Publications by Stefano Markidis

Refereegranskade

Artiklar

[1]

D. Massaro et al., "Direct numerical simulation of the turbulent flow around a Flettner rotor," Scientific Reports, vol. 14, no. 1, 2024.

[2]

N. Jansson et al., "Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics," Computers & Fluids, vol. 275, pp. 106243-106243, 2024.

[3]

A. Afzal et al., "Making applications faster by asynchronous execution : Slowing down processes or relaxing MPI collectives," Future generations computer systems, vol. 148, pp. 472-487, 2023.

[4]

C. Pagliantini, G. L. Delzanno and S. Markidis, "Physics-based adaptivity of a spectral method for the Vlasov–Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space," Journal of Computational Physics, vol. 488, 2023.

[5]

S. Markidis, "Programming Quantum Neural Networks on NISQ Systems : An Overview of Technologies and Methodologies," Entropy, vol. 25, no. 4, 2023.

[6]

M. Flatken et al., "VESTEC : Visual Exploration and Sampling Toolkit for Extreme Computing," IEEE Access, vol. 11, pp. 87805-87834, 2023.

[7]

M. Natarajan Arul et al., "A Review on Parallel Virtual Screening Softwares for High-Performance Computers," Pharmaceuticals, vol. 15, no. 1, pp. 63, 2022.

[8]

F. Liu, A. Fredriksson and S. Markidis, "A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization," Journal of Supercomputing, vol. 78, no. 16, pp. 17513-17542, 2022.

[9]

M. Atzori et al., "In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst," Journal of Supercomputing, vol. 78, no. 3, pp. 3605-3620, 2022.

[10]

S. Markidis, "On physics-informed neural networks for quantum computers," FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, vol. 8, 2022.

[11]

V. Olshevsky et al., "Automated Classification of Plasma Regions Using 3D Particle Energy Distributions," Journal of Geophysical Research - Space Physics, vol. 126, no. 10, 2021.

[12]

I. Zaitsev et al., "Cold ion energization at separatrices during magnetic reconnection," Physics of Plasmas, vol. 28, no. 3, 2021.

[13]

S. Markidis, "The Old and the New : Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?," Frontiers In Big Data, vol. 4, 2021.

[14]

G. Kestor, D. Li and S. Markidis, "Welcome Message from AI4S Workshop," Proceedings IEEE International Conference on Cluster Computing, vol. 2021-September, 2021.

[15]

A. Divin et al., "A Fully Kinetic Perspective of Electron Acceleration around a Weakly Outgassing Comet," Astrophysical Journal Letters, vol. 889, no. 2, 2020.

[16]

Y. Chen et al., "Magnetohydrodynamic With Embedded Particle-In-Cell Simulation of the Geospace Environment Modeling Dayside Kinetic Processes Challenge Event," Earth and Space Science, vol. 7, no. 11, 2020.

[17]

F. O'Donncha et al., "AllScale toolchain pilot applications : PDE based solvers using a parallel development environment," Computer Physics Communications, 2019.

[18]

C. P. Sishtla et al., "Electron trapping in the coma of a weakly outgassing comet," Physics of Plasmas, vol. 26, no. 10, 2019.

[19]

H. Zhou et al., "Embedded Kinetic Simulation of Ganymede's Magnetosphere : Improvements and Inferences," Journal of Geophysical Research - Space Physics, vol. 124, no. 7, pp. 5441-5460, 2019.

[20]

A. Divin et al., "Inner and outer electron diffusion region of antiparallel collisionless reconnection : Density dependence," Physics of Plasmas, vol. 26, no. 10, 2019.

[21]

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.

[22]

M. Wallden et al., "Memory Efficient Load Balancing for Distributed Large-Scale Volume Rendering Using a Two-Layered Group Structure," IEICE transactions on information and systems, vol. E102D, no. 12, pp. 2306-2316, 2019.

[23]

S. Narasimhamurthy et al., "SAGE : Percipient Storage for Exascale Data Centric Computing," Parallel Computing, vol. 83, pp. 22-33, 2019.

