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2021 | Conference Paper | LibreCat-ID: 20886
T. Nickchen, S. Heindorf, and G. Engels, “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, Hawaii, 2021, pp. 1994–2002.LibreCat
2020 | Conference Paper | LibreCat-ID: 21632
M. Meyer, T. Kenter, and C. Plessl, “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), 2020.LibreCat | Files available | DOI | Download (ext.)
2020 | Conference Paper | LibreCat-ID: 16898
M. Lass, R. Schade, T. Kühne, and C. Plessl, “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), Atlanta, GA, US, 2020, pp. 1127–1140.LibreCat | DOI | arXiv
2020 | Conference Paper | LibreCat-ID: 16852
S. Groth, D. Grünewald, J. Teich, and F. Hannig, “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, 2020.LibreCat | DOI
2019 | Conference Paper | LibreCat-ID: 15478
P. Gorlani, T. Kenter, and C. Plessl, “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2019.LibreCat | Files available | DOI
2018 | Conference Paper | LibreCat-ID: 1590
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, and C. Plessl, “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, Basel, Switzerland, 2018.LibreCat | DOI | arXiv