HPC Application Support

HPC Application Support

The MPCDF provides consulting and dedicated high-level support for the development, optimization, analysis and visualization of high-performance-computing (HPC) and high-performance data-analytics (HPDA) applications. This comprises the development and optimization of codes in collaboration with Max-Planck scientists, scientific visualization of data from simulations and experiments, and technical consulting, e.g. on programming techniques and models, like for the use  of  hardware accelerators (e.g. GPU).

Support

 For dedicated project support, please contact HPC) or (AI & HPDA)

 Technical documentation (MPCDF hardware and software) can be found at the MPCDF user documentation.

Ongoing projects and long-term collaborations

  • CHIEF (Max-Planck Institute for Solar System Research, Goettingen)
  • DFTB+ (Fritz-Haber Institute of the MPG, Berlin)
  • DIAMOND (Max-Planck Institute for Biology, Tuebingen)
  • ELPA (NOMAD Laboratory and Fritz-Haber Institute of the MPG, Berlin)
  • ESPResSo++ (Max-Planck Institute for Polymer Research, Mainz)
  • FHI-aims (Fritz-Haber Institute of the MPG, Berlin, Max-Planck Institute for the Structure and Dynamics of Matter, Hamburg)
  • GENE, GENEX, GRILLIX, PARALLAX (Max-Planck Institute for Plasmaphysics, Garching)
  • GROMACS (Max-Planck Institute for Multidisciplinary Sciences, Goettingen)
  • IDE, TORBEAM, RABBIT (Max-Planck Institute for Plasmaphysics, Garching)
  • JOREK (Max-Planck Institute for Plasmaphysics, Garching)
  • MagIC (Max-Planck Institute for Solar System Research, Goettingen)
  • NECI (Max-Planck Institute for Solid State Research, Stuttgart)
  • NSCOUETTE (Max-Planck Institute for Dynamics and Self-Organization, Goettingen, U. Bremen)
  • OCTOPUS (Max-Planck Institute for the Structure and Dynamics of Matter, Hamburg)
  • SeLaLib (Max-Planck Institute for Plasmaphysics, Garching)
  • SISSO++ (Fritz-Haber Institute of the MPG, Berlin)
  • TurTLE (Max-Planck Institute for Dynamics and Self-Organization, Goettingen, U.Bayreuth)

See also MPG Projects

People

Members of the HPC Application Support Division

  • Dr. Srikanth Chowdadenahalli Sathyanarayana
  • Dr. Tilman Dannert (coordinator HPC training and academic collaborations)
  • Dr. Sebastian Eibl
  • Dr. Petr Karpov
  • Dr. Sebastian Kehl
  • Dr. Cristian Lalescu
  • Dr. Mou Lin
  • Dr. Carlos Lopez
  • Dr. Tobias Melson
  • Dr. Henri Menke
  • Dr. Vedran Miletic
  • Dr. Sebastian Ohlmann
  • Dr. Markus Rampp (leader)
  • Dr. Klaus Reuter (deputy leader)
  • Dr. Florian Merz (Lenovo, associated)
  • Dr. Alexander Poeppl (Intel, associated)
  • Dr. Rafael Lago (Intel, associated)

 See also: Staff

Former Members

  • Meisam Farzalipour-Tabriz (Max Planck Institute for Physics)
  • Dr. Soheil Soltani (Industry)
  • Dr. Rafael Lago (Industry)
  • Dr. Ihor Holod (ACH at IPP)
  • Dr. Andreas Marek (head of MPCDF AI & HPDA division)
  • Dr. Timoteo Colnaghi (MPCDF AI & HPDA division)
  • Dr. Michele Compostella (MPCDF systems division)
  • Dr. Cesar Allande Alvarez (Industry)
  • Dr. Luka Stanisic (Industry)
  • Dr. Lorenz Hüdepohl (MPCDF systems division)
  • Dr. Renate Dohmen (MPCDF systems division)
  • Dr. Pavel Kus (University of Prague)
  • Dr. Berenger Bramas (INRIA Nancy)
  • Dr. Werner Nagel (Retired)
  • Elena Erastova (MPCDF systems division)
  • Dr. Fabio Baruffa (Industry)
  • Reinhard Tisma (Retired)

