Hou W, Yao Y, Li Y, et al. Linearly shifting ferromagnetic resonance response of L.7Sr0.3MnO3 thin film for body temperature sensors. Frontiers of materials science. 2022;16(1).
LibreCat: /record/32183

Wojciechowski M. Dataset for random uniform distributions of 2D circles and 3D spheres. Data Brief. 2022;43:108318.
LibreCat: /record/32234
PMID: 35677623

Lass M. 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: /record/32414
DOI: 10.17619/UNIPB/1-1281

Churavy V, Godoy WF, Bauer C, et al. Bridging HPC Communities through the Julia Programming Language. Published online 2022.
LibreCat: /record/36879

Jonas B, Heinze DF, Schöll E, et al. Nonlinear down-conversion in a single quantum dot. Nature Communications. 2022;13(1). doi:10.1038/s41467-022-28993-3
LibreCat: /record/40523
DOI: 10.1038/s41467-022-28993-3

Altenkort L, Eller AM, Kaczmarek O, Mazur L, Moore GD, Shu H-T. Lattice QCD noise reduction for bosonic correlators through blocking. Physical Review D. 2022;105(9). doi:10.1103/physrevd.105.094505
LibreCat: /record/46121
DOI: 10.1103/physrevd.105.094505

Gavini V, Baroni S, Blum V, et al. Roadmap on Electronic Structure Codes in the Exascale Era. arXiv:220912747. Published online 2022.
LibreCat: /record/33493
arXiv: 2209.12747

Karp M, Podobas A, Kenter T, et al. A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. In: International Conference on High Performance Computing in Asia-Pacific Region. ACM; 2022. doi:10.1145/3492805.3492808
LibreCat: /record/46193
DOI: 10.1145/3492805.3492808

Kühne T, Plessl C, Schade R, Schütt O. CK on the road to exascale. arXiv:220514741. Published online 2022.
LibreCat: /record/32404
arXiv: 2205.14741

Schade R, Bauer C, Tamoev K, Mazur L, Plessl C, Kühne T. Parallel quantum chemistry on noisy intermediate-scale quantum computers. Phys Rev Research. 2022;4:033160. doi:10.1103/PhysRevResearch.4.033160
LibreCat: /record/33226
DOI: 10.1103/PhysRevResearch.4.033160

Gavini V, Baroni S, Blum V, et al. Roadmap on Electronic Structure Codes in the Exascale Era. arXiv:220912747. Published online 2022.
LibreCat: /record/46275
arXiv: 2209.12747

Schade R, Kenter T, Elgabarty H, et al. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 2022;111. doi:10.1016/j.parco.2022.102920
LibreCat: /record/33684
DOI: 10.1016/j.parco.2022.102920

Meyer M, Kenter T, Plessl C. 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. Published online 2022. doi:10.1016/j.jpdc.2021.10.007
LibreCat: /record/27364
DOI: 10.1016/j.jpdc.2021.10.007

Moroder M, Grundner M, Damanet F, et al. Stable bipolarons in open quantum systems. Physical Review B 107, 214310 (2023). Published online 2022. doi:10.1103/PhysRevB.107.214310
LibreCat: /record/50146
DOI: 10.1103/PhysRevB.107.214310
arXiv: 2207.08243

Borghini N, Borrell M, Feld N, Roch H, Schlichting S, Werthmann C. Statistical analysis of initial state and final state response in  heavy-ion collisions. Phys Rev C 107 (2023) 034905. Published online 2022. doi:10.1103/PhysRevC.107.034905
LibreCat: /record/50148
DOI: 10.1103/PhysRevC.107.034905
arXiv: 2209.01176

Lesch E, Schilling MT, Brenner S, et al. Plant mitochondrial RNA editing factors can perform targeted C-to-U editing of nuclear transcripts in human cells. Nucleic Acids Research. 2022;50(17):9966-9983. doi:10.1093/nar/gkac752
LibreCat: /record/50149
DOI: 10.1093/nar/gkac752

Menzel J, Plessl C, Kenter T. The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems. 2021;15(1):1-30. doi:10.1145/3491235
LibreCat: /record/28099
DOI: 10.1145/3491235

Meyer M. Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks. In: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ; 2021. doi:10.1145/3468044.3468058
LibreCat: /record/27365
DOI: 10.1145/3468044.3468058

Nickchen T, Heindorf S, Engels G. 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. ; 2021:1994-2002.
LibreCat: /record/20886

Dabelow L, Bo S, Eichhorn R. How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment. 2021;2021(3). doi:10.1088/1742-5468/abe6fd
LibreCat: /record/32243
DOI: 10.1088/1742-5468/abe6fd

