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Artur Podobas
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2020 – today
- 2024
- [j5]Björn A. Lindqvist
, Artur Podobas
Algorithms for Fast Spiking Neural Network Simulation on FPGAs. IEEE Access 12: 150334-150353 (2024) - [c49]Artur Podobas:
CGRA4HPC 2024 Welcome Message and Committee List. IPDPS (Workshops) 2024: 616-617 - [i28]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) - [i27]Björn A. Lindqvist, Artur Podobas:
Fast Algorithms for Spiking Neural Network Simulation with FPGAs. CoRR abs/2405.02019 (2024) - 2023
- [j4]Markus Flatken
VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. IEEE Access 11: 87805-87834 (2023) - [j3]Jens Domke
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20(4): 57:1-57:26 (2023) - [c48]Steven Wei Der Chien
Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. APNet 2023: 172-173 - [c47]Yifei He, Artur Podobas, Stefano Markidis:
Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. Euro-Par Workshops (1) 2023: 207-218 - [c46]Boma A. Adhi, Carlos Cortes, Emanuele Del Sozzo
Less for More: Reducing Intra-CGRA Connectivity for Higher Performance and Efficiency in HPC. IPDPS Workshops 2023: 452-459 - [c45]Artur Podobas:
Q2Logic: A Coarse-Grained FPGA Overlay targeting Schrödinger Quantum Circuit Simulations. IPDPS Workshops 2023: 460-467 - [i26]Artur Podobas:
Q2Logic: An Coarse-Grained Architecture targeting Schrödinger Quantum Circuit Simulations. CoRR abs/2303.01606 (2023) - [i25]Yifei He, Artur Podobas, Stefano Markidis:
Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. CoRR abs/2308.00497 (2023) - 2022
- [c44]Boma A. Adhi
The Cost of Flexibility: Embedded versus Discrete Routers in CGRAs for HPC. CLUSTER 2022: 347-356 - [c43]Yifei He, Artur Podobas, Måns I. Andersson
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. Euro-Par Workshops 2022: 80-92 - [c42]Boma A. Adhi
Exploring Inter-tile Connectivity for HPC-oriented CGRA with Lower Resource Usage. FPT 2022: 1-4 - [c41]Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia 2022: 94-102 - [c40]Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia 2022: 125-136 - [c39]Artur Podobas, Kentaro Sano, Jason Anderson:
The First International Workshop on Coarse-Grained Reconfigurable Architectures for High-Performance Computing (CGRA4HPC). IPDPS Workshops 2022: 625-626 - [c38]Boma A. Adhi
Exploration Framework for Synthesizable CGRAs Targeting HPC: Initial Design and Evaluation. IPDPS Workshops 2022: 639-646 - [c37]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 - [c36]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 - [c35]Måns I. Andersson
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. PPAM (1) 2022: 333-345 - [c34]Nick Brown
Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making. ISC Workshops 2022: 233-244 - [i24]Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka:
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR abs/2204.02235 (2022) - [i23]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) - [i22]Yifei He, Artur Podobas, Måns I. Andersson
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. CoRR abs/2207.06803 (2022) - [i21]Måns I. Andersson
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. CoRR abs/2208.13658 (2022) - 2021
- [c33]Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis:
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. CLUSTER 2021: 705-710 - [c32]Artur Podobas, Martin Svedin, Steven Wei Der Chien
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART 2021: 8:1-8:6 - [c31]Martin Svedin, Steven Wei Der Chien
Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers. HEART 2021: 9:1-9:6 - [c30]Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis:
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. IPDPS Workshops 2021: 449-458 - [c29]Jens Domke, Emil Vatai
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS 2021: 1056-1065 - [c28]Martin Karp, Artur Podobas, Niclas Jansson
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS 2021: 1077-1086 - [c27]Tim Dykes, Clément Foyer
Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems. P3HPC@SC 2021: 10-21 - [c26]Nick Brown
Utilising urgent computing to tackle the spread of mosquito-borne diseases. UrgentHPC@SC 2021: 36-44 - [i20]Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis:
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. CoRR abs/2103.09683 (2021) - [i19]Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas:
Benchmarking the Nvidia GPU Lineage. CoRR abs/2106.04979 (2021) - [i18]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) - [i17]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) - [i16]Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis:
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. CoRR abs/2107.06676 (2021) - [i15]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) - [i14]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) - [i13]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) - [i12]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
- [j2]Artur Podobas