[24]

Y. Chen et al., "Studying Dawn-Dusk Asymmetries of Mercury's Magnetotail Using MHD-EPIC Simulations," Journal of Geophysical Research - Space Physics, vol. 124, no. 11, pp. 8954-8973, 2019.

[25]

D. B. Korovinskiy et al., "The transition from "double-gradient" to ballooning unstable mode in bent magnetotail-like current sheet," Physics of Plasmas, vol. 26, no. 10, 2019.

[26]

P. Thoman et al., "A taxonomy of task-based parallel programming technologies for high-performance computing," Journal of Supercomputing, vol. 74, no. 4, pp. 1422-1434, 2018.

[27]

I. B. Peng et al., "Characterizing the performance benefit of hybrid memory system for HPC applications," Parallel Computing, vol. 76, pp. 57-69, 2018.

[28]

S. Rivas-Gomez et al., "MPI windows on storage for HPC applications," Parallel Computing, vol. 77, pp. 38-56, 2018.

[29]

Y. Yu et al., "PIC simulations of wave-particle interactions with an initial electron velocity distribution from a kinetic ring current model," Journal of Atmospheric and Solar-Terrestrial Physics, vol. 177, pp. 169-178, 2018.

[30]

S. Markidis et al., "PolyPIC : The polymorphic-particle-in-cell method for fluid-kinetic coupling," Frontiers in Physics, vol. 6, no. OCT, 2018.

[31]

Y. Ma et al., "Reconnection in the Martian Magnetotail : Hall-MHD With Embedded Particle-in-Cell Simulations," Journal of Geophysical Research - Space Physics, vol. 123, no. 5, pp. 3742-3763, 2018.

[32]

V. K. Jordanova et al., "Specification of the near-Earth space environment with SHIELDS," Journal of Atmospheric and Solar-Terrestrial Physics, vol. 177, pp. 148-159, 2018.

[33]

J. Deca et al., "Electron and Ion Dynamics of the Solar Wind Interaction with a Weakly Outgassing Comet," Physical Review Letters, vol. 118, no. 20, 2017.

[34]

Yu. V. Khotyaintsev et al., "Energy conversion at dipolarization fronts," Geophysical Research Letters, vol. 44, no. 3, pp. 1234-1242, 2017.

[35]

G. Lapenta et al., "Energy exchanges in reconnection outflows," Plasma Physics and Controlled Fusion, vol. 59, no. 1, 2017.

[36]

Y. Chen et al., "Global Three-Dimensional Simulation of Earth's Dayside Reconnection Using a Two-Way Coupled Magnetohydrodynamics With Embedded Particle-in-Cell Model : Initial Results," Journal of Geophysical Research - Space Physics, vol. 122, no. 10, pp. 10318-10335, 2017.

[37]

M. E. Innocenti et al., "Progress towards physics-based space weather forecasting with exascale computing," Advances in Engineering Software, vol. 111, pp. 3-17, 2017.

[38]

G. Toth et al., "Scaling the Ion Inertial Length and Its Implications for Modeling Reconnection in Global Simulations," Journal of Geophysical Research - Space Physics, vol. 122, no. 10, pp. 10336-10355, 2017.

[39]

M. E. Innocenti et al., "Switch-off slow shock/rotational discontinuity structures in collisionless magnetic reconnection : What to look for in satellite observations," Geophysical Research Letters, vol. 44, no. 8, pp. 3447-3455, 2017.

[40]

G. Manzini et al., "A Legendre-Fourier spectral method with exact conservation laws for the Vlasov-Poisson system," Journal of Computational Physics, vol. 317, pp. 82-107, 2016.

[41]

A. Divin et al., "A new model for the electron pressure nongyrotropy in the outer electron diffusion region," Geophysical Research Letters, vol. 43, no. 20, pp. 10565-10573, 2016.

[42]

G. Toth et al., "Extended magnetohydrodynamics with embedded particle-in-cell simulation of Ganymede's magnetosphere," Journal of Geophysical Research - Space Physics, vol. 121, no. 2, pp. 1273-1293, 2016.