 

Students

  • Yi Ju (PhD thesis supervised by Prof. E. Laure, MPCDF; co-supervisor: T. Dannert)
    • In-situ processing (ADMIRE project)
  • Diego Jimenez Vargas (PhD thesis supervised by Prof. E. Laure, MPCDF; co-supervisor: T. Dannert)
    • Data reduction and mixed-precision techniques in plasma physics applications (DAREXA-F project)

      Former Students

      • Andreas Laible (Master thesis, TU Munich, co-supervisors: E. Laure, M. Rampp, in collaboration with MPI for Animal Behaviour, Radolfzell)
        • Agent based modelling software for shared memory systems to simulate bats
      • Jeongin Park (internship via MPG-POSTECH exchange program, supervisors: K. Reuter, A. Marek)
        • Machine-learning analysis of HPC performance monitoring data
      • Bat-Amgalan Bat-Erdene (Master thesis, TU Munich, co-supervisors: E. Laure, K. Reuter, in collaboration with MPI for Biology, Tuebingen)
        • GPU parallelization of protein sequence alignment
      • Monika Das (Master thesis, U. Besancon; co-supervisors: C. Lalescu, M. Rampp)
        • Assessment of high-performance 3D FFT libraries, in the context of the CFD code TurTLE (completed in 2023)
      • Carolin Penke (PhD thesis in collaboration with Prof. P. Benner, MPI for Dynamics of Complex Technical Systems; co-supervisors: T. Dannert, A. Marek)
        • Numerical solvers for the Bethe-Salpeter Eigenvalue problem (completed in 2021)
      • Matthias Albert (Bachelor thesis in collaboration with Prof. D. Kranzlmueller, LMU; co-supervisor: M. Rampp)
        • Visualizing Big Data in Virtual Reality – Interactive Analysis of Large Scale Turbulence Simulations (completed in 2018)
      • Victor Artigues (Master thesis in collaboration with Prof. O. Lafitte, Universite Paris 13 & Prof. E. Sonnendruecker, IPP; co-supervisors: K. Reuter, M. Rampp)
        • Evaluation of novel, high-level programming frameworks for exascale HPC architectures and their application in numerical plasma physics. (completed in 2018)

       

      Open Positions

      We are always looking for highly skilled computational scientists or HPC or HPDA application experts with profound knowledge in parallel programming (ideally with modern Fortran, C or C++, together with MPI, OpenMP, and GPU programming models) and/or data analytics. We offer the opportunity to work on state-of-the-art numerical algorithms, leading HPC codes and HPDA applications, latest supercomputer technology and to maintain close collaborations with the code owners and domain scientists from various Max-Planck-Institutes e.g. in astrophysics, fusion research, materials and bio sciences, polymer research, and theoretical chemistry. Applications are welcome and should be directed to .

      See also: Career

      Talks and training material

      See also Training & Education

      Selected publications

      For a complete list see: Publications by MPCDF

      2024

      • Optimizing Application Performance with BlueField: Accelerating Large-Message Blocking and Nonblocking Collective Operations. R. Graham, G. Bosilca, Y. Qin, B. Settlemyer, G. Shainer, C. Stunkel, G. Vallee, B. Williams, G. Cisneros-Stoianowski, S. Ohlmann, M. Rampp. ISC High Performance 2024 Research Paper Proceedings (39th International Conference), Hamburg, Germany, 2024, pp. 1-12, doi: 10.23919/ISC.2024.10528935.

