Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, C. Plessl, ArXiv:2403.18374 (2024).

Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations
M. Lass, T. Kenter, C. Plessl, M. Brehm, Entropy 26 (2024).

Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures
K. Olgu, T. Kenter, J. Nunez-Yanez, S. Mcintosh-Smith, in: Proceedings of the 12th International Workshop on OpenCL and SYCL, ACM, 2024.

Scalable quantum detector tomography by high-performance computing
T. Schapeler, R. Schade, M. Lass, C. Plessl, T. Bartley, ArXiv:2404.02844 (2024).

SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations
L. Mazur, D. Bollweg, D.A. Clarke, L. Altenkort, O. Kaczmarek, R. Larsen, H.-T. Shu, J. Goswami, P. Scior, H. Sandmeyer, M. Neumann, H. Dick, S. Ali, J. Kim, C. Schmidt, P. Petreczky, S. Mukherjee, Computer Physics Communications (2023).

Viscosity of pure-glue QCD from the lattice
L. Altenkort, A.M. Eller, A. Francis, O. Kaczmarek, L. Mazur, G.D. Moore, H.-T. Shu, Physical Review D 108 (2023).

Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks
M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).

Compute Centers I: Heterogeneous Execution Environments
T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, C. Plessl, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 165–182.

Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation
J.-O. Opdenhövel, C. Plessl, T. Kenter, in: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2023.

Computing and Compressing Electron Repulsion Integrals on FPGAs
X. Wu, T. Kenter, R. Schade, T. Kühne, C. Plessl, in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173.

Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).

Hydrodynamic and Non-hydrodynamic Excitations in Kinetic Theory -- A  Numerical Analysis in Scalar Field Theory
S. Ochsenfeld, S. Schlichting, ArXiv:2308.04491 (2023).

Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of  Agents
M. Pleines, M. Pallasch, F. Zimmer, M. Preuss, ArXiv:2309.17207 (2023).

Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline
C. Alt, T. Kenter, S. Faghih-Naini, J. Faj, J.-O. Opdenhövel, C. Plessl, V. Aizinger, J. Hönig, H. Köstler, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2023.

A computation of D(9) using FPGA Supercomputing
L. Van Hirtum, P. De Causmaecker, J. Goemaere, T. Kenter, H. Riebler, M. Lass, C. Plessl, ArXiv:2304.03039 (2023).

Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes
J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023.

FPGA Acceleration for HPC Supercapacitor Simulations
C. Prouveur, M. Haefele, T. Kenter, N. Voss, in: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023.

Early time behavior of spatial and momentum anisotropies in kinetic  theory across different Knudsen numbers
N. Borghini, M. Borrell, H. Roch, ArXiv:2201.13294 (2022).

Even anisotropic-flow harmonics are from Venus, odd ones are from Mars
B. Bachmann, N. Borghini, N. Feld, H. Roch, ArXiv:2203.13306 (2022).

Linearly shifting ferromagnetic resonance response of L.7S.3MnO3 thin film for body temperature sensors
W. Hou, Y. Yao, Y. Li, B. Peng, K. Shi, Z. Zhou, J. Pan, M. Liu, J. Hu, Frontiers of Materials Science 16 (2022).

Dataset for random uniform distributions of 2D circles and 3D spheres.
M. Wojciechowski, Data Brief 43 (2022) 108318.

Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations
M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations, Universität Paderborn, Paderborn, 2022.

Bridging HPC Communities through the Julia Programming Language
V. Churavy, W.F. Godoy, C. Bauer, H. Ranocha, M. Schlottke-Lakemper, L. Räss, J. Blaschke, M. Giordano, E. Schnetter, S. Omlin, J.S. Vetter, A. Edelman, (2022).

Nonlinear down-conversion in a single quantum dot
B. Jonas, D.F. Heinze, E. Schöll, P. Kallert, T. Langer, S. Krehs, A. Widhalm, K. Jöns, D. Reuter, S. Schumacher, A. Zrenner, Nature Communications 13 (2022).

Lattice QCD noise reduction for bosonic correlators through blocking
L. Altenkort, A.M. Eller, O. Kaczmarek, L. Mazur, G.D. Moore, H.-T. Shu, Physical Review D 105 (2022).

