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Research papers by PDC staff

Here is a list of recently published research papers by PDC staff members. For a full list of publications by PDC staff, use the link at the end of the page.

Note that for some of the papers you might need to click on "Show others and affiliations" to see the authors from PDC. 

[1]
N. Jansson, "Spectral Element Simulations on the NEC SX-Aurora TSUBASA," in HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021.
[3]
[5]
M. Zhang, J. Gong and L. Axner, "HPC-Enabled Aerodynamic Optimization Studies Using CFD and Design Suite SU2," in Proceeding of the Work in Progress Session held in connection with the PDP 2020 Parallel, Distributed, and Network-Based Processing, 2020.
[6]
A. Santiago et al., "HPC compact quasi-Newton algorithm for interface problems," Journal of Fluids and Structures, vol. 96, 2020.
[7]
K. Marco et al., "GPU-acceleration of A High Order Finite Difference Code Using Curvilinear Coordinates," in Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things, 2020, pp. 41-47.
[8]
K. A. Jansen et al., "Molecular packing structure of fibrin fibers resolved by X-ray scattering and molecular modeling," Soft Matter, vol. 16, no. 35, pp. 8272-8283, 2020.
[9]
F. D. Tsourtou et al., "Molecular Dynamics Simulation of Amorphous Poly(3-hexylthiophene)," Macromolecules, vol. 53, no. 18, pp. 7810-7824, 2020.
[10]
S. Pall et al., "Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS," Journal of Chemical Physics, vol. 153, no. 13, 2020.
[11]
M. Zhang et al., "Automation of High-Fidelity CFD Analysis for Aircraft Design and Optimization Aided by HPC," in Proceeding of 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020, pp. 395-399.
[12]
N. Jansson, "A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers," in 2020 IEEE International Conference on Cluster Computing (CLUSTER), 2020, pp. 303-313.
[14]
T. Kjellsson Lindblom et al., "Relativistic effects in photoionizing a circular Rydberg state in the optical regime," Physical Review A: covering atomic, molecular, and optical physics and quantum information, vol. 102, no. 6, 2020.
[15]
Q. Li et al., "Skeletal Rearrangement of Twisted Thia-Norhexaphyrin : Multiply Annulated Polypyrrolic Aromatic Macrocycles," Angewandte Chemie International Edition, vol. 58, no. 18, pp. 5925-5929, 2019.
[16]
N. Jansson, "Improving Strong Scalability Limits of Finite Element Based Solvers," in 48th International Conference on Parallel Processing, Aug. 2019, Kyoto, Japan, 2019.
[17]
S. Narasimhamurthy et al., "SAGE : Percipient Storage for Exascale Data Centric Computing," Parallel Computing, vol. 83, pp. 22-33, 2019.
[18]
C. Simmendinger et al., "Interoperability strategies for GASPI and MPI in large-scale scientific applications," The international journal of high performance computing applications, vol. 33, no. 3, pp. 554-568, 2019.
[19]
E. Otero et al., "OpenACC acceleration for the PN-PN-2 algorithm in Nek5000," Journal of Parallel and Distributed Computing, vol. 132, pp. 69-78, 2019.
[20]
G. Camisasca et al., "Translational and rotational dynamics of high and low density TIP4P/2005 water," Journal of Chemical Physics, vol. 150, no. 22, 2019.
[21]
C. Kutzner et al., "More bang for your buck : Improved use of GPU nodes for GROMACS 2018," Journal of Computational Chemistry, vol. 40, no. 27, pp. 2418-2431, 2019.
[22]
G. Camisasca et al., "Radial distribution functions of water : Models vs experiments," Journal of Chemical Physics, vol. 151, no. 4, 2019.
[23]
S. Rivas Gomez et al., "Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks," in Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, 2019, pp. 921-927.
[24]
A. Souza et al., "Hybrid Resource Management for HPC and Data Intensive Workloads," in 2019 19TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2019, pp. 399-409.
[25]
M. J. Abraham et al., "Sharing Data from Molecular Simulations," Journal of Chemical Information and Modeling, vol. 59, no. 10, pp. 4093-4099, 2019.
Full list in the KTH publications portal