[43]

M. E. Innocenti et al., "Grid coupling mechanism in the semi-implicit adaptive Multi-Level Multi-Domain method," Journal of Physics, Conference Series, vol. 719, no. 1, 2016.

[44]

V. Olshevsky et al., "Magnetic Null Points In Kinetic Simulations of Space Plasmas," Astrophysical Journal, vol. 819, no. 1, 2016.

[45]

M. E. Innocenti et al., "Momentum conservation in Multi-Level Multi-Domain (MLMD) simulations," Journal of Computational Physics, vol. 312, pp. 14-18, 2016.

[46]

J. Gong et al., "Nekbone performance on GPUs with OpenACC and CUDA Fortran implementations," Journal of Supercomputing, vol. 72, no. 11, pp. 4160-4180, 2016.

[47]

E. Cazzola et al., "On the electron agyrotropy during rapid asymmetric magnetic island coalescence in presence of a guide field," Geophysical Research Letters, vol. 43, no. 15, pp. 7840-7849, 2016.

[48]

E. Cazzola et al., "On the ions acceleration via collisionless magnetic reconnection in laboratory plasmas," Physics of Plasmas, vol. 23, no. 11, 2016.

[49]

A. Johlander et al., "Rippled Quasiperpendicular Shock Observed by the Magnetospheric Multiscale Spacecraft," Physical Review Letters, vol. 117, no. 16, 2016.

[50]

M. E. Innocenti et al., "Study of electric and magnetic field fluctuations from lower hybrid drift instability waves in the terrestrial magnetotail with the fully kinetic, semi-implicit, adaptive multi level multi domain method," Physics of Plasmas, vol. 23, no. 5, 2016.

[51]

J. Deca et al., "Three-dimensional full-kinetic simulation of the solar wind interaction with a vertical dipolar lunarmagnetic anomaly," Geophysical Research Letters, vol. 43, no. 9, pp. 4136-4144, 2016.

[52]

A. Divin et al., "Three-scale structure of diffusion region in the presence of cold ions," Journal of Geophysical Research - Space Physics, vol. 121, no. 12, pp. 12,001-12,013, 2016.

[53]

G. Lapenta et al., "Where should MMS look for electron diffusion regions?," Journal of Physics, Conference Series, vol. 719, no. 1, 2016.

[54]

V. Olshevsky et al., "ENERGY DISSIPATION IN MAGNETIC NULL POINTS AT KINETIC SCALES," Astrophysical Journal, vol. 807, no. 2, 2015.

[55]

I. B. Peng et al., "Energetic particles in magnetotail reconnection," Journal of Plasma Physics, vol. 81, 2015.

[56]

M. Innocenti et al., "Evidence of magnetic field switch-off in collisionless magnetic reconnection," Astrophysical Journal Letters, vol. 810, no. 2, 2015.

[57]

A. Divin et al., "Evolution of the lower hybrid drift instability at reconnection jet front," Journal of Geophysical Research - Space Physics, vol. 120, no. 4, pp. 2675-2690, 2015.

[58]

J. Deca et al., "General mechanism and dynamics of the solar wind interaction with lunar magnetic anomalies from 3-D particle-in-cell simulations," Journal of Geophysical Research - Space Physics, vol. 120, no. 8, pp. 6443-6463, 2015.

[59]

S. Markidis et al., "Idle waves in high-performance computing," Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 91, no. 1, pp. 013306, 2015.

[60]

A. Vapirev et al., "Initial results on computational performance of Intel many integrated core, sandy bridge, and graphical processing unit architectures : implementation of a 1D c++/OpenMP electrostatic particle-in-cell code," Concurrency and Computation, vol. 27, no. 3, pp. 581-593, 2015.

[61]

M. E. Innocenti et al., "Introduction of temporal sub-stepping in the Multi-Level Multi-Domain semi-implicit Particle-In-Cell code Parsek2D-MLMD," Computer Physics Communications, vol. 189, pp. 47-59, 2015.

