@inproceedings{433,
  abstract     = {{Virtual FPGAs are overlay architectures realized on top of physical FPGAs. They are proposed to enhance or abstract away from the physical FPGA for experimenting with novel architectures and design tool flows. In this paper, we present an embedding of a ZUMA-based virtual FPGA fabric into a complete configurable system-on-chip. Such an embedding is required to fully harness the potential of virtual FPGAs, in particular to give the virtual circuits access to main memory and operating system services, and to enable a concurrent operation of virtualized and non-virtualized circuitry. We discuss our extension to ZUMA and its embedding into the ReconOS operating system for hardware/software systems. Furthermore, we present an open source tool flow to synthesize configurations for the virtual FPGA.}},
  author       = {{Wiersema, Tobias and Bockhorn, Arne and Platzner, Marco}},
  booktitle    = {{Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig)}},
  pages        = {{1--6 }},
  title        = {{{Embedding FPGA Overlays into Configurable Systems-on-Chip: ReconOS meets ZUMA}}},
  doi          = {{10.1109/ReConFig.2014.7032514}},
  year         = {{2014}},
}

@article{10602,
  author       = {{Schaefers, Lars and Platzner, Marco}},
  journal      = {{IEEE Transactions on Computational Intelligence and AI in Games}},
  number       = {{3}},
  pages        = {{361--374}},
  title        = {{{A Novel Technique and its Application to Computer Go}}},
  doi          = {{10.1109/TCIAIG.2014.2346997}},
  volume       = {{6}},
  year         = {{2014}},
}

@article{10603,
  author       = {{Giefers, Heiner and Platzner, Marco}},
  journal      = {{IEEE Transactions on Computers}},
  number       = {{12}},
  pages        = {{2919 -- 2932}},
  title        = {{{An FPGA-based Reconfigurable Mesh Many-Core}}},
  doi          = {{10.1109/TC.2013.174}},
  volume       = {{63}},
  year         = {{2014}},
}

@inproceedings{10621,
  author       = {{Anwer, Jahanzeb and Platzner, Marco and Meisner, Sebastian}},
  booktitle    = {{Reconfigurable Architectures Workshop (RAW)}},
  title        = {{{FPGA Redundancy Configurations: An Automated Design Space Exploration}}},
  doi          = {{10.1109/IPDPSW.2014.37}},
  year         = {{2014}},
}

@inproceedings{10632,
  author       = {{Boschmann, Alexander and Platzner, Marco}},
  booktitle    = {{Proc. MyoElectric Controls Symposium (MEC)}},
  title        = {{{A computer vision-based approach to high density EMG pattern recognition using structural similarity}}},
  year         = {{2014}},
}

@inproceedings{10633,
  author       = {{Boschmann, Alexander and Platzner, Marco}},
  booktitle    = {{Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC)}},
  title        = {{{Towards robust HD EMG pattern recognition: Reducing electrode displacement effect using structural similarity}}},
  year         = {{2014}},
}

@inproceedings{10674,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{24th Intl. Conf. on Field Programmable Logic and Applications (FPL)}},
  keywords     = {{Linux, hardware-software codesign, multiprocessing systems, parallel processing, LEON3 multicore platform, Linux kernel, PMU, hardware counters, hardware-software infrastructure, high performance embedded computing, perf_event, performance monitoring unit, Computer architecture, Hardware, Monitoring, Phasor measurement units, Radiation detectors, Registers, Software}},
  pages        = {{1--4}},
  title        = {{{A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms}}},
  doi          = {{10.1109/FPL.2014.6927437}},
  year         = {{2014}},
}

@inproceedings{10677,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{2014 {IEEE} Intl. Conf. on Evolvable Systems (ICES)}},
  keywords     = {{Linux, cache storage, embedded systems, granular computing, multiprocessing systems, reconfigurable architectures, Leon3 SPARe processor, custom logic events, evolvable-self-adaptable processor cache, fine granular profiling, integer unit events, measurement infrastructure, microarchitectural events, multicore embedded system, perf_event standard Linux performance measurement interface, processor properties, run-time reconfigurable memory-to-cache address mapping engine, run-time reconfigurable multicore infrastructure, split-level caching, Field programmable gate arrays, Frequency locked loops, Irrigation, Phasor measurement units, Registers, Weaving}},
  pages        = {{31--37}},
  title        = {{{Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure}}},
  doi          = {{10.1109/ICES.2014.7008719}},
  year         = {{2014}},
}

