@inproceedings{17371,
  author       = {{Castenow, Jannik and Kling, Peter and Knollmann, Till and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures}},
  isbn         = {{9781450369350}},
  title        = {{{Brief Announcement: A Discrete and Continuous Study of the Max-Chain-Formation Problem: Slow Down to Speed up}}},
  doi          = {{10.1145/3350755.3400263}},
  year         = {{2020}},
}

@inproceedings{16968,
  abstract     = {{In this work, we initiate the research about the Gathering problem for robots
with limited viewing range in the three-dimensional Euclidean space. In the
Gathering problem, a set of initially scattered robots is required to gather at
the same position. The robots' capabilities are very restricted -- they do not
agree on any coordinate system or compass, have a limited viewing range, have
no memory of the past and cannot communicate. We study the problem in two
different time models, in FSYNC (fully synchronized discrete rounds) and the
continuous time model. For FSYNC, we introduce the 3D-Go-To-The-Center-strategy
and prove a runtime of $\Theta(n^2)$ that matches the currently best runtime
bound for the same model in the Euclidean plane [SPAA'11]. Our main result is
the generalization of contracting strategies (continuous time) from
[Algosensors'17] to three dimensions. In contracting strategies, every robot
that is located on the global convex hull of all robots' positions moves with
full speed towards the inside of the convex hull. We prove a runtime bound of
$O(\Delta \cdot n^{3/2})$ for any three-dimensional contracting strategy, where
$\Delta$ denotes the diameter of the initial configuration. This comes up to a
factor of $\sqrt{n}$ close to the lower bound of $\Omega (\Delta \cdot n)$
which is already true in two dimensions. In general, it might be hard for
robots with limited viewing range to decide whether they are located on the
global convex hull and which movement maintains the connectivity of the swarm,
rendering the design of concrete contracting strategies a challenging task. We
prove that the continuous variant of 3D-Go-To-The-Center is contracting and
keeps the swarm connected. Moreover, we give a simple design criterion for
three-dimensional contracting strategies that maintains the connectivity of the
swarm and introduce an exemplary strategy based on this criterion.}},
  author       = {{Braun, Michael and Castenow, Jannik and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Proceedings of the 27th Conference on Structural Information and Communication Complexity (SIROCCO)}},
  location     = {{Paderborn}},
  publisher    = {{Springer}},
  title        = {{{Local Gathering of Mobile Robots in Three Dimensions}}},
  doi          = {{10.1007/978-3-030-54921-3_4}},
  year         = {{2020}},
}

@article{16299,
  author       = {{Castenow, Jannik and Fischer, Matthias and Harbig, Jonas and Jung, Daniel and Meyer auf der Heide, Friedhelm}},
  issn         = {{0304-3975}},
  journal      = {{Theoretical Computer Science}},
  pages        = {{289--309}},
  title        = {{{Gathering Anonymous, Oblivious Robots on a Grid}}},
  doi          = {{10.1016/j.tcs.2020.02.018}},
  volume       = {{815}},
  year         = {{2020}},
}

@inproceedings{13868,
  author       = {{Pukrop, Simon and Mäcker, Alexander and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Proceedings of the 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM)}},
  title        = {{{Approximating Weighted Completion Time for Order Scheduling with Setup Times}}},
  year         = {{2020}},
}

@article{13770,
  author       = {{Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and Wehrheim, Heike}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{6}},
  pages        = {{467--481}},
  publisher    = {{Springer}},
  title        = {{{A Case for a New IT Ecosystem: On-The-Fly Computing}}},
  doi          = {{10.1007/s12599-019-00627-x}},
  volume       = {{62}},
  year         = {{2020}},
}

@inproceedings{12870,
  author       = {{Feldkord, Björn and Knollmann, Till and Malatyali, Manuel and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Proceedings of the 17th Workshop on Approximation and Online Algorithms (WAOA)}},
  pages        = {{120 -- 137}},
  publisher    = {{Springer}},
  title        = {{{Managing Multiple Mobile Resources}}},
  doi          = {{10.1007/978-3-030-39479-0_9}},
  year         = {{2019}},
}

@article{16337,
  author       = {{Brandt, Sascha and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}},
  issn         = {{0167-7055}},
  journal      = {{Computer Graphics Forum}},
  location     = {{Seoul, South Korea}},
  number       = {{7}},
  pages        = {{413--424}},
  title        = {{{Visibility‐Aware Progressive Farthest Point Sampling on the GPU}}},
  doi          = {{10.1111/cgf.13848}},
  volume       = {{38}},
  year         = {{2019}},
}

@unpublished{16341,
  abstract     = {{We present a technique for rendering highly complex 3D scenes in real-time by
generating uniformly distributed points on the scene's visible surfaces. The
technique is applicable to a wide range of scene types, like scenes directly
based on complex and detailed CAD data consisting of billions of polygons (in
contrast to scenes handcrafted solely for visualization). This allows to
visualize such scenes smoothly even in VR on a HMD with good image quality,
while maintaining the necessary frame-rates. In contrast to other point based
rendering methods, we place points in an approximated blue noise distribution
only on visible surfaces and store them in a highly GPU efficient data
structure, allowing to progressively refine the number of rendered points to
maximize the image quality for a given target frame rate. Our evaluation shows
that scenes consisting of a high amount of polygons can be rendered with
interactive frame rates with good visual quality on standard hardware.}},
  author       = {{Brandt, Sascha and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{arXiv:1904.08225}},
  title        = {{{Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels}}},
  year         = {{2019}},
}