[62]

I. B. Peng et al., "Kinetic structures of quasi-perpendicular shocks in global particle-in-cell simulations," Physics of Plasmas, vol. 22, no. 9, 2015.

[63]

S. Eriksson et al., "On Multiple Reconnection X-Lines and Tripolar Perturbations of Strong Guide Magnetic Fields," Astrophysical Journal, vol. 805, no. 1, 2015.

[64]

E. Cazzola et al., "On the electron dynamics during island coalescence in asymmetric magnetic reconnection," Physics of Plasmas, vol. 22, no. 9, 2015.

[65]

S. Markidis et al., "OpenACC acceleration of the Nek5000 spectral element code," The international journal of high performance computing applications, vol. 29, no. 3, pp. 311-319, 2015.

[66]

V. Olshevsky et al., "Role of Z-pinches in magnetic reconnection in space plasmas," Journal of Plasma Physics, vol. 81, no. 1, 2015.

[67]

G. Lapenta et al., "Secondary reconnection sites in reconnection-generated flux ropes and reconnection fronts," Nature Physics, vol. 11, no. 8, pp. 690-+, 2015.

[68]

G. Lapenta et al., "Separatrices : The crux of reconnection," Journal of Plasma Physics, vol. 81, no. 1, 2015.

[69]

D. B. Korovinskiy et al., "The double-gradient magnetic instability : Stabilizing effect of the guide field," Physics of Plasmas, vol. 22, no. 1, 2015.

[70]

M. V. Goldman et al., "Cerenkov Emission of Quasiparallel Whistlers by Fast Electron Phase-Space Holes during Magnetic Reconnection," Physical Review Letters, vol. 112, no. 14, pp. 145002, 2014.

[71]

R. Marchand et al., "Cross-comparison of spacecraft-environment interaction model predictions applied to Solar Probe Plus near perihelion," Physics of Plasmas, vol. 21, no. 6, pp. 062901, 2014.

[72]

J. Deca et al., "Electromagnetic Particle-in-Cell Simulations of the Solar Wind Interaction with Lunar Magnetic Anomalies," Physical Review Letters, vol. 112, no. 15, pp. 151102, 2014.

[73]

G. Lapenta et al., "Electromagnetic energy conversion in downstream fronts from three dimensional kinetic reconnection," Physics of Plasmas, vol. 21, no. 5, pp. 055702, 2014.

[74]

A. Beck et al., "Multi-level multi-domain algorithm implementation for two-dimensional multiscale particle in cell simulations," Journal of Computational Physics, vol. 271, pp. 430-443, 2014.

[75]

M. Markidis et al., "Signatures of secondary collisionless magnetic reconnection driven by kink instability of a flux rope," Plasma Physics and Controlled Fusion, vol. 56, no. 6, pp. 064010, 2014.

[76]

S. Markidis et al., "The Fluid-Kinetic Particle-in-Cell method for plasma simulations," Journal of Computational Physics, vol. 271, pp. 415-429, 2014.

[77]

L. K. S. Daldorff et al., "Two-way coupling of a global Hall magnetohydrodynamics model with a local implicit particle-in-cell model," Journal of Computational Physics, vol. 268, pp. 236-254, 2014.

[78]

M. E. Innocenti et al., "A Multi Level Multi Domain Method for Particle In Cell plasma simulations," Journal of Computational Physics, vol. 238, pp. 115-140, 2013.

[79]

K. Stasiewicz et al., "Acceleration of solar wind ions to 1 MeV by electromagnetic structures upstream of the Earth's bow shock," Europhysics letters, vol. 102, no. 4, pp. 49001, 2013.

[80]

V. Olshevsky, G. Lapenta and S. Markidis, "Energetics of Kinetic Reconnection in a Three-Dimensional Null-Point Cluster," Physical Review Letters, vol. 111, no. 4, pp. 045002, 2013.

[81]

A. E. Vapirev et al., "Formation of a transient front structure near reconnection point in 3-D PIC simulations," Journal of Geophysical Research, vol. 118, no. 4, pp. 1435-1449, 2013.

