Stefano Markidis

237 papers A 3B 6C 20Misc 6Journal 130Unranked 71

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid quantum-classical particle-in-cell method for plasma simulations. Future Gener. Comput. Syst. Pratibha Raghupati Hegde, Paolo Marcandelli, Yuanchun He, Luca Pennati, Jeremy J. Williams, Ivy Peng, Stefano Markidis
2026	J	`jnl`	Compression of turbulence time series data using Gaussian process regression. Comput. Phys. Commun. Adalberto Perez, Saleh Rezaeiravesh, Yi Ju, Erwin Laure, Stefano Markidis, Philipp Schlatter
2026	J	`jnl`	Disturbance storm time index prediction with interpretable machine learning. J. Comput. Sci. Luca Pennati, Jonah Ekelund, Andong Hu, Ivy Peng, Stefano Markidis
2026	J	`jnl`	Editorial on future generation computer systems (FGCS) special collection on advances in quantum computing: methods, algorithms, and systems Vol II. Future Gener. Comput. Syst. Stefano Markidis, Lucio Grandinetti, Michela Taufer
2026	J	`jnl`	Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence. J. Comput. Phys. Martin Karp, Ronith Stanly, Timofey Mukha, Luca Galimberti, Siavash Toosi, Hang Song, Lisandro Dalcín, Saleh Rezaeiravesh, Niclas Jansson, Stefano Markidis, Matteo Parsani, Sanjeeb Bose, Sanjiva K. Lele, Philipp Schlatter
2026	J	`jnl`	Enabling AI Deep Potentials for Ab Initio-quality Molecular Dynamics Simulations in GROMACS. CoRR Andong Hu, Luca Pennati, Stefano Markidis, Ivy Peng
2026	J	`jnl`	Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems. CoRR Jeremy J. Williams, Jordy Trilaksono, Stefan Costea, Yi Ju, Luca Pennati, Jonah Ekelund, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Allen D. Malony, Sameer Shende, Tilman Dannert, Frank Jenko, Erwin Laure, Stefano Markidis
2026	—	`conf`	QPU Micro-Kernels for Stencil Computation. SCA/HPC Asia Stefano Markidis, Luca Pennati, Gilbert Netzer, Marco Pasquale, Ivy Peng
2026	—	`conf`	Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems. SCA/HPC Asia Niclas Jansson, Martin Karp, Szilárd Páll, Stefano Markidis, Philipp Schlatter
2026	J	`jnl`	Tightly-integrated quantum-classical computing using the QHDL hardware description language. Future Gener. Comput. Syst. Gilbert Netzer, Pratibha Raghupati Hegde, Ivy Peng, Stefano Markidis
2026	J	`jnl`	Unsupervised Physics-Informed Operator Learning through Multi-Stage Curriculum Training. CoRR Paolo Marcandelli, Natansh Mathur, Stefano Markidis, Martina Siena, Stefano Mariani
2025	—	`conf`	A GPU-Accelerated Interior Point Method with Applications in Radiation Therapy Optimization. ICCS (2) Felix Liu, Albin Fredriksson, Stefano Markidis
2025	J	`jnl`	A Hybrid Quantum-Classical Particle-in-Cell Method for Plasma Simulations. CoRR Pratibha Raghupati Hegde, Paolo Marcandelli, Yuanchun He, Luca Pennati, Jeremy J. Williams, Ivy Peng, Stefano Markidis
2025	—	`conf`	A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka. IPDPS (Workshops) Luca Pennati, Måns I. Andersson, Klaus Steiniger, René Widera, Tapish Narwal, Michael Bussmann, Stefano Markidis
2025	J	`jnl`	A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka. CoRR Luca Pennati, Måns I. Andersson, Klaus Steiniger, René Widera, Tapish Narwal, Michael Bussmann, Stefano Markidis
2025	C	`conf`	A Performance Model of In-Situ Techniques. PDP Yi Ju, Nicolas Vidal, Adalberto Perez, Ana Gainaru, Frédéric Suter, Stefano Markidis, Philipp Schlatter, Scott Klasky, Erwin Laure
2025	J	`jnl`	Accelerating Particle-in-Cell Monte Carlo simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming. J. Comput. Sci. Jeremy J. Williams, Felix Liu, Jordy Trilaksono, David Tskhakaya, Stefan Costea, Leon Kos, Ales Podolnik, Jakub Hromadka, Pratibha Raghupati Hegde, Marta Garcia-Gasulla, Valentin Seitz, Frank Jenko, Erwin Laure, Stefano Markidis
2025	J	`jnl`	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions. CoRR Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis
2025	—	`conf`	Adaptive PCA-Based Outlier Detection for Multi-feature Time Series in Space Missions. ICCS (1) Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis
2025	—	`conf`	An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer. SC Workshops Stefano Markidis, Gilbert Netzer, Luca Pennati, Ivy Peng
2025	J	`jnl`	An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer. CoRR Stefano Markidis, Gilbert Netzer, Luca Pennati, Ivy Peng
2025	—	`conf`	Apple vs. Oranges: Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency. IPDPS (Workshops) Paul Hübner, Andong Hu, Ivy Peng, Stefano Markidis
2025	J	`jnl`	Apple vs. Oranges: Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency. CoRR Paul Hübner, Andong Hu, Ivy Peng, Stefano Markidis
2025	J	`jnl`	Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils. J. Comput. Sci. Federica Bragone, Kateryna Morozovska, Tomas Rosén, Tor Laneryd, Daniel Söderberg, Stefano Markidis
2025	C	`conf`	Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs. PDP Jonah Ekelund, Stefano Markidis, Ivy Peng
