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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]
A. Afzal et al., "Making applications faster by asynchronous execution : Slowing down processes or relaxing MPI collectives," Future generations computer systems, vol. 148, s. 472-487, 2023.
[5]
M. Flatken et al., "VESTEC : Visual Exploration and Sampling Toolkit for Extreme Computing," IEEE Access, vol. 11, s. 87805-87834, 2023.
[6]
M. Natarajan Arul et al., "A Review on Parallel Virtual Screening Softwares for High-Performance Computers," Pharmaceuticals, vol. 15, no. 1, s. 63, 2022.
[7]
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.
[8]
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.
[9]
S. Markidis, "On physics-informed neural networks for quantum computers," FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, vol. 8, 2022.
[10]
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.
[11]
I. Zaitsev et al., "Cold ion energization at separatrices during magnetic reconnection," Physics of Plasmas, vol. 28, no. 3, 2021.
[13]
G. Kestor, D. Li och S. Markidis, "Welcome Message from AI4S Workshop," Proceedings IEEE International Conference on Cluster Computing, vol. 2021-September, 2021.
[14]
A. Divin et al., "A Fully Kinetic Perspective of Electron Acceleration around a Weakly Outgassing Comet," Astrophysical Journal Letters, vol. 889, no. 2, 2020.
[17]
C. P. Sishtla et al., "Electron trapping in the coma of a weakly outgassing comet," Physics of Plasmas, vol. 26, no. 10, 2019.
[18]
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]
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.
[21]
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.
[22]
S. Narasimhamurthy et al., "SAGE : Percipient Storage for Exascale Data Centric Computing," Parallel Computing, vol. 83, s. 22-33, 2019.
[23]
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.
[24]
[25]
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.
[26]
I. B. Peng et al., "Characterizing the performance benefit of hybrid memory system for HPC applications," Parallel Computing, vol. 76, s. 57-69, 2018.
[27]
S. Rivas-Gomez et al., "MPI windows on storage for HPC applications," Parallel Computing, vol. 77, s. 38-56, 2018.
[28]
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.
[29]
S. Markidis et al., "PolyPIC : The polymorphic-particle-in-cell method for fluid-kinetic coupling," Frontiers in Physics, vol. 6, no. OCT, 2018.
[30]
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.
[31]
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.
[32]
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.
[33]
Yu. V. Khotyaintsev et al., "Energy conversion at dipolarization fronts," Geophysical Research Letters, vol. 44, no. 3, s. 1234-1242, 2017.
[34]
G. Lapenta et al., "Energy exchanges in reconnection outflows," Plasma Physics and Controlled Fusion, vol. 59, no. 1, 2017.
[36]
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.
[37]
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]
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.
[40]
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.
[41]
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.
[42]
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.
[43]
V. Olshevsky et al., "Magnetic Null Points In Kinetic Simulations of Space Plasmas," Astrophysical Journal, vol. 819, no. 1, 2016.
[44]
M. E. Innocenti et al., "Momentum conservation in Multi-Level Multi-Domain (MLMD) simulations," Journal of Computational Physics, vol. 312, s. 14-18, 2016.
[45]
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.
[46]
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.
[47]
E. Cazzola et al., "On the ions acceleration via collisionless magnetic reconnection in laboratory plasmas," Physics of Plasmas, vol. 23, no. 11, 2016.
[48]
A. Johlander et al., "Rippled Quasiperpendicular Shock Observed by the Magnetospheric Multiscale Spacecraft," Physical Review Letters, vol. 117, no. 16, 2016.
[50]
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.
[51]
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.
[52]
G. Lapenta et al., "Where should MMS look for electron diffusion regions?," Journal of Physics, Conference Series, vol. 719, no. 1, 2016.
[53]
V. Olshevsky et al., "ENERGY DISSIPATION IN MAGNETIC NULL POINTS AT KINETIC SCALES," Astrophysical Journal, vol. 807, no. 2, 2015.
[54]
I. B. Peng et al., "Energetic particles in magnetotail reconnection," Journal of Plasma Physics, vol. 81, 2015.
[55]
M. Innocenti et al., "Evidence of magnetic field switch-off in collisionless magnetic reconnection," Astrophysical Journal Letters, vol. 810, no. 2, 2015.
[56]
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.
[57]
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.
[58]
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]
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.
[61]
[62]
S. Eriksson et al., "On Multiple Reconnection X-Lines and Tripolar Perturbations of Strong Guide Magnetic Fields," Astrophysical Journal, vol. 805, no. 1, 2015.
