Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

147 Publications


2023 | Conference Paper | LibreCat-ID: 46188
Faj, Jennifer, et al. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.” Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593407.
LibreCat | Files available | DOI | Download (ext.)
 

2023 | Conference Paper | LibreCat-ID: 46189
Prouveur, Charles, et al. “FPGA Acceleration for HPC Supercapacitor Simulations.” Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593419.
LibreCat | Files available | DOI | Download (ext.)
 

2022 | Dissertation | LibreCat-ID: 32414
Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.
LibreCat | DOI
 

2022 | Preprint | LibreCat-ID: 33493
Gavini, Vikram, et al. “Roadmap on Electronic Structure Codes in the Exascale Era.” ArXiv:2209.12747, 2022.
LibreCat | arXiv
 

2022 | Conference Paper | LibreCat-ID: 46193 | OA
Karp, Martin, et al. “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.” International Conference on High Performance Computing in Asia-Pacific Region, ACM, 2022, doi:10.1145/3492805.3492808.
LibreCat | DOI | Download (ext.)
 

2022 | Preprint | LibreCat-ID: 32404
Kühne, Thomas, et al. “CP2K on the Road to Exascale.” ArXiv:2205.14741, 2022.
LibreCat | Download (ext.) | arXiv
 

2022 | Journal Article | LibreCat-ID: 33226 | OA
Schade, Robert, et al. “Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers.” Phys. Rev. Research, vol. 4, American Physical Society, 2022, p. 033160, doi:10.1103/PhysRevResearch.4.033160.
LibreCat | DOI | Download (ext.)
 

2022 | Journal Article | LibreCat-ID: 33684 | OA
Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.
LibreCat | DOI | Download (ext.)
 

2022 | Journal Article | LibreCat-ID: 27364
Meyer, Marius, et al. “In-Depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs Using OpenCL.” Journal of Parallel and Distributed Computing, 2022, doi:10.1016/j.jpdc.2021.10.007.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 28099 | OA
Menzel, Johannes, et al. “The Strong Scaling Advantage of FPGAs in HPC for N-Body Simulations.” ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, 2021, pp. 1–30, doi:10.1145/3491235.
LibreCat | DOI | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 46195
Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.” Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.
LibreCat | Files available | DOI
 

2021 | Book Chapter | LibreCat-ID: 29936
Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.” Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 24788 | OA
Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.” Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.
LibreCat | Files available | DOI
 

2021 | Conference Paper | LibreCat-ID: 29937
Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 46194
Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.” Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021, doi:10.1145/3468267.3470617.
LibreCat | Files available | DOI | Download (ext.)
 

2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, Thomas, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 

2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, et al. “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K.” Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), IEEE Computer Society, 2020, pp. 1127–40, doi:10.1109/SC41405.2020.00084.
LibreCat | DOI | Download (ext.) | arXiv
 

2020 | Conference Paper | LibreCat-ID: 21632
Meyer, Marius, et al. “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite.” 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC), 2020, doi:10.1109/h2rc51942.2020.00007.
LibreCat | Files available | DOI | Download (ext.)
 

2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 

Filters and Search Terms

department=518

Search

Filter Publications

Display / Sort

Citation Style: MLA

Export / Embed