2025	J	`jnl`	Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs. CoRR Jonah Ekelund, Stefano Markidis, Ivy Peng
2025	J	`jnl`	Design of Neko - A Scalable High-Fidelity Simulation Framework With Extensive Accelerator Support. Concurr. Comput. Pract. Exp. Niclas Jansson, Martin Karp, Jacob Wahlgren, Stefano Markidis, Philipp Schlatter
2025	—	`conf`	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression. ICCS (1) Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu, Ivy Peng
2025	J	`jnl`	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression. CoRR Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu, Ivy Peng
2025	J	`jnl`	Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation. CoRR Federica Bragone, Kateryna Morozovska, Tor Laneryd, Khemraj Shukla, Stefano Markidis
2025	J	`jnl`	Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics. CoRR Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Ian Lumsden, Dewi Yokelson, Stephanie Brink, Olga Pearce, Thomas R. W. Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer
2025	J	`jnl`	Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures. Int. J. High Perform. Comput. Appl. Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
2025	C	`conf`	Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits. PDP Gabin Schieffer, Stefano Markidis, Ivy Peng
2025	J	`jnl`	Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits. CoRR Gabin Schieffer, Stefano Markidis, Ivy Peng
2025	J	`jnl`	Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale. CoRR Jeremy J. Williams, Stefan Costea, Daniel Medeiros, Jordy Trilaksono, Pratibha Raghupati Hegde, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin A. Huck, Allen D. Malony, Frank Jenko, Erwin Laure, Stefano Markidis
2025	—	`conf`	OpenACC and OpenMP-Accelerated Fortran/C++ Gyrokinetic Fusion Code GENE-X for Heterogeneous Architectures. PASC Jordy Trilaksono, Philipp Ulbl, Jeremy J. Williams, Carl-Martin Pfeiler, Marion Finkbeiner, Tilman Dannert, Erwin Laure, Stefano Markidis, Frank Jenko
2025	J	`jnl`	Optimizing FDTD Solvers for Electromagnetics: A Compiler-Guided Approach with High-Level Tensor Abstractions. CoRR Yifei He, Måns I. Andersson, Stefano Markidis
2025	—	`conf`	Optimizing I/O for an Exascale Implicit Kinetic Plasma Simulation using the Rabbit Storage System. CLUSTER Workshops Ian Lumsden, Hariharan Devarajan, Izzet Yildirim, Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Dewi Yokelson, Stephanie Brink, Olga Pearce, Tom Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Anthony Kougkas, Xian-He Sun, Michela Taufer
2025	J	`jnl`	Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning. CoRR Paolo Marcandelli, Yuanchun He, Stefano Mariani, Martina Siena, Stefano Markidis
2025	—	`conf`	Performance Optimization of an Exascale Implicit Kinetic Plasma Simulation on El Capitan. eScience Ian Lumsden, Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Dewi Yokelson, Stephanie Brink, Olga Pearce, Tom Scogland, Hariharan Devarajan, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer
2025	—	`conf`	Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models. ICCS (3) Andong Hu, Luca Pennati, Ivy Peng, Stefano Markidis
2025	J	`jnl`	Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models. CoRR Andong Hu, Luca Pennati, Ivy Peng, Stefano Markidis
2025	J	`jnl`	Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe. CoRR Måns I. Andersson, Martin Karp, Niclas Jansson, Stefano Markidis
2025	J	`jnl`	Preconditioned CG and GMRES for interior point methods with applications in radiation therapy. J. Comput. Sci. Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis
2025	J	`jnl`	QPU Micro-Kernels for Stencil Computation. CoRR Stefano Markidis, Luca Pennati, Marco Pasquale, Gilbert Netzer, Ivy Peng
2025	J	`jnl`	Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise. CoRR Martin Karp, Niclas Jansson, Saleh Rezaeiravesh, Stefano Markidis, Philipp Schlatter
2025	J	`jnl`	Special Collection on Advances in Quantum Computing: Methods, Algorithms, and Systems. Future Gener. Comput. Syst. Stefano Markidis, Michela Taufer, Lucio Grandinetti
2024	B	`conf`	AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. e-Science Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis
2024	J	`jnl`	AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. CoRR Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis
2024	J	`jnl`	Accelerating Scientific Application through Transparent I/O Interposition. CoRR Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda
2024	—	`conf`	Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems. PP Måns I. Andersson, Felix Liu, Stefano Markidis
2024	—	`conf`	Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. CF Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Kl. Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis
2024	—	`conf`	Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers. ICCS (1) Stefano Markidis
2024	J	`jnl`	Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code. CoRR Jeremy J. Williams, Daniel Medeiros, Ivy Bo Peng, Stefano Markidis
2024	C	`conf`	Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions. EuroMPI Yi Ju, Dominik Huber, Adalberto Perez, Philipp Ulbl, Stefano Markidis, Philipp Schlatter, Martin Schulz, Martin Schreiber, Erwin Laure
2024	—	`conf`	Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CLUSTER Workshops 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
2024	J	`jnl`	Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CoRR 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
2024	J	`jnl`	Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
2024	J	`jnl`	From Complexity to Simplicity: Brain-Inspired Modularization of PINN Solvers. CoRR Stefano Markidis
2024	C	`conf`	High-Performance FFT Code Generation via MLIR Linalg Dialect and SIMD Micro-Kernels. CLUSTER Yifei He, Stefano Markidis
2024	—	`conf`	IO-SEA: Storage I/O and Data Management for Exascale Architectures. CF (Companion) Daniel 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 A. 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
2024	J	`jnl`	In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. CoRR Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
2024	—	`conf`	Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization. IPDPS (Workshops) Camille Coti, Yann Pfau-Kempf, Markus Battarbee, Urs Ganse, Sameer Shende, Kevin A. Huck, Jordi Alcaraz Rodriguez, Leo Kotipalo, Jennifer Faj, Jeremy J. Williams, Ivy Peng, Allen D. Malony, Stefano Markidis, Minna Palmroth
2024	—	`conf`	Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines. ICCS (1) Felix Liu, Albin Fredriksson, Stefano Markidis
2024	—	`conf`	Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. CLUSTER Workshops Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter
2024	J	`jnl`	OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems. CoRR 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
2024	J	`jnl`	Opportunities for machine learning in scientific discovery. CoRR 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
2024	—	`conf`	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration. ICCS (1) Jeremy J. Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, Stefano Markidis
2024	J	`jnl`	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration. CoRR Jeremy J. Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, Stefano Markidis
2024	—	`conf`	Quantum Physics Informed Neural Networks. ICPP Workshops Pratibha Raghupati Hegde, Stefano Markidis
2024	J	`jnl`	Supercomputers as a Continous Medium. CoRR Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis
2024	—	`conf`	Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils. ICCS (1) Federica Bragone, Kateryna Morozovska, Tomas Rosén, Daniel Söderberg, Stefano Markidis
2024	—	`conf`	Towards Performance Portable Kernels for Computational Fluid Dynamics Using DaCe. ICPP Workshops Måns Ivar Andersson, Martin Karp, Stefano Markidis
2024	—	`conf`	Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric. SC Workshops Gabin Schieffer, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, Ivy Peng
2024	J	`jnl`	Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric. CoRR Gabin Schieffer, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, Ivy Peng
2024	J	`jnl`	Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers. CoRR 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
2024	—	`conf`	Understanding the Impact of OpenPMD on BIT1, a Particle-in-Cell Monte Carlo Code, Through Instrumentation, Monitoring, and In-Situ Analysis. Euro-Par Workshops (1) Jeremy J. Williams, Stefan Costea, Allen D. Malony, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin A. Huck, Erwin Laure, Stefano Markidis
2024	J	`jnl`	Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. CoRR Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure
2024	J	`jnl`	Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis. CoRR Jeremy J. Williams, Stefan Costea, Allen D. Malony, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin A. Huck, Erwin Laure, Stefano Markidis
2024	C	`conf`	What is Quantum Parallelism, Anyhow? ISC Stefano Markidis
2024	J	`jnl`	What is Quantum Parallelism, Anyhow? CoRR Stefano Markidis
2023	C	`conf`	A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms. HPC Asia Måns Ivar Andersson, Stefano Markidis
2023	J	`jnl`	Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems. CoRR Måns I. Andersson, Felix Liu, Stefano Markidis
2023	—	`conf`	Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU. Euro-Par Workshops (1) Gabin Schieffer, Nattawat Pornthisan, Daniel Medeiros, Stefano Markidis, Jacob Wahlgren, Ivy Peng
2023	J	`jnl`	Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU. CoRR Gabin Schieffer, Nattawat Pornthisan, Daniel Araújo de Medeiros, Stefano Markidis, Jacob Wahlgren, Ivy Bo Peng