      • Efficient All-electron Hybrid Density Functionals for Atomistic Simulations beyond 10,000 Atoms. S. Kokott, F. Merz, Y. Yao, C. Carbogno, M. Rossi, V. Havu, M. Rampp, M. Scheffler. J. Chem. Phys. 161, 024112 (2024) arXiv:2403.10343

      • Rapid simulation of glycoprotein structures by grafting and steric exclusion of glycan conformer libraries. Tsai, Y.-X.; Chang, N.-E.; Reuter, K.; Chang, H.-T.; Yang, T.-J.; von Bülow, S.; Sehrawat, V.; Zerrouki, N.; Tuffery, M.; Gecht, M. et al.  Cell 187 (5), pp. 1296 - 1311 (2024)
      • Roadmap on Data-Centric Materials Science. S. Bauer et al. (incl. S. Eibl, A. Marek, F. Merz, M. Rampp). submitted to Modelling Simul. Mater. Sci. Eng. (2024) arXiv:2402.10932

      2023

      • A performance portable implementation of the semi-Lagrangian algorithm in six dimensions. Schild, N.; Räth, M.; Eibl, S.; Hallatschek, K.; Kormann, K. Computer Physics Communications 295, 108973 (2023) arXiv:2303.05994
      • Electron inertia effects in 3D hybrid-kinetic collisionless plasma turbulence. P.atricio A. Muñoz, Neeraj Jain, Meisam Farzalipour Tabriz, Markus Rampp, Jörg Büchner. Phys. Plasmas 30, 092302 (2023). arXiv:2303.01322
      • Electronic Impurity Doping of a 2D Hybrid Lead Iodide Perovskite by Bi and Sn. Haipeng Lu, Gabrielle Koknat, Yi Yao, Ji Hao, Xixi Qin, Chuanxiao Xiao, Ruyi Song, Florian Merz, Markus Rampp, Sebastian Kokott, Christian Carbogno, Tianyang Li, Glenn Teeter, Matthias Scheffler, Joseph J. Berry, David B. Mitzi, Jeffrey L. Blackburn, Volker Blum, and Matthew C. Beard. PRX Energy 2, 023010 (2023)
      • Code modernization strategies for short-range non-bonded molecular dynamics simulations.J. Vance, Z.-H. Xu, N. Tretyakov, T. Stuehn, M. Rampp, S. Eibl, C. Junghans, A. Brinkmann. Comp. Phys. Comm 290, 108760 (2023)
      • Real-time implementation of the high-fidelity NBI code RABBIT into the discharge control system of ASDEX Upgrade. M. Weiland, R. Bilato, B. Sieglin1, F. Felici, L. Giannone, O. Kudlacek, M. Rampp, M. Scheffer, W. Treutterer, T. Zehetbauer, the ASDEX Upgrade Team and the EUROfusion MST Team. Nucl. Fusion 63 066013 (2023)

      2022

      2021

      • MagIC v5.10: a two-dimensional message-passing interface (MPI) distribution for pseudo-spectral magnetohydrodynamics simulations in spherical geometry. Lago, R. F.; Gastine, T.; Dannert, T.; Rampp, M.; Wicht, J.: Geoscientific Model Development 14 (12) pp. 7477 - 7495 (2021)
      • Toward exascale whole-device modeling of fusion devices: Porting the GENE gyrokinetic microturbulence code to GPU. Germaschewski, K.; Allen, B.; Dannert, T; Hrywniak, M.; Donaghy, J.; Merlo, G.; Ethier, S.; D'Azevedo, E.; Jenko, F.; Bhattacharjee, A. Physics of Plasmas 28, 062501 (2021)
      • Transitions of turbulent superstructures in generalized Kolmogorov flow. Lalescu, C. L.; Wilczek, M. :  Physical Review Research 3 (2), L022010 (2021)
      • Sensitive protein alignments at tree-of-life scale using DIAMOND. B. Buchfink, K. Reuter & H.-G. Drost . Nature Methods 18, 366–368 (2021)
      • Self-consistent potential correction for charged periodic systems. da Silva, M. C.; Lorke, M.; Aradi, B.; Farzalipour Tabriz, M.; Frauenheim, T.; Rubio, A.; Rocca, D.; Deák, P. Physical Review Letters 126, 076401 (2021)
      • Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. Li, Y.; Zhou, X.; Colnaghi, T.; Wei, Y.; Marek, A.; Li, H.; Bauer, S.; Rampp, M.; Stephenson, L. T. npj Computational Materials vol 7 article 8 (2021)

