Artur Podobas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2012–2026
Best venue rank
B
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroPar | NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures. | Muhammad Ihsan Al Hafiz, Artur Podobas |
| 2025 | CLOUD | Untitled record | Steven W. D. Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda |
| 2025 | SC | IzhiRISC-V - a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons. | Wiktor Jan Szczerek, Artur Podobas |
| 2023 | EuroPar | Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. | Yifei He, Artur Podobas, Stefano Markidis |
| 2022 | CLUSTER | The Cost of Flexibility: Embedded versus Discrete Routers in CGRAs for HPC. | Boma A. Adhi, Carlos Cortes, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano |
| 2022 | EuroPar | FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries. | Yifei He, Artur Podobas, Mns I. Andersson, Stefano Markidis |
| 2022 | PDP | NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage. | Steven Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Andrzej Herman, Ganesan Umanesan, Sai Narasimhamurthy, Stefano Markidis |
| 2022 | PPAM | Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. | Mns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis |
| 2021 | CLUSTER | Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. | Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis |
| 2021 | SC | Utilising urgent computing to tackle the spread of mosquito-borne diseases. | 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 | CLUSTER | tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. | Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis |
| 2020 | CLUSTER | Extending High-Level Synthesis with High-Performance Computing Performance Visualization. | Jens Huthmann, Artur Podobas, Lukas Sommer, Andreas Koch, Kentaro Sano |
| 2020 | SC | Automatic Particle Trajectory Classification in Plasma Simulations. | Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman |
| 2020 | SBAC-PAD | sputniPIC: An Implicit Particle-in-Cell Code for Multi-GPU Systems. | Steven Wei Der Chien, Jonas Nylund, Gabriel Bengtsson, Ivy Bo Peng, Artur Podobas, Stefano Markidis |
| 2018 | CLUSTER | Predicting Performance Using Collaborative Filtering. | Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka |
| 2018 | FPGA | Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL. | Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka |
| 2017 | FPL | Evaluating high-level design strategies on FPGAs for high-performance computing. | Artur Podobas, Hamid Reza Zohouri, Naoya Maruyama, Satoshi Matsuoka |
| 2017 | FPL | Evaluating high-level design strategies on FPGAs for high-performance computing. | Artur Podobas, Hamid Reza Zohouri, Naoya Maruyama, Satoshi Matsuoka |
| 2016 | PPoPP | Grain graphs: OpenMP performance analysis made easy. | Ananya Muddukrishna, Peter A. Jonsson, Artur Podobas, Mats Brorsson |
| 2012 | EuroPar | Task Scheduling on Manycore Processors with Home Caches. | Ananya Muddukrishna, Artur Podobas, Mats Brorsson, Vladimir Vlassov |
| 2012 | EuroPar | Exploring Heterogeneous Scheduling Using the Task-Centric Programming Model. | Artur Podobas, Mats Brorsson, Vladimir Vlassov |