2023	—	`conf`	Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google's qsim. SC Workshops Stefano Markidis
2023	A	`conf`	Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis
2023	—	`conf`	Fast Electromagnetic Field Pattern Calculation with Fourier Neural Operators. ICCS (2) Nattawat Pornthisan, Stefano Markidis
2023	—	`conf`	Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. APNet Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda
2023	B	`conf`	In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. e-Science Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
2023	J	`jnl`	Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy. CoRR Felix Liu, Albin Fredriksson, Stefano Markidis
2023	J	`jnl`	Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
2023	J	`jnl`	Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations. CoRR Jeremy J. Williams, David Tskhakaya, Stefan Costea, Ivy Bo Peng, Marta Garcia-Gasulla, Stefano Markidis
2023	—	`conf`	Leveraging HPC Profiling and Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations. Euro-Par Workshops (1) Jeremy J. Williams, David Tskhakaya, Stefan Costea, Ivy Bo Peng, Marta Garcia-Gasulla, Stefano Markidis
2023	—	`conf`	Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. Euro-Par Workshops (1) Yifei He, Artur Podobas, Stefano Markidis
2023	J	`jnl`	Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. CoRR Yifei He, Artur Podobas, Stefano Markidis
2023	C	`conf`	LibCOS: Enabling Converged HPC and Cloud Data Stores with MPI. HPC Asia Daniel Araújo de Medeiros, Stefano Markidis, Ivy Bo Peng
2023	J	`jnl`	Making Applications Faster by Asynchronous Execution: Slowing Down Processes or Relaxing MPI Collectives. CoRR Ayesha Afzal, Georg Hager, Stefano Markidis, Gerhard Wellein
2023	J	`jnl`	Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives. Future Gener. Comput. Syst. Ayesha Afzal, Georg Hager, Stefano Markidis, Gerhard Wellein
2023	—	`conf`	OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems. Euro-Par Workshops Ivy Peng, Martin Schulz, Utz-Uwe Haus, Craig Prunty, Pedro Marcuello, Emanuele Danovaro, Gabin Schieffer, Jacob Wahlgren, Daniel Medeiros, Philipp Friese, Stefano Markidis
2023	—	`conf`	Parallel Cholesky Factorization for Banded Matrices Using OpenMP Tasks. Euro-Par Felix Liu, Albin Fredriksson, Stefano Markidis
2023	J	`jnl`	Parallel Cholesky Factorization for Banded Matrices using OpenMP Tasks. CoRR Felix Liu, Albin Fredriksson, Stefano Markidis
2023	J	`jnl`	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. Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis
2023	J	`jnl`	Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies. Entropy Stefano Markidis
2023	—	`conf`	QHDL: a Low-Level Circuit Description Language for Quantum Computing. CF Gilbert Netzer, Stefano Markidis
2023	J	`jnl`	QHDL: a Low-Level Circuit Description Language for Quantum Computing. CoRR Gilbert Netzer, Stefano Markidis
2023	J	`jnl`	Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration. CoRR Jennifer Faj, Ivy Bo Peng, Jacob Wahlgren, Stefano Markidis
2023	B	`conf`	Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration: A Case Study with IBM Qiskit Aer, Nvidia Thrust & cuQuantum. e-Science Jennifer Faj, Ivy Peng, Jacob Wahlgren, Stefano Markidis
2023	—	`conf`	Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. SC Workshops Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis
2023	J	`jnl`	VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. IEEE Access 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
2022	C	`conf`	A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
2022	J	`jnl`	A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization. J. Supercomput. Felix Liu, Albin Fredriksson, Stefano Markidis
2022	—	`conf`	Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. PPAM (1) Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis
2022	J	`jnl`	Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. CoRR Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis
2022	—	`conf`	Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. PPAM (1) Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis
2022	J	`jnl`	Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. CoRR Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis
2022	—	`conf`	Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications. PPAM (1) Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis
2022	J	`jnl`	Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications. CoRR Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis
2022	—	`conf`	FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. Euro-Par Workshops Yifei He, Artur Podobas, Måns I. Andersson, Stefano Markidis
2022	J	`jnl`	FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. CoRR Yifei He, Artur Podobas, Måns I. Andersson, Stefano Markidis