      2020

      • FaVAD: A software workflow for characterization and visualizing of defects in crystalline structures. von Toussaint, U.; Domínguez-Gutiérrez, F.J.; Compostella, M.; Rampp, M.: Computer Physics Communications 262, 107816 (2020)
      • Intermediate mass black hole formation in compact young massive star clusters. Rizzuto, F. P.; Naab, T.; Spurzem, R.; Giersz, M.; Ostriker, J. P.; Stone, N. C.; Wang, L.; Berczik, P.; Rampp, M.: Monthly Notices of the Royal Astronomical Society 501 (4), pp. 5257 - 5273 (2020)
      • Formation of sdB-stars via common envelope ejection by substellar companions. Kramer, M.; Schneider, F. R. N.; Ohlmann, S. T.; Geier, S.; Schaffenroth, V.; Pakmor, R.; Röpke, F. K.:  Astronomy and Astrophysics 642, A97 (2020)
      • Common-envelope evolution with an asymptotic giant branch star. Sand, C.; Ohlmann, S. T.; Schneider, F. R. N.; Pakmor, R.; Röpke, F. K.:Astronomy and Astrophysics 644, A60 (2020)
      • Validation tests for cryo-EM maps using an independent particle set. S. Ortiz, L. Stanisic, B. A Rodriguez, M. Rampp, G. Hummer, P. Cossio Journal of Structural Biology: X 4, 100032 (2020). preprint: arXiv:1908.01054
      • NECI: N-Electron Configuration Interaction with emphasis on state-of-the-art stochastic methods. Kai Guther, Robert J. Anderson, Nick S. Blunt, Nikolay A. Bogdanov, Deidre Cleland, Nike Dattani, Werner Dobrautz, Khaldoon Ghanem, Peter Jeszenski, Niklas Liebermann, Giovanni Li Manni, Alexander Y. Lozovoi, Hongjun Luo, Dongxia Ma, Florian Merz, Catherine Overy, Markus Rampp, Pradipta K. Samanta, Lauretta R. Schwarz, James J. Shepherd, Simon D. Smart, Eugenio Vitale, Oskar Weser, George H. Booth, Ali Alavi. Journal of Chemical Physics 152,12 (2020). preprint: arXiv:2006.14956
      • SNe Ia from double detonations: Impact of core-shell mixing on the carbon ignition mechanism, S. Gronow, C. Collins, S. T.  Ohlmann, R. Pakmor, M. Kromer, I. R. Seitenzahl, S. A. Sim, F. K. Röpke, A&A 635, A169 (2020)
      • GENE-3D: A global gyrokinetic turbulence code for stellarators. Maurer, M.; Bañón Navarro, A.; Dannert, T.; Restelli, M.; Hindenlang, F.; Görler, T.; Told, D.; Jarema, D.; Merlo, G.; Jenko, F.:  Journal of Computational Physics 420, 109694 (2020)
      • Long-term evolution of a magnetic massive merger product, F R N Schneider, S T Ohlmann, Ph Podsiadlowski, F K Röpke, S A Balbus, R Pakmor, MNRAS 495, 2796–2812 (2020)
      • Intrinsic defects of GaSe. P. Deák, M. Han, M. Lorke, M. Farzalipour Tabriz, Th. Frauenheim. J. Phys.: Condens. Matter 32 (2020) 285503.
      • Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems. N. Tancogne-Dejean, M. J. T. Oliveira, X. Andrade, H. Appel, C. H. Borca, G. Le Breton, F. Buchholz, A. Castro, S. Corni, A. A. Correa, U. De Giovannini, A. Delgado, F. G. Eich, J. Flick, G. Gil, A. Gomez, N. Helbig, H. Hübener, R. Jestädt, J. Jornet-Somoza, A. H. Larsen, I. V. Lebedeva, M. Lüders, M. A. L. Marques, S. T. Ohlmann, S. Pipolo, M. Rampp, C. A. Rozzi, D. A. Strubbe, S. A. Sato, C. Schäfer, I. Theophilou, A. Welden, A. Rubio. Journal of Chemical Physics 152,12 (2020) arXiv:1912.07921
      • nsCouette -- A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow. J.-M. Lopez, D. Feldmann, M. Rampp, A. Vela-Martin, L. Shi, M. Avila. SoftwareX, 11, 100395 (2020) arXiv:1908.00587
      • Evaluation of performance portability frameworks for the implementation of a particle-in-cell code V. Artigues, K. Kormann, M. Rampp, K. Reuter. Concurrency and Computation: Practice and Experience 32:e5640 (2020). arXiv:1911.08394
      • MPCDF HPC Performance Monitoring System: Enabling Insight via Job-Specific Analysis. Stanisic L., Reuter K. (2020)  In: Schwardmann U. et al. (eds) Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in
        Computer Science, vol 11997. Springer, Cham. doi.org/10.1007/978-3-030-48340-1_47 arXiv:1909.11704 (2019)

