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.

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).

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

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).

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.