[63]
E. Cazzola et al., "On the electron dynamics during island coalescence in asymmetric magnetic reconnection," Physics of Plasmas, vol. 22, no. 9, 2015.
[64]
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.
[65]
V. Olshevsky et al., "Role of Z-pinches in magnetic reconnection in space plasmas," Journal of Plasma Physics, vol. 81, no. 1, 2015.
[66]
G. Lapenta et al., "Secondary reconnection sites in reconnection-generated flux ropes and reconnection fronts," Nature Physics, vol. 11, no. 8, s. 690-+, 2015.
[67]
G. Lapenta et al., "Separatrices : The crux of reconnection," Journal of Plasma Physics, vol. 81, no. 1, 2015.
[68]
D. B. Korovinskiy et al., "The double-gradient magnetic instability : Stabilizing effect of the guide field," Physics of Plasmas, vol. 22, no. 1, 2015.
[69]
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]
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.
[72]
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.
[73]
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.
[74]
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.
[75]
S. Markidis et al., "The Fluid-Kinetic Particle-in-Cell method for plasma simulations," Journal of Computational Physics, vol. 271, s. 415-429, 2014.
[76]
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.
[77]
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.
[78]
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.
[79]
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.
[80]
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.
[81]
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.
[82]
S. Markidis et al., "Kinetic simulations of plasmoid chain dynamics," Physics of Plasmas, vol. 20, no. 8, s. 082105, 2013.
[83]
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.
[84]
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.
[85]
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.
[86]
G. Lapenta et al., "SWIFF : Space weather integrated forecasting framework," Journal of Space Weather and Space Climate, vol. 3, s. A05, 2013.
[87]
G. Lapenta et al., "Space Weather Prediction and Exascale Computing," Computing in science & engineering (Print), vol. 15, no. 5, s. 68-76, 2013.
[88]
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.
[89]
S. Markidis et al., "Collisionless magnetic reconnection in a plasmoid chain," Nonlinear processes in geophysics, vol. 19, no. 1, s. 145-153, 2012.
[90]
A. Divin et al., "Numerical simulations of separatrix instabilities in collisionless magnetic reconnection," Physics of Plasmas, vol. 19, no. 4, s. 042110, 2012.
[91]
A. Divin et al., "Scaling of the inner electron diffusion region in collisionless magnetic reconnection," Journal of Geophysical Research, vol. 117, s. A06217, 2012.
[92]
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

[93]
M. I. Andersson, F. Liu och S. Markidis, "Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems," i Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP), 2024, s. 39-52.
[94]
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.
[95]
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.
[96]
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, 2023.
[97]
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.
[98]
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.
[99]
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.
[100]
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.
[101]
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.
[102]
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.
[103]
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.
[104]
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.
[106]
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.
[107]
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, 2023.
[108]
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.
[109]
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.
[110]
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.
[111]
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.
[112]
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.
[113]
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.
[114]
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.
[115]
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.
[116]
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.
[117]
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.
[118]
F. Liu et al., "Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs," i IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021.
[119]
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.
[120]
M. Svedin et al., "Higgs Boson Classification : Brain-inspired BCPNN Learning with StreamBrain," i 2021 IEEE International Conference On Cluster Computing (CLUSTER 2021), 2021, s. 705-710.
[121]
M. Karp et al., "High-Perfomance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection," i Proceedings of the 35rd IEEE International Parallel & Distributed Processing Symposium, May 17-21, 2021 Portland, Oregon, USA, 2021.
[122]
T. Dykes et al., "Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems," i 2021 International Workshop on Performance, Portability and Productivity in HPC (P3HPC), 2021.
[123]
A. Podobas et al., "StreamBrain : An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs," i ACM International Conference Proceeding Series, 2021.
[124]
S. Markidis et al., "Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking," i 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, s. 9-14.
[125]
N. Brown et al., "Utilising urgent computing to tackle the spread of mosquito-borne diseases," i Proceedings of Urgenthpc 2021 : The Third International Workshop On Hpc For Urgent Decision Making, 2021, s. 36-44.
[126]
S. Markidis et al., "Automatic Particle Trajectory Classification in Plasma Simulations," i 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, s. 64-71.
[127]
H. Pierre et al., "Fluid and kinetic modelling of the magnetized Kelvin-Helmholtz instability," i ETC 2013 - 14th European Turbulence Conference, 2020.
