Journal papers

A Computation of the Ninth Dedekind Number Using FPGA Supercomputing

L. Van Hirtum, P. De Causmaecker, J. Goemaere, T. Kenter, H. Riebler, M. Lass, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems 17 (2024) 1–28.

DOI

Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations

M. Lass, T. Kenter, C. Plessl, M. Brehm, Entropy 26 (2024).

DOI

Noctua 2 Supercomputer

C. Bauer, T. Kenter, M. Lass, L. Mazur, M. Meyer, H. Nitsche, H. Riebler, R. Schade, M. Schwarz, N. Winnwa, A. Wiens, X. Wu, C. Plessl, J. Simon, Journal of Large-Scale Research Facilities 9 (2024).

DOI PDF

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).

DOI

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).

DOI

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).

DOI

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.

DOI

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).

DOI

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.

DOI PDF

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.

DOI

Accurate Sampling with Noisy Forces from Approximate Computing

V. Rengaraj, M. Lass, C. Plessl, T. Kühne, Computation 8 (2020).

DOI arXiv

CP2K: 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).

DOI arXiv

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.

DOI arXiv

FPGAs im Rechenzentrum

M. Platzner, C. Plessl, Informatik Spektrum (2019).

DOI PDF

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.

DOI

Sprint diagnostic with GPS and inertial sensor fusion

J.C. Mertens, A. Boschmann, M. Schmidt, C. Plessl, Sports Engineering 21 (2018) 441–451.

DOI

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.

DOI arXiv

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.

DOI

High-Throughput and Low-Latency Network Communication with NetIO

J. Schumacher, C. Plessl, W. Vandelli, Journal of Physics: Conference Series 898 (2017).

DOI

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.

DOI

Aktuelles Schlagwort: Approximate Computing

C. Plessl, M. Platzner, P.J. Schreier, Informatik Spektrum (2015) 396–399.

DOI

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).

DOI

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).

DOI

Self-Aware and Self-Expressive Systems – Guest Editor's Introduction

J. Torresen, C. Plessl, X. Yao, IEEE Computer 48 (2015) 18–20.

DOI

Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers

H. Giefers, C. Plessl, J. Förstner, ACM SIGARCH Computer Architecture News 41 (2014) 65–70.

DOI

ReconOS - An Operating System Approach for Reconfigurable Computing

A. Agne, M. Happe, A. Keller, E. Lübbers, B. Plattner, M. Platzner, C. Plessl, IEEE Micro 34 (2014) 60–71.

DOI

Self-awareness as a Model for Designing and Operating Heterogeneous Multicores

A. Agne, M. Happe, A. Lösch, C. Plessl, M. Platzner, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 7 (2014).