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2020 – today
- 2024
[c82]Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Kl. Barkoutsos, Ricardo Vinuesa
, Ivy Peng, Stefano Markidis:
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. CF 2024- [c81]Daniel Araújo de Medeiros, Eric B. Gregory, Philippe Couvée, James Nicholas Hawkes, Sebastien Gougeaud, Maike Gilliot, Olivier Bressand, Yoann Valeri, Julien Jaeger, Damien Chapon, Frédéric Bournaud, Loïc Strafella, Daniel Caviedes-Voullième, Ghazal Tashakor, Jolanta Zjupa, Max Holicki, Tom Ridley, Yannik Müller, Filipe Souza Mendes Guimarães, Wolfgang Frings, Jan-Oliver Mirus, Ilya Zhukov, Eric Rodrigues Borba, Nafiseh Moti, Reza Salkhordeh, Nadia Derbey, Salim Mimouni, Simon Derr, Buket Benek Gursoy, James Grogan, Radek Furmánek, Martin Golasowski, Katerina Slaninová, Jan Martinovic, Jan Faltýnek, Jenny Wong, Metin Cakircali, Tiago Quintino, Simon D. Smart, Olivier Iffrig, Sai Narasimhamurthy, Sonja Happ, Michael Rauh, Stephan Krempel, Mark Wiggins, Jirí Novácek, André Brinkmann, Stefano Markidis, Philippe Deniel:
IO-SEA: Storage I/O and Data Management for Exascale Architectures. CF (Companion) 2024 - [c80]Felix Liu, Albin Fredriksson, Stefano Markidis:
Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines. ICCS (1) 2024: 63-77 - [c79]Federica Bragone, Kateryna Morozovska, Tomas Rosén, Daniel Söderberg, Stefano Markidis:
Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils. ICCS (1) 2024: 209-223 - [c78]Jeremy J. Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, Stefano Markidis:
Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration. ICCS (1) 2024: 316-330 - [c77]Stefano Markidis:
Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers. ICCS (1) 2024: 331-345 - [c76]Måns Ivar Andersson, Martin Karp, Stefano Markidis:
Towards Performance Portable Kernels for Computational Fluid Dynamics Using DaCe. ICPP Workshops 2024: 110-111 - [c75]Pratibha Raghupati Hegde, Stefano Markidis:
Quantum Physics Informed Neural Networks. ICPP Workshops 2024: 114-115 - [c74]Camille Coti, Yann Pfau-Kempf, Markus Battarbee, Urs Ganse, Sameer Shende, Kevin A. Huck, Jordi Rodriquez, Leo Kotipalo, Jennifer Faj, Jeremy J. Williams, Ivy Peng, Allen D. Malony, Stefano Markidis, Minna Palmroth:
Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization. IPDPS (Workshops) 2024: 996-1005 - [c73]Måns I. Andersson, Felix Liu, Stefano Markidis:
Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems. PP 2024: 39-52 - [i64]Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda:
Accelerating Scientific Application through Transparent I/O Interposition. CoRR abs/2401.14576 (2024) - [i63]Stefano Markidis:
From Complexity to Simplicity: Brain-Inspired Modularization of PINN Solvers. CoRR abs/2401.15661 (2024) - [i62]Jeremy J. Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, Stefano Markidis:
Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration. CoRR abs/2404.10270 (2024) - [i61]Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton:
Opportunities for machine learning in scientific discovery. CoRR abs/2405.04161 (2024) - [i60]Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis:
Supercomputers as a Continous Medium. CoRR abs/2405.05639 (2024) - [i59]Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson:
Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR abs/2405.05640 (2024) - [i58]Stefano Markidis:
What is Quantum Parallelism, Anyhow? CoRR abs/2405.07222 (2024) - [i57]Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis:
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. CoRR abs/2406.14297 (2024) - [i56]Jeremy J. Williams, Stefan Costea, Allen D. Malony, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin A. Huck, Erwin Laure, Stefano Markidis:
Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis. CoRR abs/2406.19058 (2024) - [i55]Jeremy J. Williams, Ashish Bhole, Dylan Kierans, Matthias Hoelzl, Ihor Holod, Weikang Tang, David Tskhakaya, Stefan Costea, Leon Kos, Ales Podolnik, Jakub Hromadka, JOREK Team, Erwin Laure, Stefano Markidis:
Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers. CoRR abs/2407.00394 (2024) - [i54]Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure:
Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. CoRR abs/2407.20717 (2024) - [i53]Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure:
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. CoRR abs/2407.20731 (2024) - [i52]Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis:
Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CoRR abs/2408.02869 (2024) - 2023