[82]

A. L. Restante et al., "Geometrical investigation of the kinetic evolution of the magnetic field in a periodic flux rope," Physics of Plasmas, vol. 20, no. 8, pp. 082501, 2013.

[83]

S. Markidis et al., "Kinetic simulations of plasmoid chain dynamics," Physics of Plasmas, vol. 20, no. 8, pp. 082105, 2013.

[84]

D. B. Korovinskiy et al., "MHD modeling of the double-gradient (kink) magnetic instability," Journal of Geophysical Research, vol. 118, no. 3, pp. 1146-1158, 2013.

[85]

P. Henri et al., "Nonlinear evolution of the magnetized Kelvin-Helmholtz instability : From fluid to kinetic modeling," Physics of Plasmas, vol. 20, no. 10, pp. 102118, 2013.

[86]

G. Lapenta et al., "Propagation speed of rotation signals for field lines undergoing magnetic reconnection," Physics of Plasmas, vol. 20, no. 10, pp. 102113, 2013.

[87]

G. Lapenta et al., "SWIFF : Space weather integrated forecasting framework," Journal of Space Weather and Space Climate, vol. 3, pp. A05, 2013.

[88]

G. Lapenta et al., "Space Weather Prediction and Exascale Computing," Computing in science & engineering (Print), vol. 15, no. 5, pp. 68-76, 2013.

[89]

J. Deca et al., "Spacecraft charging analysis with the implicit particle-in-cell code iPic3D," Physics of Plasmas, vol. 20, no. 10, pp. 102902, 2013.

[90]

S. Markidis et al., "Collisionless magnetic reconnection in a plasmoid chain," Nonlinear processes in geophysics, vol. 19, no. 1, pp. 145-153, 2012.

[91]

A. Divin et al., "Numerical simulations of separatrix instabilities in collisionless magnetic reconnection," Physics of Plasmas, vol. 19, no. 4, pp. 042110, 2012.

[92]

A. Divin et al., "Scaling of the inner electron diffusion region in collisionless magnetic reconnection," Journal of Geophysical Research, vol. 117, pp. A06217, 2012.

[93]

S. Markidis et al., "Three dimensional density cavities in guide field collisionless magnetic reconnection," Physics of Plasmas, vol. 19, no. 3, pp. 032119, 2012.

Konferensbidrag

[94]

M. I. Andersson, F. Liu and S. Markidis, "Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems," in Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP), 2024, pp. 39-52.

[95]

M. Andersson and S. Markidis, "A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms," in Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region : 2023, 2023.

[96]

M. Andersson et al., "Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software," in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023, pp. 333-345.

[97]

J. J. Williams et al., "Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code," in SC23 Proccedings : The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2023.

[98]

F. Liu et al., "Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans," in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023.

[99]

S. Markidis, "Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google's qsim," in Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, 2023, pp. 1478-1486.

[100]

A. Afzal et al., "Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications," in Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Revised Selected Papers, 2023, pp. 155-170.

[101]

N. Jansson et al., "Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations," in SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2023, pp. 1-9.

[102]

Y. He et al., "FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries," in Euro-Par 2022 : Parallel Processing Workshops: Euro-Par 2022 International Workshops, Glasgow, UK, August 22–26, 2022, Revised Selected Papers, 2023, pp. 80-92.

[103]

N. Pornthisan and S. Markidis, "Fast Electromagnetic Field Pattern Calculation with Fourier Neural Operators," in Computational Science – ICCS 2023 - 23rd International Conference, Proceedings, 2023, pp. 247-255.

[104]

S. W.D. Chien et al., "Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications," in Proceedings of the 7th Asia-Pacific Workshop on Networking, APNET 2023, 2023, pp. 172-173.

[105]

Y. Ju et al., "In-Situ Techniques on GPU-Accelerated Data-Intensive Applications," in Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023, 2023.

[106]

J. J. Williams et al., "Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations," in arXiv:2306.16512, 2023.

[107]

D. Araújo De Medeiros, S. Markidis and I. B. Peng, "LibCOS : Enabling Converged HPC and Cloud Data Stores with MPI," in Proceedings of International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2023, 2023, pp. 106-116.