Roadmap on Electronic Structure Codes in the Exascale Era
V. Gavini, S. Baroni, V. Blum, D.R. Bowler, A. Buccheri, J.R. Chelikowsky, S. Das, W. Dawson, P. Delugas, M. Dogan, C. Draxl, G. Galli, L. Genovese, P. Giannozzi, M. Giantomassi, X. Gonze, M. Govoni, A. Gulans, F. Gygi, J.M. Herbert, S. Kokott, T. Kühne, K.-H. Liou, T. Miyazaki, P. Motamarri, A. Nakata, J.E. Pask, C. Plessl, L.E. Ratcliff, R.M. Richard, M. Rossi, R. Schade, M. Scheffler, O. Schütt, P. Suryanarayana, M. Torrent, L. Truflandier, T.L. Windus, Q. Xu, V.W.-Z. Yu, D. Perez, ArXiv:2209.12747 (2022).

A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges
M. Karp, A. Podobas, T. Kenter, N. Jansson, C. Plessl, P. Schlatter, S. Markidis, in: International Conference on High Performance Computing in Asia-Pacific Region, ACM, 2022.

CK on the road to exascale
T. Kühne, C. Plessl, R. Schade, O. Schütt, ArXiv:2205.14741 (2022).

Parallel quantum chemistry on noisy intermediate-scale quantum computers
R. Schade, C. Bauer, K. Tamoev, L. Mazur, C. Plessl, T. Kühne, Phys. Rev. Research 4 (2022) 033160.

Roadmap on Electronic Structure Codes in the Exascale Era
V. Gavini, S. Baroni, V. Blum, D.R. Bowler, A. Buccheri, J.R. Chelikowsky, S. Das, W. Dawson, P. Delugas, M. Dogan, C. Draxl, G. Galli, L. Genovese, P. Giannozzi, M. Giantomassi, X. Gonze, M. Govoni, A. Gulans, F. Gygi, J.M. Herbert, S. Kokott, T. Kühne, K.-H. Liou, T. Miyazaki, P. Motamarri, A. Nakata, J.E. Pask, C. Plessl, L.E. Ratcliff, R.M. Richard, M. Rossi, R. Schade, M. Scheffler, O. Schütt, P. Suryanarayana, M. Torrent, L. Truflandier, T.L. Windus, Q. Xu, V.W.-Z. Yu, D. Perez, ArXiv:2209.12747 (2022).

Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms
R. Schade, T. Kenter, H. Elgabarty, M. Lass, O. Schütt, A. Lazzaro, H. Pabst, S. Mohr, J. Hutter, T. Kühne, C. Plessl, Parallel Computing 111 (2022).

In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL
M. Meyer, T. Kenter, C. Plessl, Journal of Parallel and Distributed Computing (2022).

Stable bipolarons in open quantum systems
M. Moroder, M. Grundner, F. Damanet, U. Schollwöck, S. Mardazad, S. Flannigan, T. Köhler, S. Paeckel, Physical Review B 107, 214310 (2023) (2022).

Statistical analysis of initial state and final state response in  heavy-ion collisions
N. Borghini, M. Borrell, N. Feld, H. Roch, S. Schlichting, C. Werthmann, Phys. Rev. C 107 (2023) 034905 (2022).

Plant mitochondrial RNA editing factors can perform targeted C-to-U editing of nuclear transcripts in human cells
E. Lesch, M.T. Schilling, S. Brenner, Y. Yang, O.J. Gruss, V. Knoop, M. Schallenberg-Rüdinger, Nucleic Acids Research 50 (2022) 9966–9983.

The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations
J. Menzel, C. Plessl, T. Kenter, ACM Transactions on Reconfigurable Technology and Systems 15 (2021) 1–30.

Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks
M. Meyer, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021.

Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
T. Nickchen, S. Heindorf, G. Engels, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 1994–2002.

How irreversible are steady-state trajectories of a trapped active particle?
L. Dabelow, S. Bo, R. Eichhorn, Journal of Statistical Mechanics: Theory and Experiment 2021 (2021).

Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms
R. Schade, T. Kenter, H. Elgabarty, M. Lass, O. Schütt, A. Lazzaro, H. Pabst, S. Mohr, J. Hutter, T.D. Kühne, C. Plessl, ArXiv:2104.08245 (2021).

Optimization of optical waveguide antennas for directive emission of  light
H. Farheen, T. Leuteritz, S. Linden, V. Myroshnychenko, J. Förstner, ArXiv:2106.02468 (2021).

Steady states of $9b$-type three-level systems excited by quantum  light in lossy cavities
H. Rose, O.V. Tikhonova, T. Meier, P. Sharapova, ArXiv:2109.00842 (2021).

Eigenvalue spectra of QCD and the fate of <mml:math xmlns:mml="http://www..org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>U</mml:mi><mml:mi>A</mml:mi></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> breaking towards the chiral limit
O. Kaczmarek, L. Mazur, S. Sharma, Physical Review D 104 (2021).

Heavy quark momentum diffusion from the lattice using gradient flow
L. Altenkort, A.M. Eller, O. Kaczmarek, L. Mazur, G.D. Moore, H.-T. Shu, Physical Review D 103 (2021).

Sphaleron rate from Euclidean lattice correlators: An exploration
L. Altenkort, A.M. Eller, O. Kaczmarek, L. Mazur, G.D. Moore, H.-T. Shu, Physical Review D 103 (2021).

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.

HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids
S. Alhaddad, J. Förstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig, T. Kenter, F.-J. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser, F. Wende, in: Euro-Par 2020: Parallel Processing Workshops, Cham, 2021.

Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing
A. Ramaswami, T. Kenter, T. Kühne, C. Plessl, in: Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, Cham, 2021.

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.

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

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.

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.

Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing
T. Beisel, Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing, Logos Verlag Berlin GmbH, Berlin, 2015.

Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study
T. Kenter, H. Schmitz, C. Plessl, International Journal of Reconfigurable Computing (IJRC) 2015 (2015).

Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores
M. Damschen, C. Plessl, in: Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT), 2015.

Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm
J. Schumacher, J. T. Anderson, A. Borga, H. Boterenbrood, H. Chen, K. Chen, G. Drake, D. Francis, B. Gorini, F. Lanni, G. Lehmann-Miotto, L. Levinson, J. Narevicius, C. Plessl, A. Roich, S. Ryu, F. P. Schreuder, W. Vandelli, J. Vermeulen, J. Zhang, in: Proc. Int. Conf. on Distributed Event-Based Systems (DEBS), ACM, 2015.

Aktuelles Schlagwort: Approximate Computing
C. Plessl, M. Platzner, P.J. Schreier, Informatik Spektrum (2015) 396–399.

Transparent offloading of computational hotspots from binary code to Xeon Phi
M. Damschen, H. Riebler, G.F. Vaz, C. Plessl, in: Proceedings of the 2015 Conference on Design, Automation and Test in Europe (DATE), EDA Consortium / IEEE, 2015, pp. 1078–1083.

FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades
J. Anderson, A. Borga, H. Boterenbrood, H. Chen, K. Chen, G. Drake, D. Francis, B. Gorini, F. Lanni, G. Lehmann Miotto, L. Levinson, J. Narevicius, C. Plessl, A. Roich, S. Ryu, F. Schreuder, J. Schumacher, W. Vandelli, J. Vermeulen, J. Zhang, Journal of Physics: Conference Series 664 (2015).

Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres
T. Steinle, J. Vrabec, A. Walther, in: H.G. Bock, X.P. Hoang, R. Rannacher, J.P. Schlöder (Eds.), Proc. Modeling, Simulation and Optimization of Complex Processes (HPSC), Springer International Publishing, 2014, pp. 233–243.

On Semeai Detection in Monte-Carlo Go
T. Graf, L. Schaefers, M. Platzner, in: Proc. Conf. on Computers and Games (CG), Springer, Switzerland, 2014, pp. 14–25.

Verschiebungen an der Grenze zwischen Hardware und Software
M. Platzner, C. Plessl, in: J. Künsemöller, N.O. Eke, L. Foit, T. Kaerlein (Eds.), Logiken strukturbildender Prozesse: Automatismen, Wilhelm Fink, Paderborn, 2014, pp. 123–144.