- [j31]Markus Flatken, Artur Podobas, Riccardo Fellegara, Achim Basermann, Johannes Holke, David Knapp, Max Kontak, Christian Krullikowski, Michael Nolde, Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Steven Wei Der Chien, Stefano Markidis, Pierre Guillou, Julien Tierny, Jules Vidal, Charles Gueunet, Johannes Günther, Miroslaw Pawlowski, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Jean-Pierre Chaboureau, Miguel Mendes, Adrián Cardil, Santiago Monedero, Joaquín Ramírez, Andreas Gerndt:
VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. IEEE Access 11: 87805-87834 (2023) - [j30]Stefano Markidis:
Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies. Entropy 25(4): 694 (2023) - [j29]Ayesha Afzal, Georg Hager, Stefano Markidis, Gerhard Wellein:
Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives. Future Gener. Comput. Syst. 148: 472-487 (2023) - [j28]Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis:
Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. 37(5): 487-502 (2023) - [j27]Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis:
Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space. J. Comput. Phys. 488: 112252 (2023) - [c72]Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda:
Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. APNet 2023: 172-173 - [c71]Gilbert Netzer, Stefano Markidis:
QHDL: a Low-Level Circuit Description Language for Quantum Computing. CF 2023: 201-204 - [c70]Jennifer Faj, Ivy Peng, Jacob Wahlgren, Stefano Markidis:
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration: A Case Study with IBM Qiskit Aer, Nvidia Thrust & cuQuantum. e-Science 2023: 1-10 - [c69]Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure:
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. e-Science 2023: 1-10 - [c68]Jeremy J. Williams, David Tskhakaya, Stefan Costea, Ivy Bo Peng, Marta Garcia-Gasulla, Stefano Markidis:
Leveraging HPC Profiling and Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations. Euro-Par Workshops (1) 2023: 123-134 - [c67]Yifei He, Artur Podobas, Stefano Markidis:
Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. Euro-Par Workshops (1) 2023: 207-218 - [c66]Ivy Peng, Martin Schulz, Utz-Uwe Haus, Craig Prunty, Pedro Marcuello, Emanuele Danovaro, Gabin Schieffer, Jacob Wahlgren, Daniel Araújo de Medeiros, Philipp Friese, Stefano Markidis:
OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems. Euro-Par Workshops 2023: 260-264 - [c65]Gabin Schieffer, Nattawat Pornthisan, Daniel Araújo de Medeiros, Stefano Markidis, Jacob Wahlgren, Ivy Peng:
Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU. Euro-Par Workshops (1) 2023: 294-305 - [c64]Felix Liu, Albin Fredriksson, Stefano Markidis:
Parallel Cholesky Factorization for Banded Matrices Using OpenMP Tasks. Euro-Par 2023: 725-739 - [c63]Måns Ivar Andersson, Stefano Markidis:
A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms. HPC Asia 2023: 55-63 - [c62]Daniel Araújo de Medeiros, Stefano Markidis, Ivy Bo Peng:
LibCOS: Enabling Converged HPC and Cloud Data Stores with MPI. HPC Asia 2023: 106-116 - [c61]Nattawat Pornthisan, Stefano Markidis:
Fast Electromagnetic Field Pattern Calculation with Fourier Neural Operators. ICCS (2) 2023: 247-255 - [c60]Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis:
Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC 2023: 5:1-5:9 - [c59]Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis:
Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. SC Workshops 2023: 387-390 - [c58]Stefano Markidis:
Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google's qsim. SC Workshops 2023: 1478-1486 - [i51]Ayesha Afzal, Georg Hager, Stefano Markidis, Gerhard Wellein:
Making Applications Faster by Asynchronous Execution: Slowing Down Processes or Relaxing MPI Collectives. CoRR abs/2302.12164 (2023) - [i50]Felix Liu, Albin Fredriksson, Stefano Markidis:
Parallel Cholesky Factorization for Banded Matrices using OpenMP Tasks. CoRR abs/2305.04635 (2023) - [i49]Gilbert Netzer, Stefano Markidis:
QHDL: a Low-Level Circuit Description Language for Quantum Computing. CoRR abs/2305.09419 (2023) - [i48]Jeremy J. Williams, David Tskhakaya, Stefan Costea, Ivy Bo Peng, Marta Garcia-Gasulla, Stefano Markidis:
Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations. CoRR abs/2306.16512 (2023) - [i47]Jennifer Faj, Ivy Bo Peng, Jacob Wahlgren, Stefano Markidis:
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration. CoRR abs/2307.14860 (2023) - [i46]Yifei He, Artur Podobas, Stefano Markidis:
Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. CoRR abs/2308.00497 (2023) - [i45]Måns I. Andersson, Felix Liu, Stefano Markidis:
Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems. CoRR abs/2308.00630 (2023) - [i44]Felix Liu, Albin Fredriksson, Stefano Markidis:
Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy. CoRR abs/2308.00637 (2023) - [i43]Gabin Schieffer, Nattawat Pornthisan, Daniel Araújo de Medeiros, Stefano Markidis, Jacob Wahlgren, Ivy Bo Peng:
Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU. CoRR abs/2308.00763 (2023) - 2022
- [j26]Stefano Markidis:
On physics-informed neural networks for quantum computers. Frontiers Appl. Math. Stat. 8 (2022) - [j25]Marco Atzori, Wiebke Köpp, Steven Wei Der Chien, Daniele Massaro, Fermín Mallor, Adam Peplinski, Mohamad Rezaei, Niclas Jansson, Stefano Markidis, Ricardo Vinuesa, Erwin Laure, Philipp Schlatter, Tino Weinkauf:
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 78(3): 3605-3620 (2022) - [j24]Felix Liu, Albin Fredriksson, Stefano Markidis:
A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization. J. Supercomput. 78(16): 17513-17542 (2022) - [c57]Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure:
Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. e-Science 2022: 295-305 - [c56]Yifei He, Artur Podobas, Måns I. Andersson, Stefano Markidis:
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. Euro-Par Workshops 2022: 80-92 - [c55]Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter:
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia 2022: 94-102 - [c54]Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis:
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia 2022: 125-136 - [c53]Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC 2022: 2:1-2:11 - [c52]Steven Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Andrzej Herman, Ganesan Umanesan, Sai Narasimhamurthy, Stefano Markidis:
NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage. PDP 2022: 172-176 - [c51]Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis:
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications. PPAM (1) 2022: 155-170 - [c50]Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis:
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. PPAM (1) 2022: 333-345 - [c49]Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis:
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. PPAM (1) 2022: 383-395 - [c48]Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt:
Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making. ISC Workshops 2022: 233-244 - [i42]Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis:
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications. CoRR abs/2205.13963 (2022) - [i41]Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt:
Workflows to driving high-performance interactive supercomputing for urgent decision making. CoRR abs/2206.14103 (2022) - [i40]Yifei He, Artur Podobas, Måns I. Andersson, Stefano Markidis:
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. CoRR abs/2207.06803 (2022) - [i39]Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis:
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. CoRR abs/2207.07098 (2022) - [i38]Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis:
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. CoRR abs/2208.11395 (2022) - [i37]Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis:
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. CoRR abs/2208.13658 (2022) - [i36]Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis:
Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space. CoRR abs/2208.14373 (2022) - [i35]Stefano Markidis:
On the Physics-Informed Neural Networks for Quantum Computers. CoRR abs/2209.14754 (2022) - 2021
- [j23]Stefano Markidis:
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? Frontiers Big Data 4: 669097 (2021) - [c47]Xavier Aguilar, Stefano Markidis:
A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations. CLUSTER 2021: 692-697 - [c46]Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis:
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. CLUSTER 2021: 705-710 - [c45]Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis:
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART 2021: 8:1-8:6 - [c44]Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis:
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. IPDPS Workshops 2021: 449-458 - [c43]Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis:
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS 2021: 1077-1086 - [c42]Tim Dykes, Clément Foyer, Harvey Richardson, Martin Svedin, Artur Podobas, Niclas Jansson, Stefano Markidis, Adrian Tate, Simon McIntosh-Smith:
Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems. P3HPC@SC 2021: 10-21 - [c41]Stefano Markidis, Davide Gadioli, Emanuele Vitali, Gianluca Palermo:
Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking. PDSW@SC 2021: 9-14 - [c40]Nick Brown, Rupert Nash, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Markus Flatken, Jules Vidal, Charles Gueunet, Evgenij Belikov, Julien Tierny, Artur Podobas, Wei Der Chien, Stefano Markidis, Andreas Gerndt:
Utilising urgent computing to tackle the spread of mosquito-borne diseases. UrgentHPC@SC 2021: 36-44 - [e2]Erwin Laure, Stefano Markidis, Ana Lucia Verbanescu, Jay F. Lofstead:
HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, Virtual Event, Sweden, June 21-25, 2021. ACM 2021, ISBN 978-1-4503-8217-5 [contents] - [i34]Stefano Markidis:
Physics-Informed Deep-Learning for Scientific Computing. CoRR abs/2103.09655 (2021) - [i33]Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis:
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. CoRR abs/2103.09683 (2021) - [i32]Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis:
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. CoRR abs/2106.05373 (2021) - [i31]Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR abs/2107.01243 (2021) - [i30]Xavier Aguilar, Stefano Markidis:
A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations. CoRR abs/2107.02232 (2021) - [i29]Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis:
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. CoRR abs/2107.06676 (2021) - [i28]Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis:
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. CoRR abs/2108.12188 (2021) - [i27]Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter:
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. CoRR abs/2109.03592 (2021) - [i26]Nick Brown, Rupert Nash, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Markus Flatken, Jules Vidal, Charles Gueunet, Evgenij Belikov, Julien Tierny, Artur Podobas, Wei Der Chien, Stefano Markidis, Andreas Gerndt:
Utilising urgent computing to tackle the spread of mosquito-borne diseases. CoRR abs/2111.05654 (2021) - [i25]Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis:
A Review on Parallel Virtual Screening Softwares for High Performance Computers. CoRR abs/2112.00116 (2021) - 2020
- [j22]Fearghal O'Donncha, Roman Iakymchuk, Albert Akhriev, Philipp Gschwandtner, Peter Thoman, Thomas Heller, Xavier Aguilar, Kiril Dichev, Charles Gillan, Stefano Markidis, Erwin Laure, Emanuele Ragnoli, Vassilis Vassiliadis, Michael A. Johnston, Herbert Jordan, Thomas Fahringer:
AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Comput. Phys. Commun. 251: 107089 (2020) - [c39]Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis:
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. CLUSTER 2020: 359-370 - [c38]Steven Wei Der Chien, Jonas Nylund, Gabriel Bengtsson, Ivy Bo Peng, Artur Podobas, Stefano Markidis:
sputniPIC: An Implicit Particle-in-Cell Code for Multi-GPU Systems. SBAC-PAD 2020: 149-156 - [c37]Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman:
Automatic Particle Trajectory Classification in Plasma Simulations. MLHPC/AI4S@SC 2020: 64-71 - [i24]Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR abs/2005.13425 (2020) - [i23]Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis:
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. CoRR abs/2008.04395 (2020) - [i22]Steven Wei Der Chien, Jonas Nylund, Gabriel Bengtsson, Ivy Bo Peng, Artur Podobas, Stefano Markidis:
sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems. CoRR abs/2008.04397 (2020) - [i21]Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman:
Automatic Particle Trajectory Classification in Plasma Simulations. CoRR abs/2010.05348 (2020) - [i20]Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis:
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. CoRR abs/2010.13463 (2020)
2010 – 2019
- 2019
- [j21]Marcus Wallden, Stefano Markidis, Masao Okita, Fumihiko Ino:
Memory Efficient Load Balancing for Distributed Large-Scale Volume Rendering Using a Two-Layered Group Structure. IEICE Trans. Inf. Syst. 102-D(12): 2306-2316 (2019) - [j20]Christian Simmendinger, Roman Iakymchuk, Luis Cebamanos, Dana Akhmetova, Valeria Bartsch, Tiberiu Rotaru, Mirko Rahn, Erwin Laure, Stefano Markidis:
Interoperability strategies for GASPI and MPI in large-scale scientific applications. Int. J. High Perform. Comput. Appl. 33(3) (2019) - [j19]Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Stefano Markidis, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Dirk Pleiter, Shaun De Witt:
SAGE: Percipient Storage for Exascale Data Centric Computing. Parallel Comput. 83: 22-33 (2019) - [c36]