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ORCIDPawel Rosciszewski
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2020 – today
- 2023
[j5]Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte
, Krzysztof Rojek, Pawel Gepner:
Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations. Future Gener. Comput. Syst. 147: 149-162 (2023)- 2022
- [c10]Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner:
Adaptation of AI-Accelerated CFD Simulations to the IPU Platform. PPAM (2) 2022: 223-235 - 2021
- [j4]Pawel Rosciszewski, Michal Martyniak, Filip Schodowski:
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads. J. Mach. Learn. Res. 22: 215:1-215:5 (2021) - [c9]Tomasz Kolodziej, Pawel Rosciszewski:
Towards Scalable Simulation of Federated Learning. ICONIP (5) 2021: 248-256 - 2020
- [c8]Adam Brzeski, Jan Cychnerski, Karol Draszawka, Krystyna Dziubich, Tomasz Dziubich, Waldemar Korlub, Pawel Rosciszewski:
Automated Classifier Development Process for Recognizing Book Pages from Video Frames. ADBIS/TPDL/EDA Workshops 2020: 169-179
2010 – 2019
- 2019
- [c7]Pawel Czarnul, Pawel Rosciszewski:
Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge. HPCS 2019: 551-558 - [c6]Pawel Rosciszewski, Michal Iwanski, Pawel Czarnul:
The impact of the AC922 Architecture on Performance of Deep Neural Network Training. HPCS 2019: 666-673 - 2018
- [i1]Pawel Rosciszewski:
Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption. CoRR abs/1809.07611 (2018) - 2017
- [j3]Pawel Rosciszewski:
From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition. Comput. Sci. 18(4) (2017) - [j2]Pawel Czarnul, Jaroslaw Kuchta, Mariusz R. Matuszek, Jerzy Proficz, Pawel Rosciszewski, Michal Wójcik, Julian Szymanski:
MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems. Simul. Model. Pract. Theory 77: 124-140 (2017) - [c5]Pawel Rosciszewski:
Modeling and Simulation for Exploring Power/Time Trade-off of Parallel Deep Neural Network Training. ICCS 2017: 2463-2467 - [c4]Pawel Rosciszewski, Jakub Kaliski:
Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging. HPCS 2017: 560-565 - 2016
- [j1]Pawel Rosciszewski, Pawel Czarnul, Rafal Lewandowski, Marcel Schally-Kacprzak:
KernelHive: a new workflow-based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs. Concurr. Comput. Pract. Exp. 28(9): 2586-2607 (2016) - [c3]Pawel Czarnul, Jaroslaw Kuchta, Pawel Rosciszewski, Jerzy Proficz:
Modeling energy consumption of parallel applications. FedCSIS 2016: 855-864 - 2015
- [c2]Pawel Czarnul, Pawel Rosciszewski, Mariusz R. Matuszek, Julian Szymanski:
Simulation of parallel similarity measure computations for large data sets. CYBCONF 2015: 472-477 - 2014
- [c1]Pawel Czarnul, Pawel Rosciszewski:
Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs. ICDCN 2014: 66-80
Coauthor Index
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