[108]

J. Faj et al., "MPI Performance Analysis in Vlasiator : Unraveling Communication Bottlenecks," in SC23 Proccedings : The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2023.

[109]

F. Liu, A. Fredriksson and S. Markidis, "Parallel Cholesky Factorization for Banded Matrices Using OpenMP Tasks," in Euro-Par 2023 : Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Proceedings, 2023, pp. 725-739.

[110]

G. Netzer and S. Markidis, "QHDL : a Low-Level Circuit Description Language for Quantum Computing," in Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, 2023, pp. 201-204.

[111]

M. Karp et al., "Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow," in Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, 2023, pp. 387-390.

[112]

M. Karp et al., "A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges," in HPCAsia2022: International Conference on High Performance Computing in Asia-Pacific Region, 2022, pp. 125-136.

[113]

W. Der Chien et al., "NoaSci : A Numerical Object Array Library for I/O of Scientific Applications on Object Storage," in 2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, 2022.

[114]

M. Karp et al., "Reducing Communication in the Conjugate Gradient Method : A Case Study on High-Order Finite Elements," in Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2022, 2022.

[115]

J. Vincent et al., "Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems," in HPCAsia2022 : International Conference on High Performance Computing in Asia-Pacific Region, 2022, pp. 94-102.

[116]

Y. Ju et al., "Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications," in 2022 IEEE 18TH INTERNATIONAL CONFERENCE ON E-SCIENCE (ESCIENCE 2022), 2022, pp. 295-305.

[117]

N. Brown et al., "Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making," in High Performance Computing, Isc High Performance 2022 International Workshops, 2022, pp. 233-244.

[118]

X. Aguilar and S. Markidis, "A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations," in 2021 IEEE International Conference On Cluster Computing (CLUSTER 2021), 2021, pp. 692-697.

[119]

F. Liu et al., "Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs," in IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021.

[120]

S. Markidis et al., "HPDC 2021 Welcome Message," in HPDC 2021 - Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021, pp. III-IV.

[121]

M. Svedin et al., "Higgs Boson Classification : Brain-inspired BCPNN Learning with StreamBrain," in 2021 IEEE International Conference On Cluster Computing (CLUSTER 2021), 2021, pp. 705-710.

[122]

M. Karp et al., "High-Perfomance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection," in Proceedings of the 35rd IEEE International Parallel & Distributed Processing Symposium, May 17-21, 2021 Portland, Oregon, USA, 2021.

[123]

T. Dykes et al., "Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems," in 2021 International Workshop on Performance, Portability and Productivity in HPC (P3HPC), 2021.

[124]

A. Podobas et al., "StreamBrain : An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs," in ACM International Conference Proceeding Series, 2021.

[125]

S. Markidis et al., "Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking," in Proceedings of PDSW 2021: IEEE/ACM 6th International Parallel Data Systems Workshop, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2021, pp. 9-14.

[126]

N. Brown et al., "Utilising urgent computing to tackle the spread of mosquito-borne diseases," in Proceedings of Urgenthpc 2021 : The Third International Workshop On Hpc For Urgent Decision Making, 2021, pp. 36-44.

[127]

S. Markidis et al., "Automatic Particle Trajectory Classification in Plasma Simulations," in 2020 IEEE/ACM workshop on machine learning in high performance computing environments (mlhpc 2020) and workshop on artificial intelligence and machine learning for scientific applications (ai4s 2020), 2020, pp. 64-71.

[128]

H. Pierre et al., "Fluid and kinetic modelling of the magnetized Kelvin-Helmholtz instability," in ETC 2013 - 14th European Turbulence Conference, 2020.

[129]

M. Karp et al., "Optimization of Tensor-product Operations in Nekbone on GPUs," in The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020, 2020.

[130]

W. Der Chien, I. B. Peng and S. Markidis, "Posit NPB : Assessing the precision improvement in HPC scientific applications," in Lecture Notes in Computer Science, 2020, pp. 301-310.

