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2020 – today
- 2023
[j30]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)- [j29]Stefano Markidis:
Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies. Entropy 25(4): 694 (2023) - [j28]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) - [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) - [c63]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 - [c62]Gilbert Netzer, Stefano Markidis:
QHDL: a Low-Level Circuit Description Language for Quantum Computing. CF 2023: 201-204 - [c61]Felix Liu, Albin Fredriksson, Stefano Markidis:
Parallel Cholesky Factorization for Banded Matrices Using OpenMP Tasks. Euro-Par 2023: 725-739 - [c60]Måns Ivar Andersson, Stefano Markidis:
A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms. HPC Asia 2023: 55-63 - [c59]Daniel Araújo de Medeiros, Stefano Markidis, Ivy Bo Peng:
LibCOS: Enabling Converged HPC and Cloud Data Stores with MPI. HPC Asia 2023: 106-116 - [c58]Nattawat Pornthisan, Stefano Markidis:
Fast Electromagnetic Field Pattern Calculation with Fourier Neural Operators. ICCS (2) 2023: 247-255 - [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]Ivy Bo Peng, Jeffrey S. Vetter, Shirley Moore, Joydeep Rakshit, Stefano Markidis:
Analyzing the suitability of contemporary 3D-stacked PIM architectures for HPC scientific applications. CF 2019: 256-262 - [c35]Sergio Rivas-Gomez, Alessandro Fanfarillo, Sébastien Valat, Christophe Laferriere, Philippe Couvée, Sai Narasimhamurthy, Stefano Markidis:
uMMAP-IO: User-Level Memory-Mapped I/O for HPC. HiPC 2019: 363-372 - [c34]Chaitanya Prasad Sishtla, Steven Wei Der Chien, Vyacheslav Olshevsky, Erwin Laure, Stefano Markidis:
Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code. ICCS (5) 2019: 612-618 - [c33]Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter:
TensorFlow Doing HPC. IPDPS Workshops 2019: 509-518 - [c32]Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis:
Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications. PPAM (1) 2019: 301-310 - [c31]Sergio Rivas-Gomez, Alessandro Fanfarillo, Sai Narasimhamurthy, Stefano Markidis:
Persistent coarrays: integrating MPI storage windows in coarray fortran. EuroMPI 2019: 3:1-3:8 - [c30]Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis:
Performance Evaluation of Advanced Features in CUDA Unified Memory. MCHPC@SC 2019: 50-57 - [i19]Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter:
TensorFlow Doing HPC. CoRR abs/1903.04364 (2019) - [i18]Chaitanya Prasad Sishtla, Steven Wei Der Chien, Vyacheslav Olshevsky, Erwin Laure, Stefano Markidis:
Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code. CoRR abs/1904.03684 (2019) - [i17]Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis:
Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications. CoRR abs/1907.05917 (2019) - [i16]Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Andrey Divin, Gian Luca Delzanno, Sven Anderzen, Pawel Andrzej Herman, Steven Wei Der Chien, Levon Avanov, Stefano Markidis:
Automated classification of plasma regions using 3D particle energy distribution. CoRR abs/1908.05715 (2019) - [i15]Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis:
Performance Evaluation of Advanced Features in CUDA Unified Memory. CoRR abs/1910.09598 (2019) - 2018
- [j18]Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Jeffrey S. Vetter, Pietro Cicotti, Erwin Laure, Stefano Markidis:
Characterizing the performance benefit of hybrid memory system for HPC applications. Parallel Comput. 76: 57-69 (2018) - [j17]Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis:
MPI windows on storage for HPC applications. Parallel Comput. 77: 38-56 (2018) - [j16]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:
A taxonomy of task-based parallel programming technologies for high-performance computing. J. Supercomput. 74(4): 1422-1434 (2018) - [c29]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:
The SAGE project: a storage centric approach for exascale computing: invited paper. CF 2018: 287-292 - [c28]Sergio Rivas-Gomez, Stefano Markidis, Erwin Laure, Keeran Brabazon, Oliver Perks, Sai Narasimhamurthy:
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. HPCC/SmartCity/DSS 2018: 921-927 - [c27]Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter:
NVIDIA Tensor Core Programmability, Performance & Precision. IPDPS Workshops 2018: 522-531 - [c26]Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis:
Exploring the Vision Processing Unit as Co-Processor for Inference. IPDPS Workshops 2018: 589-598 - [c25]Muhammed Abdullah Al Ahad, Christian Simmendinger, Roman Iakymchuk, Erwin Laure, Stefano Markidis:
Efficient Algorithms for Collective Operations with Notified Communication in Shared Windows. PAW-ATM@SC 2018: 1-10 - [c24]Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure:
Characterizing Deep-Learning I/O Workloads in TensorFlow. PDSW-DISCS@SC 2018: 54-63 - [c23]Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. ISC Workshops 2018: 117-130 - [i14]Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter:
NVIDIA Tensor Core Programmability, Performance & Precision. CoRR abs/1803.04014 (2018) - [i13]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. CoRR abs/1805.00556 (2018) - [i12]Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. CoRR abs/1807.02562 (2018) - [i11]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:
The SAGE Project: a Storage Centric Approach for Exascale Computing. CoRR abs/1807.03632 (2018) - [i10]Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure:
Characterizing Deep-Learning I/O Workloads in TensorFlow. CoRR abs/1810.03035 (2018) - [i9]Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis:
MPI Windows on Storage for HPC Applications. CoRR abs/1810.04110 (2018) - [i8]Sergio Rivas-Gomez, Sai Narasimhamurthy, Keeran Brabazon, Oliver Perks, Erwin Laure, Stefano Markidis:
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. CoRR abs/1810.04146 (2018) - [i7]Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis:
Exploring the Vision Processing Unit as Co-processor for Inference. CoRR abs/1810.04150 (2018) - 2017
- [j15]Maria Elena Innocenti, Alec Johnson, Stefano Markidis, Jorge Amaya, Jan Deca, Vyacheslav Olshevsky, Giovanni Lapenta:
Progress towards physics-based space weather forecasting with exascale computing. Adv. Eng. Softw. 111: 3-17 (2017) - [c22]Sergio Rivas-Gomez, Stefano Markidis, Ivy Bo Peng, Erwin Laure, Gokcen Kestor, Roberto Gioiosa:
Extending Message Passing Interface Windows to Storage. CCGrid 2017: 727-730 - [c21]Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Erwin Laure, Stefano Markidis:
Preparing HPC Applications for the Exascale Era: A Decoupling Strategy. ICPP 2017: 1-10 - [c20]Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Pietro Cicotti, Erwin Laure, Stefano Markidis:
Exploring the Performance Benefit of Hybrid Memory System on HPC Environments. IPDPS Workshops 2017: 683-692 - [c19]Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Pietro Cicotti, Erwin Laure, Stefano Markidis:
RTHMS: a tool for data placement on hybrid memory system. ISMM 2017: 82-91 - [c18]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:
A Taxonomy of Task-Based Technologies for High-Performance Computing. PPAM (2) 2017: 264-274 - [c17]Dana Akhmetova, Luis Cebamanos, Roman Iakymchuk, Tiberiu Rotaru, Mirko Rahn, Stefano Markidis, Erwin Laure, Valeria Bartsch, Christian Simmendinger:
Interoperability of GASPI and MPI in Large Scale Scientific Applications. PPAM (2) 2017: 277-287 - [c16]