Schade R, Kenter T, Elgabarty H, et al. Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms. arXiv:210408245. Published online 2021.
LibreCat: /record/32244
arXiv: 2104.08245

Farheen H, Leuteritz T, Linden S, Myroshnychenko V, Förstner J. Optimization of optical waveguide antennas for directive emission of  light. arXiv:210602468. Published online 2021.
LibreCat: /record/32245
arXiv: 2106.02468

Rose H, Tikhonova OV, Meier T, Sharapova P. Steady states of $9b$-type three-level systems excited by quantum  light in lossy cavities. arXiv:210900842. Published online 2021.
LibreCat: /record/32236
arXiv: 2109.00842

Kaczmarek O, Mazur L, Sharma S. Eigenvalue spectra of QCD and the fate of &;mml:math xmlns:mml="http://www..org/1998/Math/MathML" display="inline"&;&;mml:msub&;&;mml:mi&;U&;/mml:mi&;&;mml:mi&;A&;/mml:mi&;&;/mml:msub&;&;mml:mo stretchy="false"&;(&;/mml:mo&;&;mml:mn&;1&;/mml:mn&;&;mml:mo stretchy="false"&;)&;/mml:mo&;&;/mml:math&; breaking towards the chiral limit. Physical Review D. 2021;104(9). doi:10.1103/physrevd.104.094518
LibreCat: /record/46122
DOI: 10.1103/physrevd.104.094518

Altenkort L, Eller AM, Kaczmarek O, Mazur L, Moore GD, Shu H-T. Heavy quark momentum diffusion from the lattice using gradient flow. Physical Review D. 2021;103(1). doi:10.1103/physrevd.103.014511
LibreCat: /record/46124
DOI: 10.1103/physrevd.103.014511

Altenkort L, Eller AM, Kaczmarek O, Mazur L, Moore GD, Shu H-T. Sphaleron rate from Euclidean lattice correlators: An exploration. Physical Review D. 2021;103(11). doi:10.1103/physrevd.103.114513
LibreCat: /record/46123
DOI: 10.1103/physrevd.103.114513

Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116
LibreCat: /record/46195
DOI: 10.1109/ipdps49936.2021.00116

Alhaddad S, Förstner J, Groth S, et al. HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In: Euro-Par 2020: Parallel Processing Workshops. ; 2021. doi:10.1007/978-3-030-71593-9_15
LibreCat: /record/21587
DOI: 10.1007/978-3-030-71593-9_15

Ramaswami A, Kenter T, Kühne T, Plessl C. Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing; 2021. doi:10.1007/978-3-030-79025-7_21
LibreCat: /record/29936
DOI: 10.1007/978-3-030-79025-7_21

Alhaddad S, Förstner J, Groth S, et al. The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience. Published online 2021:e6616. doi:10.1002/cpe.6616
LibreCat: /record/24788
DOI: 10.1002/cpe.6616

Chatwell RS, Guevara-Carrion G, Gaponenko Y, Shevtsova V, Vrabec J. Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics. 2021;23(4):3106-3115. doi:10.1039/d0cp04985a
LibreCat: /record/32240
DOI: 10.1039/d0cp04985a

Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116
LibreCat: /record/29937
DOI: 10.1109/ipdps49936.2021.00116

Kenter T, Shambhu A, Faghih-Naini S, Aizinger V. Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. In: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM; 2021. doi:10.1145/3468267.3470617
LibreCat: /record/46194
DOI: 10.1145/3468267.3470617

Nickchen T, Engels G, Lohn J. Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain. In: Industrializing Additive Manufacturing. Cham; 2020. doi:10.1007/978-3-030-54334-1_4
LibreCat: /record/18789
DOI: 10.1007/978-3-030-54334-1_4

Mirhosseini H, Kormath Madam Raghupathy R, Sahoo SK, Wiebeler H, Chugh M, Kühne TD. In silico investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells. Physical Chemistry Chemical Physics. 2020;22(46):26682-26701. doi:10.1039/d0cp04712k
LibreCat: /record/32246
DOI: 10.1039/d0cp04712k

Bengs V, Hüllermeier E. Multi-Armed Bandits with Censored Consumption of Resources. arXiv:201100813. Published online 2020.
LibreCat: /record/32242
arXiv: 2011.00813

Kühne T, Iannuzzi M, Ben MD, et al. CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
LibreCat: /record/16277
DOI: 10.1063/5.0007045
arXiv: 2003.03868