[131]

W. Der Chien et al., "SputniPIC : An implicit particle-in-cell code for multi-GPU systems," in Proceedings - Symposium on Computer Architecture and High Performance Computing, 2020, pp. 149-156.

[132]

S. W. D. Chien et al., "Tf-Darshan : Understanding Fine-grained I/O Performance in Machine Learning Workloads," in Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2020, pp. 359-370.

[133]

I. B. Peng et al., "Analyzing the Suitability of Contemporary 3D-Stacked PIM Architectures for HPC Scientific Applications," in CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, 2019, pp. 256-262.

[134]

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.

[135]

C. P. Sishtla et al., "Multi-GPU acceleration of the iPIC3D implicit particle-in-cell code," in Proceedings Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part V, 2019, pp. 612-618.

[136]

C. P. Sishtla et al., "Particle-in-Cell Simulations of Plasma Dynamics in Cometary Environment," in Journal of Physics : Conference Series, 2019.

[137]

W. Der Chien, I. Peng and S. Markidis, "Performance evaluation of advanced features in CUDA unified memory," in Proceedings of MCHPC 2019 : Workshop on Memory Centric High Performance Computing - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2019, pp. 50-57.

[138]

S. Rivas-Gomez et al., "Persistent Coarrays : Integrating MPI Storage Windows in Coarray Fortran," in Proceedings of the 26th European MPI Users' Group Meeting (EuroMPI 2019), 2019, pp. 1-8.

[139]

S. W. Der Chien et al., "TensorFlow Doing HPC An Evaluation of TensorFlow Performance in HPC Applications," in 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019, pp. 509-518.

[140]

S. Rivas-Gomez et al., "uMMAP-IO : User-level Memory-mapped I/O for HPC," in Proceedings of the 26th IEEE International Conference on High-Performance Computing, Data, and Analytics (HiPC'19),, 2019, pp. 363-372.

[141]

P. Thoman et al., "A Taxonomy of Task-Based Technologies for High-Performance Computing," in PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT II, 2018, pp. 264-274.

[142]

S. W. Der Chien et al., "An Evaluation of the TensorFlow Programming Model for Solving Traditional HPC Problems," in Proceedings of the 5th International Conference on Exascale Applications and Software, 2018, p. 34.

[143]

S. W. D. Chien et al., "Characterizing Deep-Learning I/O Workloads in TensorFlow," in Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2018, pp. 54-63.

[144]

M. A. Al Ahad et al., "Efficient Algorithms for Collective Operations with Notified Communication in Shared Windows," in PROCEEDINGS OF PAW-ATM18 : 2018 IEEE/ACM PARALLEL APPLICATIONS WORKSHOP, ALTERNATIVES TO MPI (PAW-ATM), 2018, pp. 1-10.

[145]

S. Rivas-Gomez et al., "Exploring the vision processing unit as co-processor for inference," in Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018, 2018, pp. 589-598.

[146]

D. Akhmetova et al., "Interoperability of GASPI and MPI in large scale scientific applications," in 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, 2018, pp. 277-287.

[147]

S. Markidis et al., "NVIDIA tensor core programmability, performance & precision," in Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018, 2018, pp. 522-531.

[148]

S. Narasimhamurthy et al., "The SAGE project : A storage centric approach for exascale computing," in 2018 ACM International Conference on Computing Frontiers, CF 2018 - Proceedings, 2018, pp. 287-292.

[149]

I. B. Peng et al., "Exploring Application Performance on Emerging Hybrid-Memory Supercomputers," in Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 2017, pp. 473-480.

[150]

I. B. Peng et al., "Exploring the performance benefit of hybrid memory system on HPC environments," in Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 2017, pp. 683-692.

[151]

S. Rivas-Gomez et al., "Extending message passing interface windows to storage," in Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, 2017, pp. 728-730.

[152]

I. B. Peng et al., "Idle period propagation in message-passing applications," in Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 2017, pp. 937-944.

[153]

I. B. Peng et al., "MPI Streams for HPC Applications," in New Frontiers in High Performance Computing and Big Data, 2017, pp. 75-92.

