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263 Publications


2021 | Preprint | LibreCat-ID: 21732
Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., … Plessl, C. (2021). Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms.
LibreCat | arXiv
 

2021 | Conference Paper | LibreCat-ID: 20886
Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1994–2002). Hawaii.
LibreCat
 

2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., … Wende, F. (2021). HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In Euro-Par 2020: Parallel Processing Workshops. Cham. https://doi.org/10.1007/978-3-030-71593-9_15
LibreCat | Files available | DOI
 

2021 | Journal Article | LibreCat-ID: 24788
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., & Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616. https://doi.org/10.1002/cpe.6616
LibreCat | Files available | DOI
 

2020 | Book Chapter | LibreCat-ID: 18789
Nickchen, T., Engels, G., & Lohn, J. (2020). Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain. In Industrializing Additive Manufacturing. Cham. https://doi.org/10.1007/978-3-030-54334-1_4
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 16277
Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., … Hutter, J. (2020). CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19). https://doi.org/10.1063/5.0007045
LibreCat | Files available | DOI | Download (ext.) | arXiv
 

2020 | Conference Paper | LibreCat-ID: 21632
Meyer, M., Kenter, T., & Plessl, C. (2020). Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. In 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC). https://doi.org/10.1109/h2rc51942.2020.00007
LibreCat | Files available | DOI | Download (ext.)
 

2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. In Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC) (pp. 1127–1140). Los Alamitos, CA, USA: IEEE Computer Society. https://doi.org/10.1109/SC41405.2020.00084
LibreCat | DOI | arXiv
 

2020 | Journal Article | LibreCat-ID: 12878
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2). https://doi.org/10.3390/computation8020039
LibreCat | DOI | Download (ext.) | arXiv
 

2020 | Conference Paper | LibreCat-ID: 16852
Groth, S., Grünewald, D., Teich, J., & Hannig, F. (2020). A Runtime System for Finite Element Methods in a Partitioned Global Address Space. In Proceedings of the 17th ACM International Conference on Computing Frontiers (CF ’2020). Catania, Sicily, Italy: ACM. https://doi.org/10.1145/3387902.3392628
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 12871
Platzner, M., & Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum. https://doi.org/10.1007/s00287-019-01187-w
LibreCat | Files available | DOI
 

2019 | Journal Article | LibreCat-ID: 7689
Riebler, H., Vaz, G. F., Kenter, T., & Plessl, C. (2019). Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans. Archit. Code Optim. (TACO), 16(2), 14:1–14:26. https://doi.org/10.1145/3319423
LibreCat | Files available | DOI
 

2019 | Conference Paper | LibreCat-ID: 15478
Gorlani, P., Kenter, T., & Plessl, C. (2019). OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs. In Proceedings of the International Conference on Field-Programmable Technology (FPT). IEEE. https://doi.org/10.1109/ICFPT47387.2019.00020
LibreCat | Files available | DOI
 

2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 

2018 | Journal Article | LibreCat-ID: 6516
Mertens, J. C., Boschmann, A., Schmidt, M., & Plessl, C. (2018). Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering, 21(4), 441–451. https://doi.org/10.1007/s12283-018-0291-0
LibreCat | Files available | DOI
 

2018 | Journal Article | LibreCat-ID: 20
Lass, M., Kühne, T., & Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36. https://doi.org/10.1109/LES.2017.2760923
LibreCat | DOI | arXiv
 

2018 | Conference Paper | LibreCat-ID: 1204
Riebler, H., Vaz, G. F., Kenter, T., & Plessl, C. (2018). Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. In Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). ACM. https://doi.org/10.1145/3178487.3178534
LibreCat | Files available | DOI
 

2018 | Conference Paper | LibreCat-ID: 1588
Kenter, T., Mahale, G., Alhaddad, S., Grynko, Y., Schmitt, C., Afzal, A., … Plessl, C. (2018). OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. In Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). IEEE. https://doi.org/10.1109/FCCM.2018.00037
LibreCat | Files available | DOI
 

2018 | Conference Paper | LibreCat-ID: 1590
Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM. https://doi.org/10.1145/3218176.3218231
LibreCat | DOI | arXiv
 

2018 | Conference Paper | LibreCat-ID: 22
Keller, A. (2018). A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In D. Klusáček, W. Cirne, & N. Desai (Eds.), Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) (Vol. 10773, pp. 132–151). Orlando, FL, USA: Springer. https://doi.org/10.1007/978-3-319-77398-8_8
LibreCat | DOI
 

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