A Survey on Coarse-Grained Reconfigurable Architectures From a Performance Perspective. IEEE Access 8: 146719-146743 (2020) - [c25]Artur Podobas, Kentaro Sano, Satoshi Matsuoka:
A Template-based Framework for Exploring Coarse-Grained Reconfigurable Architectures. ASAP 2020: 1-8 - [c24]Steven Wei Der Chien
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. CLUSTER 2020: 359-370 - [c23]Jens Huthmann, Artur Podobas, Lukas Sommer, Andreas Koch, Kentaro Sano:
Extending High-Level Synthesis with High-Performance Computing Performance Visualization. CLUSTER 2020: 371-380 - [c22]Jens Huthmann, Lukas Sommer
OpenMP Device Offloading to FPGAs Using the Nymble Infrastructure. IWOMP 2020: 265-279 - [c21]Steven Wei Der Chien
sputniPIC: An Implicit Particle-in-Cell Code for Multi-GPU Systems. SBAC-PAD 2020: 149-156 - [c20]Stefano Markidis, Ivy Bo Peng
Automatic Particle Trajectory Classification in Plasma Simulations. MLHPC/AI4S@SC 2020: 64-71 - [i11]Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
High-Performance High-Order Stencil Computation on FPGAs Using OpenCL. CoRR abs/2002.05983 (2020) - [i10]Artur Podobas, Kentaro Sano, Satoshi Matsuoka:
A Survey on Coarse-Grained Reconfigurable Architectures from a Performance Perspective. CoRR abs/2004.04509 (2020) - [i9]Roman Iakymchuk
White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. CoRR abs/2004.04628 (2020) - [i8]Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR abs/2005.13425 (2020) - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka:
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR abs/2010.14373 (2020)
2010 – 2019
- 2019
- [c19]Jens Huthmann, Shin Abiko, Artur Podobas, Kentaro Sano, Hiroyuki Takizawa
Scaling Performance for N-Body Stream Computation with a Ring of FPGAs. HEART 2019: 10:1-10:6 - [c18]Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka:
Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches? IPDPS 2019: 78-88 - [c17]Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka:
Learning Neural Representations for Predicting GPU Performance. ISC 2019: 40-58 - 2018
- [c16]Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka:
Predicting Performance Using Collaborative Filtering. CLUSTER 2018: 504-514 - [c15]Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL. FPGA 2018: 153-162 - [c14]Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
High-Performance High-Order Stencil Computation on FPGAs Using OpenCL. IPDPS Workshops 2018: 123-130 - [c13]Artur Podobas, Satoshi Matsuoka:
Hardware Implementation of POSITs and Their Application in FPGAs. IPDPS Workshops 2018: 138-145 - [c12]Kazuaki Matsumura, Mitsuhisa Sato, Taisuke Boku, Artur Podobas, Satoshi Matsuoka:
MACC: An OpenACC Transpiler for Automatic Multi-GPU Use. SCFA 2018: 109-127 - [i2]Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL. CoRR abs/1802.00438 (2018) - [i1]Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka:
Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches? CoRR abs/1810.09330 (2018) - 2017
- [c11]Artur Podobas, Hamid Reza Zohouri, Naoya Maruyama, Satoshi Matsuoka:
Evaluating high-level design strategies on FPGAs for high-performance computing. FPL 2017: 1-4 - [c10]Artur Podobas, Hamid Reza Zohouri, Naoya Maruyama, Satoshi Matsuoka:
Evaluating high-level design strategies on FPGAs for high-performance computing. FPL 2017: 1-4 - [c9]Artur Podobas, Satoshi Matsuoka:
Designing and accelerating spiking neural networks using OpenCL for FPGAs. FPT 2017: 255-258 - 2016
- [c8]Artur Podobas, Sven Karlsson
Towards Unifying OpenMP Under the Task-Parallel Paradigm - Implementation and Performance of the taskloop Construct. IWOMP 2016: 116-129 - [c7]Ananya Muddukrishna, Peter A. Jonsson, Artur Podobas, Mats Brorsson:
Grain graphs: OpenMP performance analysis made easy. PPoPP 2016: 28:1-28:13 - [c6]Artur Podobas, Mats Brorsson:
Empowering OpenMP with automatically generated hardware. SAMOS 2016: 245-252 - 2015
- [b1]Artur Podobas:
Improving Performance and Quality-of-Service through the Task-Parallel Model : Optimizations and Future Directions for OpenMP. Royal Institute of Technology, Stockholm, Sweden, 2015 - [j1]Artur Podobas, Mats Brorsson, Karl-Filip Faxén:
A comparative performance study of common and popular task-centric programming frameworks. Concurr. Comput. Pract. Exp. 27(1): 1-28 (2015) - [c5]Lars F. Bonnichsen, Artur Podobas:
Using Transactional Memory to Avoid Blocking in OpenMP Synchronization Directives - Don't Wait, Speculate! IWOMP 2015: 149-161 - 2014
- [c4]Artur Podobas, Mats Brorsson, Vladimir Vlassov:
TurboBŁYSK: Scheduling for Improved Data-Driven Task Performance with Fast Dependency Resolution. IWOMP 2014: 45-57 - [c3]Artur Podobas:
Accelerating Parallel Computations with OpenMP-Driven System-on-Chip Generation for FPGAs. MCSoC 2014: 149-156 - 2012
- [c2]Artur Podobas, Mats Brorsson, Vladimir Vlassov
Exploring Heterogeneous Scheduling Using the Task-Centric Programming Model. Euro-Par Workshops 2012: 133-144 - [c1]Ananya Muddukrishna, Artur Podobas, Mats Brorsson, Vladimir Vlassov
Task Scheduling on Manycore Processors with Home Caches. Euro-Par Workshops 2012: 357-367
Coauthor Index
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