@inproceedings{10764,
  author       = {{Anwer, Jahanzeb and Platzner, Marco}},
  booktitle    = {{IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)}},
  pages        = {{177--184}},
  publisher    = {{IEEE}},
  title        = {{{Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs}}},
  doi          = {{10.1109/DFT.2014.6962108}},
  year         = {{2014}},
}

@inproceedings{13154,
  author       = {{Graf, Tobias and Platzner, Marco}},
  booktitle    = {{2014 IEEE Conference on Computational Intelligence and Games}},
  pages        = {{1--8}},
  title        = {{{Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go}}},
  doi          = {{10.1109/CIG.2014.6932863}},
  year         = {{2014}},
}

@inbook{335,
  abstract     = {{Im Bereich der Computersysteme ist die Festlegung der Grenze zwischen Hardware und Software eine zentrale Problemstellung. Diese Grenze hat in den letzten Jahrzehnten nicht nur die Entwicklung von Computersystemen bestimmt, sondern auch die Strukturierung der Ausbildung in den Computerwissenschaften beeinﬂusst und sogar zur Entstehung von neuen Forschungsrichtungen gef{\"u}hrt. In diesem Beitrag besch{\"a}ftigen wir uns mit Verschiebungen an der Grenze zwischen Hardware und Software und diskutieren insgesamt drei qualitativ unterschiedliche Formen solcher Verschiebungen. Wir beginnen mit der Entwicklung von Computersystemen im letzten Jahrhundert und der Entstehung dieser Grenze, die Hardware und Software erst als eigenst{\"a}ndige Produkte diﬀerenziert. Dann widmen wir uns der Frage, welche Funktionen in einem Computersystem besser in Hardware und welche besser in Software realisiert werden sollten, eine Fragestellung die zu Beginn der 90er-Jahre zur Bildung einer eigenen Forschungsrichtung, dem sogenannten Hardware/Software Co-design, gef{\"u}hrt hat. Im Hardware/Software Co-design ﬁndet eine Verschiebung von Funktionen an der Grenze zwischen Hardware und Software w{\"a}hrend der Entwicklung eines Produktes statt, um Produkteigenschaften zu optimieren. Im fertig entwickelten und eingesetzten Produkt hingegen k{\"o}nnen wir dann eine feste Grenze zwischen Hardware und Software beobachten. Im dritten Teil dieses Beitrags stellen wir mit selbst-adaptiven Systemen eine hochaktuelle Forschungsrichtung vor. In unserem Kontext bedeutet Selbstadaption, dass ein System Verschiebungen von Funktionen an der Grenze zwischen Hardware und Software autonom w{\"a}hrend der Betriebszeit vornimmt. Solche Systeme beruhen auf rekonﬁgurierbarer Hardware, einer relativ neuen Technologie mit der die Hardware eines Computers w{\"a}hrend der Laufzeit ver{\"a}ndert werden kann. Diese Technologie f{\"u}hrt zu einer durchl{\"a}ssigen Grenze zwischen Hardware und Software bzw. l{\"o}st sie die herk{\"o}mmliche Vorstellung einer festen Hardware und einer ﬂexiblen Software damit auf.}},
  author       = {{Platzner, Marco and Plessl, Christian}},
  booktitle    = {{Logiken strukturbildender Prozesse: Automatismen}},
  editor       = {{Künsemöller, Jörn and Eke, Norber Otto and Foit, Lioba and Kaerlein, Timo}},
  isbn         = {{978-3-7705-5730-1}},
  pages        = {{123--144}},
  publisher    = {{Wilhelm Fink}},
  title        = {{{Verschiebungen an der Grenze zwischen Hardware und Software}}},
  year         = {{2014}},
}

