The HighPerMeshes framework for numerical algorithms on unstructured grids
S. Alhaddad, J. Förstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig, T. Kenter, F. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser, F. Wende, Concurrency and Computation: Practice and Experience (2021) e6616.

Diffusion of the carbon dioxide–ethanol mixture in the extended critical region
R.S. Chatwell, G. Guevara-Carrion, Y. Gaponenko, V. Shevtsova, J. Vrabec, Physical Chemistry Chemical Physics 23 (2021) 3106–3115.

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection
M. Karp, A. Podobas, N. Jansson, T. Kenter, C. Plessl, P. Schlatter, S. Markidis, in: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021.

Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA
T. Kenter, A. Shambhu, S. Faghih-Naini, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021.

Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain
T. Nickchen, G. Engels, J. Lohn, in: Industrializing Additive Manufacturing, Cham, 2020.

<i>In silico</i> investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells
H. Mirhosseini, R. Kormath Madam Raghupathy, S.K. Sahoo, H. Wiebeler, M. Chugh, T.D. Kühne, Physical Chemistry Chemical Physics 22 (2020) 26682–26701.

Multi-Armed Bandits with Censored Consumption of Resources
V. Bengs, E. Hüllermeier, ArXiv:2011.00813 (2020).

CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations
T. Kühne, M. Iannuzzi, M.D. Ben, V.V. Rybkin, P. Seewald, F. Stein, T. Laino, R.Z. Khaliullin, O. Schütt, F. Schiffmann, D. Golze, J. Wilhelm, S. Chulkov, M.H.B.-H. Mohammad Hossein Bani-Hashemian, V. Weber, U. Borstnik, M. Taillefumier, A.S. Jakobovits, A. Lazzaro, H. Pabst, T. Müller, R. Schade, M. Guidon, S. Andermatt, N. Holmberg, G.K. Schenter, A. Hehn, A. Bussy, F. Belleflamme, G. Tabacchi, A. Glöß, M. Lass, I. Bethune, C.J. Mundy, C. Plessl, M. Watkins, J. VandeVondele, M. Krack, J. Hutter, The Journal of Chemical Physics 152 (2020).

A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK
M. Lass, R. Schade, T. Kühne, C. Plessl, in: Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), IEEE Computer Society, Los Alamitos, CA, USA, 2020, pp. 1127–1140.

Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite
M. Meyer, T. Kenter, C. Plessl, in: 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC), 2020.

Accurate Sampling with Noisy Forces from Approximate Computing
V. Rengaraj, M. Lass, C. Plessl, T. Kühne, Computation 8 (2020).

Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL
H. Riebler, G.F. Vaz, T. Kenter, C. Plessl, ACM Trans. Archit. Code Optim. (TACO) 16 (2019) 14:1–14:26.

OpenCL Implementation of Cannon's Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs
P. Gorlani, T. Kenter, C. Plessl, in: Proceedings of the International Conference on Field-Programmable Technology (FPT), IEEE, 2019.

Efficient parallel branch-and-bound search on FPGAs using work stealing and instance-specific designs
H. Riebler, Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs, 2019.

A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices
D. Richters, M. Lass, A. Walther, C. Plessl, T. Kühne, Communications in Computational Physics 25 (2019) 564–585.

FPGAs im Rechenzentrum
M. Platzner, C. Plessl, Informatik Spektrum (2019).

Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots
M. Lass, T. Kühne, C. Plessl, Embedded Systems Letters 10 (2018) 33–36.

A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems
A. Keller, in: D. Klusádek, W. Cirne, N. Desai (Eds.), Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), Springer, 2018, pp. 132–151.

Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate it on FPGA Platform
T. Filmwala, Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform, Universität Paderborn, 2018.

Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL
O. Gadewar, Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL, Universität Paderborn, 2018.

Sprint diagnostic with GPS and inertial sensor fusion
J.C. Mertens, A. Boschmann, M. Schmidt, C. Plessl, Sports Engineering 21 (2018) 441–451.

Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA
A. Ramaswami, Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA, Universität Paderborn, 2018.

Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities
S.M.H. Luk, P. Lewandowski, N.H. Kwong, E. Baudin, O. Lafont, J. Tignon, P.T. Leung, Ch.K.P. Chan, M. Babilon, S. Schumacher, R. Binder, Journal of the Optical Society of America B 35 (2018).

OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes
T. Kenter, G. Mahale, S. Alhaddad, Y. Grynko, C. Schmitt, A. Afzal, F. Hannig, J. Förstner, C. Plessl, in: Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2018.

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in: Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.

Automated Code Acceleration Targeting Heterogeneous OpenCL Devices
H. Riebler, G.F. Vaz, T. Kenter, C. Plessl, in: Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), ACM, 2018.

Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs
H. Riebler, M. Lass, R. Mittendorf, T. Löcke, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (2017) 24:1-24:23.

Flexible FPGA design for FDTD using OpenCL
T. Kenter, J. Förstner, C. Plessl, in: Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), IEEE, 2017.

High-Throughput and Low-Latency Network Communication with NetIO
J. Schumacher, C. Plessl, W. Vandelli, Journal of Physics: Conference Series 898 (2017).

Modeling and simulation of metallic, particle-damped spheres for lightweight materials
T. Steinle, Modeling and Simulation of Metallic, Particle-Damped Spheres for Lightweight Materials, 2016.

Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control
M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, in: Progress in Industrial Mathematics at ECMI, Springer International Publishing, Cham, 2016, pp. 633–641.

Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension
M. Lass, D. Leibenger, C. Sorge, in: Proc. 41st Conference on Local Computer Networks (LCN), IEEE, 2016.

Sicherheit von hybriden FPGA-Systemen in der industriellen Automatisierungstechnik -- Anforderungen und Umsetzung
C. Tölke, Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung, Universität Paderborn, 2016.

Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment
G. Wüllrich, Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment, Universität Paderborn, 2016.

Reconfigurable Accelerators in the World of General-Purpose Computing
T. Kenter, Reconfigurable Accelerators in the World of General-Purpose Computing, Universität Paderborn, 2016.

ReconOS
A. Agne, M. Platzner, C. Plessl, M. Happe, E. Lübbers, in: D. Koch, F. Hannig, D. Ziener (Eds.), FPGAs for Software Programmers, Springer International Publishing, Cham, 2016, pp. 227–244.

Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems
H. Riebler, G.F. Vaz, C. Plessl, E.M.G. Trainiti, G.C. Durelli, C. Bolchini, in: Proc. HiPEAC Workshop on Reonfigurable Computing (WRC), 2016.

Microdisk Cavity FDTD Simulation on FPGA using OpenCL
T. Kenter, C. Plessl, in: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC), 2016.

Using Approximate Computing in Scientific Codes
M. Lass, T. Kühne, C. Plessl, in: Workshop on Approximate Computing (AC), 2016.

Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems
H. Riebler, G.F. Vaz, C. Plessl, E.M.G. Trainiti, G.C. Durelli, E. Del Sozzo, M.D. Santambrogio, C. Bolchini, in: Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), IEEE, 2016, pp. 1–5.

Self-aware Compute Nodes
A. Agne, M. Happe, A. Lösch, C. Plessl, M. Platzner, in: Self-Aware Computing Systems, Springer International Publishing, Cham, 2016, pp. 145–165.

Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code
G.F. Vaz, H. Riebler, T. Kenter, C. Plessl, Computers and Electrical Engineering 55 (2016) 91–111.

Performance-centric scheduling with task migration for a heterogeneous compute node in the data center
A. Lösch, T. Beisel, T. Kenter, C. Plessl, M. Platzner, in: Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), EDA Consortium / IEEE, 2016, pp. 912–917.

Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract)
T. Kenter, G.F. Vaz, H. Riebler, C. Plessl, in: Workshop on Reconfigurable Computing (WRC), 2016.

Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung
S. Hegler, C. Statz, M. Mütze, H. Mooshofer, M. Goldammer, K. Fendt, S. Schwarzer, K. Feldhoff, M. Flehmig, U. Markwardt, W. E. Nagel, M. Schütte, A. Walther, M. Meinel, A. Basermann, D. Plettemeier, Tm - Technisches Messen 82 (2015) 440–450.

Self-Aware and Self-Expressive Systems – Guest Editor's Introduction
J. Torresen, C. Plessl, X. Yao, IEEE Computer 48 (2015) 18–20.

Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction
S. Peitz, M. Dellnitz, PAMM 15 (2015) 613–614.

Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing
M. Lass, Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing, Paderborn University, Paderborn, 2015.

An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications using FPGA Overlay Architectures
L. Funke, An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures, Universität Paderborn, 2015.

Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems
T. Löcke, Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems, Universität Paderborn, 2015.