      2019

      • Discovery of an Exceptionally Strong β-Decay Transition of 20F and Implications for the Fate of Intermediate-Mass Stars, Kirsebom, O. S., Jones, S., Strömberg, D. F., Martínez-Pinedo, G., Langanke, K., Röpke, F. K., Brown, B. A., Eronen, T., Fynbo, H. O. U., Hukkanen, M., Idini, A., Jokinen, A., Kankainen, A., Kostensalo, J., Moore, I., Möller, H., Ohlmann, S. T., Penttilä, H., Riisager, K., Rinta-Antila, S., Srivastava, P. C., Suhonen, J., Trzaska, W. H., & Äystö, J. Phys. Rev. Lett. 123, 262701 (2019)
      • Defect calculations with hybrid functionals in layered compounds and in slab models, P. Deák, E. Khorasani, M. Lorke, M. Farzalipour-Tabriz, B. Aradi & Th. Frauenheim, Phys. Rev. B 100, 235304 (2019)
      • Current profile tailoring with the upgraded ECRH system at ASDEX Upgrade, R. Fischer, A. Bock, A. Burckhart, L. Giannone, A. Gude, R.M. McDermott, M. Rampp, M. Reisner, J. Stober, M. Weiland, M. Willensdorfer, and the ASDEX Upgrade Team 46th EPS Conference on Plasma Physics (2019)
      • Efficient Ensemble Refinement by Reweighting, J. Köfinger, L. Stelzl, K. Reuter, C. Allande, K. Reichel, G. Hummer, J. Chem. Theory Comput. ( 2019) , 15, 5, 3390-3401doi: 10.1021/acs.jctc.8b01231( preprint )
      • A massively parallel semi-Lagrangian solver for the six-dimensional Vlasov-Poisson equation. Kormann, K., Reuter, K., Rampp, M.International Journal of High Performance Computing Applications (2019) ( arXiv:1903.00308)
      • Remnants and ejecta of thermonuclear electron-capture supernovae - Constraining oxygen-neon deflagrations in high-density white dwarfs. S. Jones, F. K. Röpke, C. Fryer, A. J. Ruiter, I. R. Seitenzahl, L. R.  Nittler, S. T. Ohlmann, R. Reifarth, M. Pignatari and K. Belczynski. Astronomy & Astrophysics 622, A74 (2019)
      • Increasing the degree of parallelism using speculative execution in task-based runtime systems. B. Bramas. PeerJ Computer Science 5, e183 (2019), doi: 10.7717/peerj-cs.18