@article{363,
  abstract     = {{Due to the continuously shrinking device structures and increasing densities of FPGAs, thermal aspects have become the new focus for many research projects over the last years. Most researchers rely on temperature simulations to evaluate their novel thermal management techniques. However, these temperature simulations require a high computational effort if a detailed thermal model is used and their accuracies are often unclear. In contrast to simulations, the use of synthetic heat sources allows for experimental evaluation of temperature management methods. In this paper we investigate the creation of significant rises in temperature on modern FPGAs to enable future evaluation of thermal management techniques based on experiments. To that end, we have developed seven different heat-generating cores that use different subsets of FPGA resources. Our experimental results show that, according to external temperature probes connected to the FPGA’s heat sink, we can increase the temperature by an average of 81 !C. This corresponds to an average increase of 156.3 !C as measured by the built-in thermal diodes of our Virtex-5 FPGAs in less than 30 min by only utilizing about 21 percent of the slices.}},
  author       = {{Agne, Andreas and Hangmann, Hendrik and Happe, Markus and Platzner, Marco and Plessl, Christian}},
  journal      = {{Microprocessors and Microsystems}},
  number       = {{8, Part B}},
  pages        = {{911--919}},
  publisher    = {{Elsevier}},
  title        = {{{Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators}}},
  doi          = {{10.1016/j.micpro.2013.12.001}},
  volume       = {{38}},
  year         = {{2014}},
}

@article{365,
  abstract     = {{Self-aware computing is a paradigm for structuring and simplifying the design and operation of computing systems that face unprecedented levels of system dynamics and thus require novel forms of adaptivity. The generality of the paradigm makes it applicable to many types of computing systems and, previously, researchers started to introduce concepts of self-awareness to multicore architectures. In our work we build on a recent reference architectural framework as a model for self-aware computing and instantiate it for an FPGA-based heterogeneous multicore running the ReconOS reconfigurable architecture and operating system. After presenting the model for self-aware computing and ReconOS, we demonstrate with a case study how a multicore application built on the principle of self-awareness, autonomously adapts to changes in the workload and system state. Our work shows that the reference architectural framework as a model for self-aware computing can be practically applied and allows us to structure and simplify the design process, which is essential for designing complex future computing systems.}},
  author       = {{Agne, Andreas and Happe, Markus and Lösch, Achim and Plessl, Christian and Platzner, Marco}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems (TRETS)}},
  number       = {{2}},
  publisher    = {{ACM}},
  title        = {{{Self-awareness as a Model for Designing and Operating Heterogeneous Multicores}}},
  doi          = {{10.1145/2617596}},
  volume       = {{7}},
  year         = {{2014}},
}

@article{328,
  abstract     = {{The ReconOS operating system for reconfigurable computing offers a unified multi-threaded programming model and operating system services for threads executing in software and threads mapped to reconfigurable hardware. The operating system interface allows hardware threads to interact with software threads using well-known mechanisms such as semaphores, mutexes, condition variables, and message queues. By semantically integrating hardware accelerators into a standard operating system environment, ReconOS allows for rapid design space exploration, supports a structured application development process and improves the portability of applications}},
  author       = {{Agne, Andreas and Happe, Markus and Keller, Ariane and Lübbers, Enno and Plattner, Bernhard and Platzner, Marco and Plessl, Christian}},
  journal      = {{IEEE Micro}},
  number       = {{1}},
  pages        = {{60--71}},
  publisher    = {{IEEE}},
  title        = {{{ReconOS - An Operating System Approach for Reconfigurable Computing}}},
  doi          = {{10.1109/MM.2013.110}},
  volume       = {{34}},
  year         = {{2014}},
}

@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}},
}

@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}},
}

@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}},
}

@inproceedings{13645,
  author       = {{Graf, Tobias and Schäfers, Lars and Platzner, Marco}},
  booktitle    = {{Proceedings of the International Conference on Computers and Games (CG)}},
  publisher    = {{Springer}},
  title        = {{{On Semeai Detection in Monte-Carlo Go.}}},
  year         = {{2013}},
}