[154]

S. Rivas-Gomez et al., "MPI windows on storage for HPC applications," in ACM International Conference Proceeding Series, 2017.

[155]

I. B. Peng et al., "Preparing HPC Applications for the Exascale Era: A Decoupling Strategy," in 2017 46th International Conference on Parallel Processing (ICPP), 2017, pp. 1-10.

[156]

I. B. Peng et al., "RTHMS : A Tool for Data Placement on Hybrid Memory System," in Proceedings of the 2017 ACM SIGPLAN International Symposium on Memory Management, ISMM 2017, 2017, pp. 82-91.

[157]

S. Markidis et al., "A performance characterization of streaming computing on supercomputers," in Procedia Computer Science, 2016, pp. 98-107.

[158]

E. Cazzola et al., "Electrons dynamics in asymmetric magnetic reconnection and rapid island coalescence : Anisotropy and agyrotropywith andwithout a guide field," in 43rd European Physical Society Conference on Plasma Physics, EPS 2016, 2016.

[159]

S. Markidis et al., "The EPiGRAM Project : Preparing Parallel Programming Models for Exascale," in HIGH PERFORMANCE COMPUTING, ISC HIGH PERFORMANCE 2016 INTERNATIONAL WORKSHOPS, 2016, pp. 56-68.

[160]

I. B. Peng et al., "A Data streaming model in MPI," in Proceedings of the 3rd ExaMPI Workshop at the International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2015, 2015.

[161]

I. Ivanov et al., "Evaluation of Parallel Communication Models in Nekbone, a Nek5000 mini-application," in 2015 IEEE International Conference on Cluster Computing, 2015, pp. 760-767.

[162]

J. Gong et al., "Nek5000 with OpenACC," in Solving software challenges for exascale, 2015, pp. 57-68.

[163]

J. Gong et al., "NekBone with Optimizaed OpenACC directives," in the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015), 2015, pp. 63-70.

[164]

D. Akhmetova et al., "On the application task granularity and the interplay with the scheduling overhead in many-core shared memory systems," in Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2015, pp. 428-437.

[165]

S. Markidis and E. Laure, "Solving software challenges for exascale : International Conference on Exascale Applications and Software, EASC 2014 Stockholm, Sweden, April 2–3, 2014 revised selected papers," in International Conference on Exascale Applications and Software, EASC 2014, 2015.

[166]

J. Vencels et al., "Spectral solver for multi-scale plasma physics simulations with dynamically adaptive number of moments," in Procedia Computer Science, 2015, pp. 1148-1157.

[167]

I. B. Peng, S. Markidis and E. Laure, "The cost of synchronizing imbalanced processes in message passing systems," in Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2015, pp. 408-417.

[168]

B. Peng et al., "The formation of a magnetosphere with implicit Particle-in-Cell simulations," in Procedia Computer Science, 2015, pp. 1178-1187.

[169]

D. Korovinskiy et al., "MHD Modeling of the Kink "Double-gradient" Branch of the Ballooning Instability in the Magnetotail," in NUMERICAL MODELING OF SPACE PLASMA FLOWS : ASTRONUM-2013, 2014, pp. 149-154.

[170]

P. Kumar et al., "High performance solvers for implicit particle in cell simulation," in 2013 International Conference on Computational Science, 2013, pp. 2251-2258.

Icke refereegranskade

Konferensbidrag

[171]

R. Iakymchuk et al., "A Particle-in-Cell Method for Automatic Load-Balancing with the AllScale Environment," in The Exascale Applications & Software Conference (EASC2016), 2016.

[172]

I. Ivanov et al., "Evaluating New Communication Models in the Nek5000 Code for Exascale," in EASC2015, 2015.

[173]

J. Gong et al., "OpenACC Acceleration of Nek5000 : a Spectral Element Code," in Exascale Applications and Software Conference; Edinburgh, Scotland, UK, 9-11 April 2013, 2013.

[174]

S. Markidis et al., "Paving the path to exascale computing with CRESTA development environment," in Exascale Software and Applications Conference, 2013.