      2018

      • CADISHI: Fast parallel calculation of particle-pair distance histograms on CPUs and GPUs. Reuter, K., Koefinger, J. Computer Physics Communications (2018)
      • Current distribution reconstruction for plasma scenario development at ASDEX Upgrade. Fischer, R., Bock, A., Burckhart, A., Denk, S., Dunne, M., Ford, O., Giannone, L., Gude, A., Maraschek, M., McDermott, R., Mlynek, A., Poli, E., Rampp, M., Rittich, D., Weiland, M., Willensdorfer, M. 45th EPS Conference on Plasma Physics (2018)
      • Rotation-supported Neutrino-driven Supernova Explosions in Three Dimensions and the Critical Luminosity Condition.Summa A., Janka H.Th., Melson T. and Marek A. Astrophysical Journal, 852 (2018).

      2017

      2016

      • GPEC, a real-time capable tokamak equilibrium code. M. Rampp, R. Preuss, R. Fischer & ASDEX Upgrade Team. Fusion Science & Technology, 70(1) (2016) (arXiv:1511.04203)
      • Coupling of the flux diffusion equation with the equilibrium reconstruction at ASDEX Upgrade. R. Fischer, A. Bock, M. Dunne, J. C. Fuchs, L. Giannone, K. Lackner, P. J. McCarthy, E. Poli, R. Preuss, M. Rampp, M. Schubert, J. Stober, W. Suttrop, G. Tardini, M. Weiland & ASDEX Upgrade Team. Fusion Science & Technology, 69(2) 526-536 (2016).
      • Summa A., Hanke F., Janka H.-Th., Melson T., Marek A., and Müller B.: Progenitor-dependent Explosion Dynamics in Self-consistent, Axisymmetric Simulations of Neutrino-driven Core-collapse Supernovae, Astrophysical Journal, 825, 2016
      • Ertl T., Ugliano M., Janka H.-Th., Marek A., and Arconnes A.: Erratum: Progenitor-explosion Connection and Remnant Birth Masses for Neutrino-driven Supernovae of Iron-core Progenitors, Astrophysical Journal, 821, 2016

      2015

      • The 3D MHD code GOEMHD3 for astrophysical plasmas with large Reynolds numbers. Code description, verification, and computational performance. Skála, J.; Baruffa, F.; Büchner, J.; Rampp, M.;  Astronomy & Astrophysics, 580, A48  (2015) ( arXiv:1411.1289).
      • A hybrid MPI-OpenMP parallel implementation for pseudospectral simulations with application to Taylor-Couette flow. Shi, L.; Rampp, M.; Hof, B.; Avila, M. Computers & Fluids, 106, 1-11 (2015) ( arXiv:1311.2481).
      • Melson T., Janka H.-Th., Bollig R., Hanke F., Marek A., and Müller B.: Neutrino-driven Explosion of a 20 Solar-mass Star in Three Dimensions Enabled by Strange-quark Contributions to Neutrino-Nucleon Scattering, Astrophysical Journal, 808, 2015
      • Melson T., Janka H.-Th., and Marek A.: Neutrino-driven Supernova of a Low-mass Iron-core Progenitor Boosted by Three-dimensional Turbulent Convection, Astrophysical Journal, 801, 2015

      2014

      • Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX. Dannert, T.; Marek, A., Rampp, M., in Advances in Parallel Computing, 25, 305-314 (2014) ( arXiv:1310.1485).
      • Towards Petaflops Capability of the VERTEX supernova Code. Marek, A., Rampp, M., Hanke, F., Janka, H.-Th., in Advances in Parallel Computing, 25, 712-721 (2014). (arXiv:1404.1719).
      • Tamborra I., Hanke F., Janka H.Th., Müller B., Raffelt G., and Marek A.: Self-sustained Asymmetry of Lepton-number Emission: A New Phenomenon during the Supernova Shock-accretion Phase in Three Dimensions, Astrophysical Journal, 792, 2014
      • Marek A., Blum V., Johanni R., Havu V., Lang B., Auckenthaler T., Heinecke A., Bungartz H.-J, and Lederer H.: The ELPA library - Scalable parallel Eigenvalü Solutions for Electronic Structure Theory and Computational Science, Journal of Physics Condensed Matter, 26, 2014

