approximate computing

Collaborators (6)

Stephan Mohr

Martin Brehm

Tim Bartley

Hossein Mirhosseini

Thomas D. Kühne

Andrea Walther

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