[128]
M. Karp et al., "Optimization of Tensor-product Operations in Nekbone on GPUs," i The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020, 2020.
[129]
W. Der Chien, I. B. Peng och S. Markidis, "Posit NPB : Assessing the precision improvement in HPC scientific applications," i Lecture Notes in Computer Science, 2020, s. 301-310.
[130]
W. Der Chien et al., "SputniPIC : An implicit particle-in-cell code for multi-GPU systems," i Proceedings - Symposium on Computer Architecture and High Performance Computing, 2020, s. 149-156.
[131]
S. W. D. Chien et al., "Tf-Darshan : Understanding Fine-grained I/O Performance in Machine Learning Workloads," i Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2020, s. 359-370.
[132]
I. B. Peng et al., "Analyzing the Suitability of Contemporary 3D-Stacked PIM Architectures for HPC Scientific Applications," i CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, 2019, s. 256-262.
[133]
S. Rivas Gomez et al., "Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks," i 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, s. 921-927.
[134]
C. P. Sishtla et al., "Multi-GPU acceleration of the iPIC3D implicit particle-in-cell code," i Proceedings Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part V, 2019, s. 612-618.
[135]
C. P. Sishtla et al., "Particle-in-Cell Simulations of Plasma Dynamics in Cometary Environment," i Journal of Physics : Conference Series, 2019.
[136]
W. Der Chien, I. Peng och S. Markidis, "Performance evaluation of advanced features in CUDA unified memory," i 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, s. 50-57.
[137]
S. Rivas-Gomez et al., "Persistent Coarrays : Integrating MPI Storage Windows in Coarray Fortran," i Proceedings of the 26th European MPI Users' Group Meeting (EuroMPI 2019), 2019, s. 1-8.
[138]
S. W. Der Chien et al., "TensorFlow Doing HPC An Evaluation of TensorFlow Performance in HPC Applications," i 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019, s. 509-518.
[139]
S. Rivas-Gomez et al., "uMMAP-IO : User-level Memory-mapped I/O for HPC," i Proceedings of the 26th IEEE International Conference on High-Performance Computing, Data, and Analytics (HiPC'19),, 2019, s. 363-372.
[140]
P. Thoman et al., "A Taxonomy of Task-Based Technologies for High-Performance Computing," i PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT II, 2018, s. 264-274.
[141]
S. W. Der Chien et al., "An Evaluation of the TensorFlow Programming Model for Solving Traditional HPC Problems," i Proceedings of the 5th International Conference on Exascale Applications and Software, 2018, s. 34.
[142]
S. W. D. Chien et al., "Characterizing Deep-Learning I/O Workloads in TensorFlow," i 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, s. 54-63.
[143]
M. A. Al Ahad et al., "Efficient Algorithms for Collective Operations with Notified Communication in Shared Windows," i PROCEEDINGS OF PAW-ATM18 : 2018 IEEE/ACM PARALLEL APPLICATIONS WORKSHOP, ALTERNATIVES TO MPI (PAW-ATM), 2018, s. 1-10.
[144]
S. Rivas-Gomez et al., "Exploring the vision processing unit as co-processor for inference," i Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018, 2018, s. 589-598.
[145]
D. Akhmetova et al., "Interoperability of GASPI and MPI in large scale scientific applications," i 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, 2018, s. 277-287.
[146]
S. Markidis et al., "NVIDIA tensor core programmability, performance & precision," i Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018, 2018, s. 522-531.
[147]
S. Narasimhamurthy et al., "The SAGE project : A storage centric approach for exascale computing," i 2018 ACM International Conference on Computing Frontiers, CF 2018 - Proceedings, 2018, s. 287-292.
[148]
I. B. Peng et al., "Exploring Application Performance on Emerging Hybrid-Memory Supercomputers," i 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, s. 473-480.
[149]
I. B. Peng et al., "Exploring the performance benefit of hybrid memory system on HPC environments," i Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 2017, s. 683-692.
[150]
S. Rivas-Gomez et al., "Extending message passing interface windows to storage," i Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, 2017, s. 728-730.
[151]
I. B. Peng et al., "Idle period propagation in message-passing applications," i 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, s. 937-944.
[152]
I. B. Peng et al., "MPI Streams for HPC Applications," i New Frontiers in High Performance Computing and Big Data, 2017, s. 75-92.
[153]
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Icke refereegranskade

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2024-03-24 04:31:34