      2013

      • A data acquisition system for real-time magnetic equilibrium reconstruction on ASDEX Upgrade and its application to NTM stabilization experiments. L. Giannone et al. (including M. Rampp). Fusion Engineering and Design, 88 3299-3311 (2013)
      • Optimization strategy for the VMEC stellarator equilibrium code. Merz, F.; Geiger, J.; Rampp, M.IPP-Report R/48 (2013)
      • Dnmt2-dependent methylomes lack defined DNA methylation patterns
        G. Raddatz, P. M. Guzzardo, N. Olova, M. R. Fantappié, M. Rampp, M. Schaefer, W. Reik, G. J. Hannon, F. Lyko PNAS (2013). doi:10.1073/pnas.1306723110
      • Genome of the Haloarchaeon Natronomonas moolapensis, a Neutrophilic Member of a Previously Haloalkaliphilic Genus.
        Dyall-Smith M.L., Pfeiffer F., Oberwinkler T., Klee K., Rampp M., Palm P., Gross K., Schuster S.C., Oesterhelt D. Genome Announc. (2013). doi: 10.1128/genomeA.00095-13
      • Chloride & organic osmolytes: a hybrid strategy to cope with elevated salinities by the moderately halophilic, chloride-dependent bacterium Halobacillus halophilus. Saum S., Pfeiffer F., Palm P., Rampp M., Schuster S., Mueller V., Oesterhelt D., Environmental Microbiology (2013). doi: 10.1111/j.1462-2920.2012.02770.x
      • Marek A., Blum V., Johanni R., Havu V., Lang B., Auckenthaler T., Heinecke A., Bungartz H.-J, and Lederer H.: The ELPA library - Scalable parallel Eigenvalü Solutions for Electronic Structure Theory and Computational Science, psi-k.org, Scientific Highlight, 2013
      • Hanke F., Müller B., Wongwathanarat A., Marek A., and Janka H.-Th..: SASI Activity in Three-dimensional Neutrino-hydrodynamics Simulations of Supernova Cores, Astrophysical Journal, 770, 2013
      • Müller B., Janka H.-Th., Marek A.: A New Multi-Dimensional General Relativistic Neutrino Hydrodynamics Code of Core-Collapse Supernovae III. Gravitational Wave Signals from Supernova Explosion Models, Astrophysical Journal, 766, 2013

      2012

      • A parallel Grad-Shafranov solver for real-time control of tokamak plasmas . Rampp, M.; Preuss, R.; Fischer, R.; Hallatschek, K.; Giannone, L. Fusion Science & Technology, 62(3) 409-418 (2012).
      • Parallel equilibrium algorithm for real-time control of tokamak plasmas. Preuss, R.; Fischer, R.; Rampp, M.; Hallatschek, K.; von Toussaint, U.; Giannone, L.; McCarthy, P., IPP-Report R/47 (2012)
      • Ugliano M., Janka H.-Th., Marek A., Arcones, A: Progenitor-explosion Connection and Remnant Birth Masses for Neutrino-driven Supernovae of Iron-core Progenitors, APJ, vol 757, 2012
      • Müller B., Janka H.-Th., Marek A.: A New Multi-dimensional General Relativistic Neutrino Hydrodynamics Code for Core-collapse Supernovae. II. Relativistic Explosion Models of Core-collapse Supernovae, APJ, vol 756, 2012
      • Hanke F., Marek A., Müller B., Janka H.-Th.: Is Strong SASI Activity the Key to Successful Neutrino-driven Supernova Explosions?, APJ, vol 755, 2012

      2011 and earlier

       

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