2022	J	`jnl`	In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 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
2022	J	`jnl`	Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. CoRR Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
2022	C	`conf`	NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage. PDP Steven Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Andrzej Herman, Ganesan Umanesan, Sai Narasimhamurthy, Stefano Markidis
2022	J	`jnl`	On physics-informed neural networks for quantum computers. Frontiers Appl. Math. Stat. Stefano Markidis
2022	J	`jnl`	On the Physics-Informed Neural Networks for Quantum Computers. CoRR Stefano Markidis
2022	J	`jnl`	Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space. CoRR Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis
2022	—	`conf`	Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
2022	C	`conf`	Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia 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
2022	B	`conf`	Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. e-Science Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure
2022	—	`conf`	Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making. ISC Workshops Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt
2022	J	`jnl`	Workflows to driving high-performance interactive supercomputing for urgent decision making. CoRR Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt
2021	C	`conf`	A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations. CLUSTER Xavier Aguilar, Stefano Markidis
2021	J	`jnl`	A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations. CoRR Xavier Aguilar, Stefano Markidis
2021	J	`jnl`	A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. CoRR Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
2021	J	`jnl`	A Review on Parallel Virtual Screening Softwares for High Performance Computers. CoRR Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis
2021	—	`conf`	Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. IPDPS Workshops Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis
2021	J	`jnl`	Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. CoRR Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis
2021	A	`ed.`	HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, Virtual Event, Sweden, June 21-25, 2021. HPDC Erwin Laure, Stefano Markidis, Ana Lucia Verbanescu, Jay F. Lofstead
2021	C	`conf`	Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. CLUSTER Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis
2021	J	`jnl`	Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. CoRR Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis
2021	A	`conf`	High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
2021	—	`conf`	Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems. P3HPC@SC Tim Dykes, Clément Foyer, Harvey Richardson, Martin Svedin, Artur Podobas, Niclas Jansson, Stefano Markidis, Adrian Tate, Simon McIntosh-Smith
2021	J	`jnl`	Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter
2021	J	`jnl`	Physics-Informed Deep-Learning for Scientific Computing. CoRR Stefano Markidis
2021	—	`conf`	StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
2021	J	`jnl`	StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. CoRR Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
2021	J	`jnl`	Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. CoRR 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
2021	J	`jnl`	The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? Frontiers Big Data Stefano Markidis
2021	—	`conf`	Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking. PDSW@SC Stefano Markidis, Davide Gadioli, Emanuele Vitali, Gianluca Palermo
2021	—	`conf`	Utilising urgent computing to tackle the spread of mosquito-borne diseases. UrgentHPC@SC 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
2021	J	`jnl`	Utilising urgent computing to tackle the spread of mosquito-borne diseases. CoRR 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
2020	J	`jnl`	AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Comput. Phys. Commun. 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
2020	—	`conf`	Automatic Particle Trajectory Classification in Plasma Simulations. MLHPC/AI4S@SC Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman
2020	J	`jnl`	Automatic Particle Trajectory Classification in Plasma Simulations. CoRR Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman
2020	J	`jnl`	High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. CoRR Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
2020	J	`jnl`	Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
2020	C	`conf`	sputniPIC: An Implicit Particle-in-Cell Code for Multi-GPU Systems. SBAC-PAD Steven Wei Der Chien, Jonas Nylund, Gabriel Bengtsson, Ivy Bo Peng, Artur Podobas, Stefano Markidis