Lass M, Schade R, Kühne T, Plessl C. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK. In: Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
LibreCat: /record/16898
DOI: 10.1109/SC41405.2020.00084
arXiv: 2004.10811

Meyer M, Kenter T, Plessl C. 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 (RC). ; 2020. doi:10.1109/h2rc51942.2020.00007
LibreCat: /record/21632
DOI: 10.1109/h2rc51942.2020.00007

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.
LibreCat: /record/33

Dellnitz M, Eckstein J, Flaßkamp K, et al. Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In: Progress in Industrial Mathematics at ECMI. Vol 22. Mathematics in Industry. Cham: Springer International Publishing; 2016:633-641. doi:10.1007/978-3-319-23413-7_87
LibreCat: /record/34
DOI: 10.1007/978-3-319-23413-7_87

Lass M, Leibenger D, Sorge C. Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In: Proc. 41st Conference on Local Computer Networks (LCN). IEEE; 2016. doi:10.1109/lcn.2016.11
LibreCat: /record/19
DOI: 10.1109/lcn.2016.11

Tölke C. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn; 2016.
LibreCat: /record/5418

Wüllrich G. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn; 2016.
LibreCat: /record/5420

Kenter T. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn; 2016.
LibreCat: /record/161

Agne A, Platzner M, Plessl C, Happe M, Lübbers E. ReconOS. In: Koch D, Hannig F, Ziener D, eds. FPGAs for Software Programmers. Springer International Publishing; 2016:227-244. doi:10.1007/978-3-319-26408-0_13
LibreCat: /record/29
DOI: 10.1007/978-3-319-26408-0_13

Riebler H, Vaz GF, Plessl C, Trainiti EMG, Durelli GC, Bolchini C. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proc. HiPEAC Workshop on Reonfigurable Computing (WRC). ; 2016.
LibreCat: /record/31

Kenter T, Plessl C. Microdisk Cavity FDTD Simulation on FPGA using OpenCL. In: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2016.
LibreCat: /record/24

Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
LibreCat: /record/25

Riebler H, Vaz GF, Plessl C, et al. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI). IEEE; 2016:1-5. doi:10.1109/RTSI.2016.7740545
LibreCat: /record/138
DOI: 10.1109/RTSI.2016.7740545

Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-aware Compute Nodes. In: Self-Aware Computing Systems. Natural Computing Series (NCS). Springer International Publishing; 2016:145-165. doi:10.1007/978-3-319-39675-0_8
LibreCat: /record/156
DOI: 10.1007/978-3-319-39675-0_8

Vaz GF, Riebler H, Kenter T, Plessl C. Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering. 2016;55:91-111. doi:10.1016/j.compeleceng.2016.04.021
LibreCat: /record/165
DOI: 10.1016/j.compeleceng.2016.04.021

Lösch A, Beisel T, Kenter T, Plessl C, Platzner M. Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. In: Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). EDA Consortium / IEEE; 2016:912-917.
LibreCat: /record/168

Kenter T, Vaz GF, Riebler H, Plessl C. Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). In: Workshop on Reconfigurable Computing (WRC). ; 2016.
LibreCat: /record/171

Hegler S, Statz C, Mütze M, et al. Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung. tm - Technisches Messen. 2015;82(9):440-450. doi:doi:10.1515/teme-2015-0031
LibreCat: /record/1769
DOI: doi:10.1515/teme-2015-0031

Torresen J, Plessl C, Yao X. Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction. IEEE Computer. 2015;48(7):18-20. doi:10.1109/MC.2015.205
LibreCat: /record/1772
DOI: 10.1109/MC.2015.205

Peitz S, Dellnitz M. Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. PAMM. 2015;15(1):613-614. doi:10.1002/pamm.201510296
LibreCat: /record/1774
DOI: 10.1002/pamm.201510296

Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
LibreCat: /record/1794

Funke L. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn; 2015.
LibreCat: /record/5413

Löcke T. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn; 2015.
LibreCat: /record/5416

Wallaschek F. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn; 2015.
LibreCat: /record/5419

Beisel T. Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH; 2015.
LibreCat: /record/10624

Kenter T, Schmitz H, Plessl C. Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC). 2015;2015. doi:10.1155/2015/859425
LibreCat: /record/296
DOI: 10.1155/2015/859425

Damschen M, Plessl C. Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores. In: Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT). ; 2015.
LibreCat: /record/303
arXiv: 1412.3906

Schumacher J, T. Anderson J, Borga A, et al. Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm. In: Proc. Int. Conf. on Distributed Event-Based Systems (DEBS). ACM; 2015. doi:10.1145/2675743.2771824
LibreCat: /record/1773
DOI: 10.1145/2675743.2771824