@article{13873,
  author       = {{Feldkord, Björn and Meyer auf der Heide, Friedhelm}},
  journal      = {{ACM Transactions on Parallel Computing (TOPC)}},
  number       = {{3}},
  title        = {{{The Mobile Server Problem}}},
  doi          = {{10.1145/3364204}},
  volume       = {{6}},
  year         = {{2019}},
}

@article{13937,
  author       = {{Meyer auf der Heide, Friedhelm}},
  journal      = {{Mathematische Semesterberichte}},
  number       = {{2}},
  pages        = {{259--260}},
  title        = {{{Paul Curzon, Peter W. McOwan: Computational Thinking; Die Welt des algorithmischen Denkens – in Spielen, Zaubertricks und Rätseln}}},
  doi          = {{10.1007/s00591-019-00249-0}},
  volume       = {{66}},
  year         = {{2019}},
}

@inbook{13939,
  author       = {{Kling, Peter and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Distributed Computing by Mobile Entities, Current Research in Moving and Computing}},
  pages        = {{317--334}},
  publisher    = {{Springer}},
  title        = {{{Continuous Protocols for Swarm Robotics}}},
  doi          = {{10.1007/978-3-030-11072-7\_13}},
  volume       = {{11340}},
  year         = {{2019}},
}

@inproceedings{13942,
  author       = {{Markarian, Christine and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Proceedings of the 8th International Conference on Operations Research and Enterprise Systems}},
  pages        = {{315--321}},
  publisher    = {{SciTePress}},
  title        = {{{Online Algorithms for Leasing Vertex Cover and Leasing Non-metric Facility Location}}},
  doi          = {{10.5220/0007369503150321}},
  year         = {{2019}},
}

@article{13946,
  author       = {{Abu-Khzam, Faisal N. and Li, Shouwei and Markarian, Christine and Meyer auf der Heide, Friedhelm and Podlipyan, Pavel}},
  journal      = {{Theoretical Computer Science}},
  pages        = {{2--12}},
  title        = {{{Efficient parallel algorithms for parameterized problems}}},
  doi          = {{10.1016/j.tcs.2018.11.006}},
  volume       = {{786}},
  year         = {{2019}},
}

@inproceedings{2485,
  author       = {{Feldkord, Björn and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)}},
  location     = {{Wien}},
  pages        = {{373 -- 381 }},
  publisher    = {{ACM}},
  title        = {{{Online Facility Location with Mobile Facilities}}},
  doi          = {{10.1145/3210377.3210389}},
  year         = {{2018}},
}

@article{2848,
  author       = {{Li, Shouwei and Markarian, Christine and Meyer auf der Heide, Friedhelm}},
  journal      = {{Algorithmica}},
  number       = {{5}},
  pages        = {{1556–1574}},
  publisher    = {{Springer}},
  title        = {{{Towards Flexible Demands in Online Leasing Problems. }}},
  doi          = {{10.1007/s00453-018-0420-y}},
  volume       = {{80}},
  year         = {{2018}},
}

@article{2849,
  author       = {{Abu-Khzam, Faisal N.  and Markarian, Christine and Meyer auf der Heide, Friedhelm and Schubert, Michael}},
  journal      = {{Theory of Computing Systems}},
  publisher    = {{Springer}},
  title        = {{{Approximation and Heuristic Algorithms for Computing Backbones in Asymmetric Ad-hoc Networks}}},
  doi          = {{10.1007/s00224-017-9836-z}},
  year         = {{2018}},
}

@inproceedings{2850,
  author       = {{Hamann, Heiko and Markarian, Christine and Meyer auf der Heide, Friedhelm and Wahby, Mostafa}},
  booktitle    = {{Ninth International Conference on Fun with Algorithms (FUN)}},
  title        = {{{Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets}}},
  doi          = {{10.4230/LIPIcs.FUN.2018.22}},
  year         = {{2018}},
}

@article{3551,
  author       = {{König, Jürgen and Mäcker, Alexander and Meyer auf der Heide, Friedhelm and Riechers, Sören}},
  journal      = {{Journal of Combinatorial Optimization}},
  number       = {{4}},
  pages        = {{1356--1379}},
  title        = {{{Scheduling with interjob communication on parallel processors}}},
  doi          = {{10.1007/s10878-018-0325-3}},
  volume       = {{36}},
  year         = {{2018}},
}

@article{63,
  author       = {{Althaus, Ernst and Brinkmann, Andre and Kling, Peter and Meyer auf der Heide, Friedhelm and Nagel, Lars and Riechers, Sören and Sgall, Jiri and Suess, Tim}},
  journal      = {{Journal of Scheduling}},
  number       = {{1}},
  pages        = {{77--92}},
  publisher    = {{Springer}},
  title        = {{{Scheduling Shared Continuous Resources on Many-Cores}}},
  doi          = {{10.1007/s10951-017-0518-0}},
  volume       = {{21}},
  year         = {{2018}},
}

@inproceedings{7570,
  author       = {{Meyer auf der Heide, Friedhelm and Schaefer, Johannes Sebastian}},
  booktitle    = {{Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA '18}},
  isbn         = {{9781450357999}},
  location     = {{Vienna}},
  publisher    = {{ACM Press}},
  title        = {{{Brief Announcement: Communication in Systems of Home Based Mobile Agents}}},
  doi          = {{10.1145/3210377.3210662}},
  year         = {{2018}},
}

