Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

Riebler H, Vaz GF, Kenter T, Plessl C. Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans Archit Code Optim (TACO). 2019;16(2):14:1–14:26. doi:10.1145/3319423
LibreCat: /record/7689
DOI: 10.1145/3319423

Gorlani P, Kenter T, Plessl C. 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; 2019. doi:10.1109/ICFPT47387.2019.00020
LibreCat: /record/15478
DOI: 10.1109/ICFPT47387.2019.00020

Riebler H. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs.; 2019. doi:10.17619/UNIPB/1-830
LibreCat: /record/34167
DOI: 10.17619/UNIPB/1-830

Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Platzner M, Plessl C. FPGAs im Rechenzentrum. Informatik Spektrum. Published online 2019. doi:10.1007/s00287-019-01187-w
LibreCat: /record/12871
DOI: 10.1007/s00287-019-01187-w

Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi:10.1109/LES.2017.2760923
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

Keller A. A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In: Klusádek D, Cirne W, Desai N, eds. Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP). Vol 10773. Lecture Notes in Computer Science. Springer; 2018:132-151. doi:10.1007/978-3-319-77398-8_8
LibreCat: /record/22
DOI: 10.1007/978-3-319-77398-8_8

Filmwala T. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn; 2018.
LibreCat: /record/5414

Gadewar O. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn; 2018.
LibreCat: /record/5421

Mertens JC, Boschmann A, Schmidt M, Plessl C. Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering. 2018;21(4):441-451. doi:10.1007/s12283-018-0291-0
LibreCat: /record/6516
DOI: 10.1007/s12283-018-0291-0

Ramaswami A. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn; 2018.
LibreCat: /record/5417

Luk SMH, Lewandowski P, Kwong NH, et al. Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities. Journal of the Optical Society of America B. 2018;35(1). doi:10.1364/josab.35.000146
LibreCat: /record/13348
DOI: 10.1364/josab.35.000146

Kenter T, Mahale G, Alhaddad S, et al. 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; 2018. doi:10.1109/FCCM.2018.00037
LibreCat: /record/1588
DOI: 10.1109/FCCM.2018.00037

Lass M, Mohr S, Wiebeler H, Kühne T, Plessl C. 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. ACM; 2018. doi:10.1145/3218176.3218231
LibreCat: /record/1590
DOI: 10.1145/3218176.3218231
arXiv: 1710.10899

Riebler H, Vaz GF, Kenter T, Plessl C. Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. In: Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). ACM; 2018. doi:10.1145/3178487.3178534
LibreCat: /record/1204
DOI: 10.1145/3178487.3178534

Riebler H, Lass M, Mittendorf R, Löcke T, Plessl C. Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2017;10(3):24:1-24:23. doi:10.1145/3053687
LibreCat: /record/18
DOI: 10.1145/3053687

Kenter T, Förstner J, Plessl C. Flexible FPGA design for FDTD using OpenCL. In: Proc. Int. Conf. on Field Programmable Logic and Applications (FPL). IEEE; 2017. doi:10.23919/FPL.2017.8056844
LibreCat: /record/1592
DOI: 10.23919/FPL.2017.8056844

Schumacher J, Plessl C, Vandelli W. High-Throughput and Low-Latency Network Communication with NetIO. Journal of Physics: Conference Series. 2017;898. doi:10.1088/1742-6596/898/8/082003
LibreCat: /record/1589
DOI: 10.1088/1742-6596/898/8/082003

Steinle T. Modeling and Simulation of Metallic, Particle-Damped Spheres for Lightweight Materials.; 2016.
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