2020	J	`jnl`	sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems. CoRR Steven Wei Der Chien, Jonas Nylund, Gabriel Bengtsson, Ivy Bo Peng, Artur Podobas, Stefano Markidis
2020	C	`conf`	tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. CLUSTER Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis
2020	J	`jnl`	tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. CoRR Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis
2019	—	`conf`	Analyzing the suitability of contemporary 3D-stacked PIM architectures for HPC scientific applications. CF Ivy Bo Peng, Jeffrey S. Vetter, Shirley Moore, Joydeep Rakshit, Stefano Markidis
2019	J	`jnl`	Automated classification of plasma regions using 3D particle energy distribution. CoRR Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Andrey Divin, Gian Luca Delzanno, Sven Anderzen, Pawel Andrzej Herman, Steven Wei Der Chien, Levon Avanov, Stefano Markidis
2019	J	`jnl`	Interoperability strategies for GASPI and MPI in large-scale scientific applications. Int. J. High Perform. Comput. Appl. Christian Simmendinger, Roman Iakymchuk, Luis Cebamanos, Dana Akhmetova, Valeria Bartsch, Tiberiu Rotaru, Mirko Rahn, Erwin Laure, Stefano Markidis
2019	J	`jnl`	Memory Efficient Load Balancing for Distributed Large-Scale Volume Rendering Using a Two-Layered Group Structure. IEICE Trans. Inf. Syst. Marcus Wallden, Stefano Markidis, Masao Okita, Fumihiko Ino
2019	—	`conf`	Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code. ICCS (5) Chaitanya Prasad Sishtla, Steven Wei Der Chien, Vyacheslav Olshevsky, Erwin Laure, Stefano Markidis
2019	J	`jnl`	Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code. CoRR Chaitanya Prasad Sishtla, Steven Wei Der Chien, Vyacheslav Olshevsky, Erwin Laure, Stefano Markidis
2019	—	`conf`	Performance Evaluation of Advanced Features in CUDA Unified Memory. MCHPC@SC Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis
2019	J	`jnl`	Performance Evaluation of Advanced Features in CUDA Unified Memory. CoRR Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis
2019	C	`conf`	Persistent coarrays: integrating MPI storage windows in coarray fortran. EuroMPI Sergio Rivas-Gomez, Alessandro Fanfarillo, Sai Narasimhamurthy, Stefano Markidis
2019	—	`conf`	Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications. PPAM (1) Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis
2019	J	`jnl`	Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications. CoRR Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis
2019	J	`jnl`	SAGE: Percipient Storage for Exascale Data Centric Computing. Parallel Comput. Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Stefano Markidis, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Dirk Pleiter, Shaun De Witt
2019	—	`conf`	TensorFlow Doing HPC. IPDPS Workshops Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter
2019	J	`jnl`	TensorFlow Doing HPC. CoRR Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter
2019	Misc	`conf`	uMMAP-IO: User-Level Memory-Mapped I/O for HPC. HiPC Sergio Rivas-Gomez, Alessandro Fanfarillo, Sébastien Valat, Christophe Laferriere, Philippe Couvée, Sai Narasimhamurthy, Stefano Markidis
2018	J	`jnl`	A taxonomy of task-based parallel programming technologies for high-performance computing. J. Supercomput. Peter Thoman, Kiril Dichev, Thomas Heller, Roman Iakymchuk, Xavier Aguilar, Khalid Hasanov, Philipp Gschwandtner, Pierre Lemarinier, Stefano Markidis, Herbert Jordan, Thomas Fahringer, Kostas Katrinis, Erwin Laure, Dimitrios S. Nikolopoulos
2018	—	`conf`	Characterizing Deep-Learning I/O Workloads in TensorFlow. PDSW-DISCS@SC Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure
2018	J	`jnl`	Characterizing Deep-Learning I/O Workloads in TensorFlow. CoRR Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure
2018	J	`jnl`	Characterizing the performance benefit of hybrid memory system for HPC applications. Parallel Comput. Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Jeffrey S. Vetter, Pietro Cicotti, Erwin Laure, Stefano Markidis
2018	—	`conf`	Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. HPCC/SmartCity/DSS Sergio Rivas-Gomez, Stefano Markidis, Erwin Laure, Keeran Brabazon, Oliver Perks, Sai Narasimhamurthy
2018	J	`jnl`	Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. CoRR Sergio Rivas-Gomez, Sai Narasimhamurthy, Keeran Brabazon, Oliver Perks, Erwin Laure, Stefano Markidis
2018	—	`conf`	Efficient Algorithms for Collective Operations with Notified Communication in Shared Windows. PAW-ATM@SC Muhammed Abdullah Al Ahad, Christian Simmendinger, Roman Iakymchuk, Erwin Laure, Stefano Markidis
2018	—	`conf`	Exploring Scientific Application Performance Using Large Scale Object Storage. ISC Workshops Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy
2018	J	`jnl`	Exploring Scientific Application Performance Using Large Scale Object Storage. CoRR Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy
2018	—	`conf`	Exploring the Vision Processing Unit as Co-Processor for Inference. IPDPS Workshops Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis
2018	J	`jnl`	Exploring the Vision Processing Unit as Co-processor for Inference. CoRR Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis
2018	J	`jnl`	MPI Windows on Storage for HPC Applications. CoRR Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis
2018	J	`jnl`	MPI windows on storage for HPC applications. Parallel Comput. Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis
2018	—	`conf`	NVIDIA Tensor Core Programmability, Performance & Precision. IPDPS Workshops Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter
2018	J	`jnl`	NVIDIA Tensor Core Programmability, Performance & Precision. CoRR Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter
2018	J	`jnl`	SAGE: Percipient Storage for Exascale Data Centric Computing. CoRR Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Stefano Markidis, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Dirk Pleiter, Shaun De Witt
2018	J	`jnl`	The SAGE Project: a Storage Centric Approach for Exascale Computing. CoRR Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Shaun De Witt, Dirk Pleiter, Stefano Markidis
2018	—	`conf`	The SAGE project: a storage centric approach for exascale computing: invited paper. CF Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Shaun De Witt, Dirk Pleiter, Stefano Markidis
2017	—	`conf`	A Taxonomy of Task-Based Technologies for High-Performance Computing. PPAM (2) Peter Thoman, Khalid Hasanov, Kiril Dichev, Roman Iakymchuk, Xavier Aguilar, Philipp Gschwandtner, Pierre Lemarinier, Stefano Markidis, Herbert Jordan, Erwin Laure, Kostas Katrinis, Dimitrios S. Nikolopoulos, Thomas Fahringer
2017	J	`jnl`	Exploring Application Performance on Emerging Hybrid-Memory Supercomputers. CoRR Ivy Bo Peng, Stefano Markidis, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2017	—	`conf`	Exploring the Performance Benefit of Hybrid Memory System on HPC Environments. IPDPS Workshops Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Pietro Cicotti, Erwin Laure, Stefano Markidis
2017	J	`jnl`	Exploring the Performance Benefit of Hybrid Memory System on HPC Environments. CoRR Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Erwin Laure, Stefano Markidis
2017	B	`conf`	Extending Message Passing Interface Windows to Storage. CCGrid Sergio Rivas-Gomez, Stefano Markidis, Ivy Bo Peng, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2017	J	`jnl`	Extending Message Passing Interface Windows to Storage. CoRR Sergio Rivas-Gomez, Stefano Markidis, Ivy Bo Peng, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2017	J	`jnl`	Idle Period Propagation in Message-Passing Applications. CoRR Ivy Bo Peng, Stefano Markidis, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2017	—	`conf`	Interoperability of GASPI and MPI in Large Scale Scientific Applications. PPAM (2) Dana Akhmetova, Luis Cebamanos, Roman Iakymchuk, Tiberiu Rotaru, Mirko Rahn, Stefano Markidis, Erwin Laure, Valeria Bartsch, Christian Simmendinger
2017	J	`jnl`	MPI Streams for HPC Applications. CoRR Ivy Bo Peng, Stefano Markidis, Roberto Gioiosa, Gokcen Kestor, Erwin Laure
2017	—	`conf`	MPI windows on storage for HPC applications. EuroMPI/USA Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis
2017	B	`conf`	Preparing HPC Applications for the Exascale Era: A Decoupling Strategy. ICPP Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Erwin Laure, Stefano Markidis
2017	J	`jnl`	Preparing HPC Applications for the Exascale Era: A Decoupling Strategy. CoRR Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Erwin Laure, Stefano Markidis
2017	J	`jnl`	Progress towards physics-based space weather forecasting with exascale computing. Adv. Eng. Softw. Maria Elena Innocenti, Alec Johnson, Stefano Markidis, Jorge Amaya, Jan Deca, Vyacheslav Olshevsky, Giovanni Lapenta
2017	C	`conf`	RTHMS: a tool for data placement on hybrid memory system. ISMM Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Pietro Cicotti, Erwin Laure, Stefano Markidis
2016	J	`jnl`	A Legendre-Fourier spectral method with exact conservation laws for the Vlasov-Poisson system. J. Comput. Phys. Gianmarco Manzini, Gian Luca Delzanno, Juris Vencels, Stefano Markidis
2016	Misc	`conf`	A Performance Characterization of Streaming Computing on Supercomputers. ICCS Stefano Markidis, Ivy Bo Peng, Roman Iakymchuk, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2016	—	`conf`	Exploring Application Performance on Emerging Hybrid-Memory Supercomputers. HPCC/SmartCity/DSS Ivy Bo Peng, Stefano Markidis, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2016	—	`conf`	Idle Period Propagation in Message-Passing Applications. HPCC/SmartCity/DSS Ivy Bo Peng, Stefano Markidis, Erwin Laure, Gokcen Kestor, Roberto Gioiosa