Plessl C, Platzner M, Schreier PJ. Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum. 2015;(5):396-399. doi:10.1007/s00287-015-0911-z
LibreCat: /record/1768
DOI: 10.1007/s00287-015-0911-z

Damschen M, Riebler H, Vaz GF, Plessl C. Transparent offloading of computational hotspots from binary code to Xeon Phi. In: Proceedings of the 2015 Conference on Design, Automation and Test in Europe (DATE). EDA Consortium / IEEE; 2015:1078-1083. doi:10.7873/DATE.2015.1124
LibreCat: /record/238
DOI: 10.7873/DATE.2015.1124

Anderson J, Borga A, Boterenbrood H, et al. FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades. Journal of Physics: Conference Series. 2015;664. doi:10.1088/1742-6596/664/8/082050
LibreCat: /record/1775
DOI: 10.1088/1742-6596/664/8/082050

Steinle T, Vrabec J, Walther A. Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres. In: Bock HG, Hoang XP, Rannacher R, Schlöder JP, eds. Proc. Modeling, Simulation and Optimization of Complex Processes (HPSC). Springer International Publishing; 2014:233-243. doi:10.1007/978-3-319-09063-4_19
LibreCat: /record/1781
DOI: 10.1007/978-3-319-09063-4_19

Graf T, Schaefers L, Platzner M. On Semeai Detection in Monte-Carlo Go. In: Proc. Conf. on Computers and Games (CG). Lecture Notes in Computer Science. Switzerland: Springer; 2014:14-25. doi:10.1007/978-3-319-09165-5_2
LibreCat: /record/1782
DOI: 10.1007/978-3-319-09165-5_2

Platzner M, Plessl C. Verschiebungen an der Grenze zwischen Hardware und Software. In: Künsemöller J, Eke NO, Foit L, Kaerlein T, eds. Logiken strukturbildender Prozesse: Automatismen. Schriftenreihe des Graduiertenkollegs “Automatismen.” Wilhelm Fink; 2014:123-144.
LibreCat: /record/335

Kenter T, Vaz GF, Plessl C. Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer. In: Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC). Vol 8405. Lecture Notes in Computer Science (LNCS). Springer International Publishing; 2014:144-155. doi:10.1007/978-3-319-05960-0_13
LibreCat: /record/388
DOI: 10.1007/978-3-319-05960-0_13

Agne A, Hangmann H, Happe M, Platzner M, Plessl C. Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems. 2014;38(8, Part B):911-919. doi:10.1016/j.micpro.2013.12.001
LibreCat: /record/363
DOI: 10.1016/j.micpro.2013.12.001

Riebler H, Kenter T, Plessl C, Sorge C. Reconstructing AES Key Schedules from Decayed Memory with FPGAs. In: Proceedings of Field-Programmable Custom Computing Machines (FCCM). IEEE; 2014:222-229. doi:10.1109/FCCM.2014.67
LibreCat: /record/377
DOI: 10.1109/FCCM.2014.67

Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2014;7(2). doi:10.1145/2617596
LibreCat: /record/365
DOI: 10.1145/2617596

Agne A, Happe M, Keller A, et al. ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro. 2014;34(1):60-71. doi:10.1109/MM.2013.110
LibreCat: /record/328
DOI: 10.1109/MM.2013.110

C. Durelli G, Pogliani M, Miele A, et al. Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. In: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA). IEEE; 2014:142-149. doi:10.1109/ISPA.2014.27
LibreCat: /record/1778
DOI: 10.1109/ISPA.2014.27

Vaz GF, Riebler H, Kenter T, Plessl C. Deferring Accelerator Offloading Decisions to Application Runtime. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032509
LibreCat: /record/439
DOI: 10.1109/ReConFig.2014.7032509

Kenter T, Schmitz H, Plessl C. Kernel-Centric Acceleration of High Accuracy Stereo-Matching. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032535
LibreCat: /record/406
DOI: 10.1109/ReConFig.2014.7032535

C. Durelli G, Copolla M, Djafarian K, et al. SAVE: Towards efficient resource management in heterogeneous system architectures. In: Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC). Springer; 2014. doi:10.1007/978-3-319-05960-0_38
LibreCat: /record/1780
DOI: 10.1007/978-3-319-05960-0_38

Giefers H, Plessl C, Förstner J. Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News. 2014;41(5):65-70. doi:10.1145/2641361.2641372
LibreCat: /record/1779
DOI: 10.1145/2641361.2641372