Publikationer av 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, s. 106243-106243, 2024.

[3]

A. Afzal et al., "Making applications faster by asynchronous execution : Slowing down processes or relaxing MPI collectives," Future Generation Computer Systems, vol. 148, s. 472-487, 2023.

[4]

C. Pagliantini, G. L. Delzanno och 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, s. 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, s. 63, 2022.

[8]

F. Liu, A. Fredriksson och S. Markidis, "A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization," Journal of Supercomputing, vol. 78, no. 16, s. 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, s. 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 och 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, s. 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, s. 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, s. 2306-2316, 2019.

[23]

S. Narasimhamurthy et al., "SAGE : Percipient Storage for Exascale Data Centric Computing," Parallel Computing, vol. 83, s. 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, s. 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, s. 1422-1434, 2018.

[27]

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

[28]

S. Rivas-Gomez et al., "MPI windows on storage for HPC applications," Parallel Computing, vol. 77, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 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, s. 064010, 2014.

[76]

S. Markidis et al., "The Fluid-Kinetic Particle-in-Cell method for plasma simulations," Journal of Computational Physics, vol. 271, s. 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, s. 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, s. 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, s. 49001, 2013.

[80]

V. Olshevsky, G. Lapenta och S. Markidis, "Energetics of Kinetic Reconnection in a Three-Dimensional Null-Point Cluster," Physical Review Letters, vol. 111, no. 4, s. 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, s. 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, s. 082501, 2013.

[83]

S. Markidis et al., "Kinetic simulations of plasmoid chain dynamics," Physics of Plasmas, vol. 20, no. 8, s. 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, s. 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, s. 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, s. 102113, 2013.

[87]

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

[88]

G. Lapenta et al., "Space Weather Prediction and Exascale Computing," Computing in science & engineering (Print), vol. 15, no. 5, s. 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, s. 102902, 2013.

[90]

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

[91]

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

[92]

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

[93]

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

Konferensbidrag

[94]

M. Andersson, F. Liu och S. Markidis, "Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems," i 2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024, 2024, s. 39-51.

[95]

P. R. Hegde et al., "Beyond the Buzz : Strategic Paths for Enabling Useful NISQ Applications," i Proceedings of the 21st ACM International Conference on Computing Frontiers, CF 2024, 2024, s. 310-313.

[96]

G. Schieffer et al., "Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU," i Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, 2024, s. 294-305.

[97]

S. Markidis, "Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers," i Computational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings, 2024, s. 331-345.

[98]

J. Trilaksono et al., "Characterizing the Performance of the GENE-X Code for Gyrokinetic Turbulence Simulations," i SC24 Proccedings : The International Conference for High Performance Computing, Networking, Storage, and Analysis, November 17–22, 2024.

[99]

J. J. Williams et al., "Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring," i 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 2024.

[100]

D. Araújo De Medeiros et al., "IO-SEA: Storage I/O and Data Management for Exascale Architectures," i Proceedings of the 21st ACM International Conference on Computing Frontiers 2024 Workshops and Special Sessions, CF 2024 Companion, 2024, s. 94-100.

[101]

C. Coti et al., "Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization," i IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 27-31, San Francisco, California, USA., 2024.

[102]

F. Liu, A. Fredriksson och S. Markidis, "Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines," i Computational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings, 2024, s. 63-77.

[103]

J. J. Williams et al., "Leveraging HPC Profiling and Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations," i Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, 2024, s. 123-134.

[104]

Y. He, A. Podobas och S. Markidis, "Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries," i Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, 2024, s. 207-218.

[105]

S. Markidis, M. Gokhale och I. B. Peng, "Message from the ICPP'24 Chairs," i ACM International Conference Proceeding Series, 2024.

[106]

I. B. Peng et al., "OpenCUBE : Building an Open Source Cloud Blueprint with EPI Systems," i Euro-Par 2023 : Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers, 2024, s. 260-264.

[107]

J. J. Williams et al., "Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration," i 24th International Conference on Computational Science, Málaga, Spain, July 2-4, Part I, LNCS 14832, 2024.

[108]

P. R. Hegde och S. Markidis, "Quantum Physics Informed Neural Networks," i 53rd International Conference on Parallel Processing, ICPP 2024 - Workshops Proceedings, 2024, s. 114-115.

[109]

F. Bragone et al., "Time Series Predictions Based on PCA and LSTM Networks : A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils," i Computational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings, 2024, s. 209-223.

[110]

M. Andersson, M. Karp och S. Markidis, "Towards Performance Portable Kernels for Computational Fluid Dynamics Using DaCe," i 53rd International Conference on Parallel Processing, ICPP 2024 - Workshops Proceedings, 2024, s. 110-111.

[111]

J. J. Williams et al., "Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis," i Euro-Par 2024: Parallel Processing Workshops: Euro-Par 2024 International Workshops, August 26–30, Madrid, Spain, 2024.

[112]

S. Markidis, "What is Quantum Parallelism, Anyhow?," i Research Paper Proceedings of the ISC High Performance 2024, 2024.

[113]

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

[114]

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

[115]

J. J. Williams et al., "Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code," i SC23 Proccedings : The International Conference for High Performance Computing, Networking, Storage, and Analysis, November 12–17, 2023.

[116]

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

[117]

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

[118]

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

[119]

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

[120]

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

[121]

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

[122]

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

[123]

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

[124]

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

[125]

J. Faj et al., "MPI Performance Analysis in Vlasiator : Unraveling Communication Bottlenecks," i SC23 Proccedings : The International Conference for High Performance Computing, Networking, Storage, and Analysis, November 12–17, 2023.

[126]

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

[127]

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

[128]

J. Faj et al., "Quantum Computer Simulations at Warp Speed : Assessing the Impact of GPU Acceleration," i Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023, 2023.

[129]

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

[130]

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

[131]

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

[132]

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

[133]

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

[134]

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

[135]

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

[136]

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

[137]

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

[138]

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

[139]

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Icke refereegranskade

Konferensbidrag

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