2016	J	`jnl`	Momentum conservation in Multi-Level Multi-Domain (MLMD) simulations. J. Comput. Phys. Maria Elena Innocenti, A. Beck, Stefano Markidis, Giovanni Lapenta
2016	J	`jnl`	Nekbone performance on GPUs with OpenACC and CUDA Fortran implementations. J. Supercomput. Jing Gong, Stefano Markidis, Erwin Laure, Matthew Otten, Paul F. Fischer, Misun Min
2016	—	`conf`	The EPiGRAM Project: Preparing Parallel Programming Models for Exascale. ISC Workshops Stefano Markidis, Ivy Bo Peng, Jesper Larsson Träff, Antoine Rougier, Valeria Bartsch, Rui Machado, Mirko Rahn, Alistair Hart, Daniel J. Holmes, Mark Bull, Erwin Laure
2015	—	`conf`	A data streaming model in MPI. ExaMPI@SC Ivy Bo Peng, Stefano Markidis, Erwin Laure, Daniel J. Holmes, Mark Bull
2015	C	`conf`	Evaluation of Parallel Communication Models in Nekbone, a Nek5000 Mini-Application. CLUSTER Ilya Ivanov, Jing Gong, Dana Akhmetova, Ivy Bo Peng, Stefano Markidis, Erwin Laure, Rui Machado, Mirko Rahn, Valeria Bartsch, Alistair Hart, Paul F. Fischer
2015	J	`jnl`	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. Concurr. Comput. Pract. Exp. A. Vapirev, Jan Deca, Giovanni Lapenta, Stefano Markidis, Ibrahim Hur, Jean-Luc Cambier
2015	J	`jnl`	Introduction of temporal sub-stepping in the Multi-Level Multi-Domain semi-implicit Particle-In-Cell code Parsek2D-MLMD. Comput. Phys. Commun. Maria Elena Innocenti, A. Beck, T. Ponweiser, Stefano Markidis, Giovanni Lapenta
2015	C	`conf`	On the Application Task Granularity and the Interplay with the Scheduling Overhead in Many-Core Shared Memory Systems. CLUSTER Dana Akhmetova, Gokcen Kestor, Roberto Gioiosa, Stefano Markidis, Erwin Laure
2015	J	`jnl`	OpenACC acceleration of the Nek5000 spectral element code. Int. J. High Perform. Comput. Appl. Stefano Markidis, Jing Gong, Michael Schliephake, Erwin Laure, Alistair Hart, David Henty, Katherine Heisey, Paul F. Fischer
2015	—	`ed.`	Solving Software Challenges for Exascale - International Conference on Exascale Applications and Software, EASC 2014, Stockholm, Sweden, April 2-3, 2014, Revised Selected Papers EASC Stefano Markidis, Erwin Laure
2015	Misc	`conf`	Spectral Solver for Multi-scale Plasma Physics Simulations with Dynamically Adaptive Number of Moments. ICCS Juris Vencels, Gian Luca Delzanno, Alec Johnson, Ivy Bo Peng, Erwin Laure, Stefano Markidis
2015	C	`conf`	The Cost of Synchronizing Imbalanced Processes in Message Passing Systems. CLUSTER Ivy Bo Peng, Stefano Markidis, Erwin Laure
2015	Misc	`conf`	The Formation of a Magnetosphere with Implicit Particle-in-Cell Simulations. ICCS Ivy Bo Peng, Stefano Markidis, Andris Vaivads, Juris Vencels, Jorge Amaya, Andrey Divin, Erwin Laure, Giovanni Lapenta
2014	J	`jnl`	Multi-level multi-domain algorithm implementation for two-dimensional multiscale particle in cell simulations. J. Comput. Phys. A. Beck, Maria Elena Innocenti, Giovanni Lapenta, Stefano Markidis
2014	—	`conf`	Nek5000 with OpenACC. EASC Jing Gong, Stefano Markidis, Michael Schliephake, Erwin Laure, Dan S. Henningson, Philipp Schlatter, Adam Peplinski, Alistair Hart, Jens Doleschal, David Henty, Paul F. Fischer
2014	J	`jnl`	The Fluid-Kinetic Particle-in-Cell method for plasma simulations. J. Comput. Phys. Stefano Markidis, Pierre Henri, Giovanni Lapenta, Kjell Rönnmark, Maria Hamrin, Zakaria Meliani, Erwin Laure
2014	J	`jnl`	Two-way coupling of a global Hall magnetohydrodynamics model with a local implicit particle-in-cell model. J. Comput. Phys. Lars K. S. Daldorff, Gábor Tóth, Tamas I. Gombosi, Giovanni Lapenta, Jorge Amaya, Stefano Markidis, Jeremiah U. Brackbill
2013	J	`jnl`	A Multi Level Multi Domain Method for Particle In Cell plasma simulations. J. Comput. Phys. Maria Elena Innocenti, Giovanni Lapenta, Stefano Markidis, A. Beck, A. Vapirev
2013	Misc	`conf`	High Performance Solvers for Implicit Particle in Cell Simulation. ICCS Pawan Kumar, Stefano Markidis, Giovanni Lapenta, Karl Meerbergen, Dirk Roose
2013	J	`jnl`	Space Weather Prediction and Exascale Computing. Comput. Sci. Eng. Giovanni Lapenta, Stefano Markidis, Stefaan Poedts, Dean Vucinic
2011	J	`jnl`	The energy conserving particle-in-cell method. J. Comput. Phys. Stefano Markidis, Giovanni Lapenta
2010	—	`conf`	Development and performance analysis of a UPC Particle-in-Cell code. PGAS Stefano Markidis, Giovanni Lapenta
2010	J	`jnl`	Multi-scale simulations of plasma with iPIC3D. Math. Comput. Simul. Stefano Markidis, Giovanni Lapenta, Rizwan Uddin
2005	J	`jnl`	Implementation and performance of a particle-in-cell code written in Java. Concurr. Pract. Exp. Stefano Markidis, Giovanni Lapenta, W. B. VanderHeyden, Zoran Budimlic
2005	Misc	`conf`	Plug and Play Approach to Validation of Particle-Based Algorithms. International Conference on Computational Science (3) Giovanni Lapenta, Stefano Markidis
2002	—	`conf`	Parsek: object oriented particle in cell. implementation and performance issues. Java Grande Stefano Markidis, Giovanni Lapenta, W. B. VanderHeyden