@article{1779,
  author       = {{Giefers, Heiner and Plessl, Christian and Förstner, Jens}},
  issn         = {{0163-5964}},
  journal      = {{ACM SIGARCH Computer Architecture News}},
  keywords     = {{funding-maxup, tet_topic_hpc}},
  number       = {{5}},
  pages        = {{65--70}},
  publisher    = {{ACM}},
  title        = {{{Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers}}},
  doi          = {{10.1145/2641361.2641372}},
  volume       = {{41}},
  year         = {{2014}},
}

@phdthesis{11619,
  abstract     = {{Reconfigurable circuit devices have opened up a fundamentally new way of creating adaptable systems. Combined with artificial evolution, reconfigurable circuits allow an elegant adaptation approach to compensating for changes in the distribution of input data, computational resource errors, and variations in resource requirements. Referred to as ``Evolvable Hardware'' (EHW), this paradigm has yielded astonishing results for traditional engineering challenges and has discovered intriguing design principles, which have not yet been seen in conventional engineering.

In this thesis, we present new and fundamental work on Evolvable Hardware motivated by the insight that Evolvable Hardware needs to compensate for events with different change rates. To solve the challenge of different adaptation speeds, we propose a unified adaptation approach based on multi-objective evolution, evolving and propagating candidate solutions that are diverse in objectives that may experience radical changes.

Focusing on algorithmic aspects, we enable Cartesian Genetic Programming (CGP) model, which we are using to encode Boolean circuits, for multi-objective optimization by introducing a meaningful recombination operator. We improve the scalability of CGP by objectives scaling, periodization of local- and global-search algorithms, and the automatic acquisition and reuse of subfunctions using age- and cone-based techniques. We validate our methods on the applications of adaptation of hardware classifiers to resource changes, recognition of muscular signals for prosthesis control and optimization of processor caches.}},
  author       = {{Kaufmann, Paul}},
  isbn         = {{978-3-8325-3530-8}},
  pages        = {{249}},
  publisher    = {{Logos Verlag Berlin GmbH}},
  title        = {{{Adapting Hardware Systems by Means of Multi-Objective Evolution}}},
  year         = {{2013}},
}

@inproceedings{1786,
  author       = {{Kasap, Server and Redif, Soydan}},
  booktitle    = {{Proc. IEEE Signal Processing and Communications Conf. (SUI)}},
  publisher    = {{IEEE}},
  title        = {{{FPGA Implementation of a Second-Order Convolutive Blind Signal Separation Algorithm}}},
  doi          = {{10.1109/SIU.2013.6531530}},
  year         = {{2013}},
}

@article{1792,
  author       = {{Kasap, Server and Redif, Soydan}},
  journal      = {{IEEE Trans. on Very Large Scale Integration (VLSI) Systems}},
  number       = {{3}},
  pages        = {{522--536}},
  publisher    = {{IEEE}},
  title        = {{{Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices}}},
  doi          = {{10.1109/TVLSI.2013.2248069}},
  volume       = {{22}},
  year         = {{2013}},
}

@phdthesis{501,
  abstract     = {{Handling run-time dynamics on embedded system-on-chip architectures has become more challenging over the years. On the one hand, the impact of workload and physical dynamics on the system behavior has dramatically increased. On the other hand, embedded architectures have become more complex as they have evolved from single-processor systems over multi-processor systems to hybrid multi-core platforms.Static design-time techniques no longer provide suitable solutions to deal with the run-time dynamics of today's embedded systems. Therefore, system designers have to apply run-time solutions, which have hardly been investigated for hybrid multi-core platforms.In this thesis, we present fundamental work in the new area of run-time management on hybrid multi-core platforms. We propose a novel architecture, a self-adaptive hybrid multi-core system, that combines heterogeneous processors, reconfigurable hardware cores, and monitoring cores on a single chip. Using self-adaptation on thread-level, our hybrid multi-core systems can effectively perform performance and thermal management autonomously at run-time. }},
  author       = {{Happe, Markus}},
  isbn         = {{978-3-8325-3425-7}},
  pages        = {{220}},
  publisher    = {{Logos Verlag Berlin GmbH}},
  title        = {{{Performance and thermal management on self-adaptive hybrid multi-cores}}},
  year         = {{2013}},
}

@article{10604,
  author       = {{Happe, Markus and Lübbers, Enno and Platzner, Marco}},
  journal      = {{International Journal of Real-time Image Processing}},
  number       = {{1}},
  pages        = {{95 -- 110}},
  publisher    = {{Springer}},
  title        = {{{A Self-adaptive Heterogeneous Multi-core Architecture for Embedded Real-time Video Object Tracking}}},
  doi          = {{doi:10.1007/s11554-011-0212-y}},
  volume       = {{8}},
  year         = {{2013}},
}

@inproceedings{10620,
  author       = {{Anwer, Jahanzeb and Meisner, Sebastian and Platzner, Marco}},
  booktitle    = {{Reconfigurable Computing and FPGAs (ReConFig), 2013 International Conference on}},
  keywords     = {{fault tolerant computing, field programmable gate arrays, logic design, reliability, BYU-LANL tool, DRM tool flow, FPGA based hardware designs, avionic application, device technologies, dynamic reliability management, fault-tolerant operation, hardware designs, reconfiguring reliability levels, space applications, Field programmable gate arrays, Hardware, Redundancy, Reliability engineering, Runtime, Tunneling magnetoresistance}},
  pages        = {{1--6}},
  title        = {{{Dynamic reliability management: Reconfiguring reliability-levels of hardware designs at runtime}}},
  doi          = {{10.1109/ReConFig.2013.6732280}},
  year         = {{2013}},
}

@misc{10626,
  author       = {{Bick, Christian}},
  publisher    = {{Paderborn University}},
  title        = {{{Beschleunigung von Tiefenberechnung aus Stereobildern durch FPGA-basierte Datenflussrechner}}},
  year         = {{2013}},
}

@inproceedings{10634,
  author       = {{Boschmann, Alexander and Nofen, Barbara and Platzner, Marco}},
  booktitle    = {{Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC)}},
  title        = {{{Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes}}},
  year         = {{2013}},
}

@inproceedings{10635,
  author       = {{Boschmann, Alexander and Platzner, Marco}},
  booktitle    = {{Proc. IEEE ISSNIP Biosignals and Biorobotics Conference (BRC)}},
  title        = {{{Reducing the limb position effect in pattern recognition based myoelectric control using a high density electrode array}}},
  year         = {{2013}},
}

@inproceedings{10655,
  author       = {{Glette, Kyrre and Kaufmann, Paul and Assad, Christopher and Wolf, Michael}},
  booktitle    = {{IEEE Intl. Conf. on Evolvable Systems (ICES)}},
  pages        = {{1--1}},
  publisher    = {{Springer}},
  title        = {{{Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface}}},
  volume       = {{1}},
  year         = {{2013}},
}

@book{10681,
  author       = {{Kaufmann, Paul}},
  publisher    = {{Logos Verlag}},
  title        = {{{Adapting Hardware Systems by Means of Multi-Objective Evolution}}},
  year         = {{2013}},
}

@article{10684,
  author       = {{Kaufmann, Paul and Glette, Kyrre and Gruber, Tiemo and Platzner, Marco and Torresen, Jim and Sick, Bernhard}},
  journal      = {{IEEE Transactions on Evolutionary Computation}},
  number       = {{1}},
  pages        = {{46--63}},
  title        = {{{Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers}}},
  doi          = {{10.1109/TEVC.2012.2185845}},
  volume       = {{17}},
  year         = {{2013}},
}

@misc{10700,
  author       = {{Knoop, Michael}},
  publisher    = {{IWES Kassel}},
  title        = {{{Behavior Models for Electric Vehicles}}},
  year         = {{2013}},
}

@misc{10720,
  author       = {{Nofen, Barbara}},
  publisher    = {{Paderborn University}},
  title        = {{{Verbesserung der Erkennungsrate eines Systems zur Klassifikation von EMG-Signalen durch den Einsatz eines hybriden Lagesensors}}},
  year         = {{2013}},
}

@misc{10727,
  author       = {{Pudelko, Daniel}},
  publisher    = {{Paderborn University}},
  title        = {{{Überquerung der Styx - Betriebsparametervariation und Fehlerverhalten eines Platform FPGAs}}},
  year         = {{2013}},
}

@misc{10730,
  author       = {{Riebler, Heinrich}},
  publisher    = {{Paderborn University}},
  title        = {{{Identifikation und Wiederherstellung von kryptographischen Schlüsseln mit FPGAs}}},
  year         = {{2013}},
}

@misc{10741,
  author       = {{Sprenger, Alexander}},
  publisher    = {{Paderborn University}},
  title        = {{{MiBenchHybrid : Erweiterung eines Benchmarks um Hardwarebeschleunigung}}},
  year         = {{2013}},
}

@misc{10743,
  author       = {{Steppeler, Philipp}},
  publisher    = {{Paderborn University}},
  title        = {{{Beschleunigung von Einzelbild-Erkennungsverfahren auf Datenfluss basierenden HPC Systemen}}},
  year         = {{2013}},
}

@inproceedings{10745,
  author       = {{Toebermann, Christian and Geibel, Daniel and Hau, Manuel and Brandl, Ron and Kaufmann, Paul and Ma, Chenjie and Braun, Martin and Degner, Tobias}},
  booktitle    = {{Real-Time Conference}},
  publisher    = {{OPAL RT Paris}},
  title        = {{{Real-Time Simulation of Distribution Grids with high Penetration of Regenerative and Distributed Generation}}},
  year         = {{2013}},
}