Pawel Rosciszewski

16 papers C 1Misc 2Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations.
Future Gener. Comput. Syst.
Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner
2022 — conf
Adaptation of AI-Accelerated CFD Simulations to the IPU Platform.
PPAM (2)
Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner
2021 J jnl
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads.
J. Mach. Learn. Res.
Pawel Rosciszewski, Michal Martyniak, Filip Schodowski
2021 — conf
Towards Scalable Simulation of Federated Learning.
ICONIP (5)
Tomasz Kolodziej, Pawel Rosciszewski
2020 — conf
Automated Classifier Development Process for Recognizing Book Pages from Video Frames.
ADBIS/TPDL/EDA Workshops
Adam Brzeski, Jan Cychnerski, Karol Draszawka, Krystyna Dziubich, Tomasz Dziubich, Waldemar Korlub, Pawel Rosciszewski
2019 — conf
Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge.
HPCS
Pawel Czarnul, Pawel Rosciszewski
2019 — conf
The impact of the AC922 Architecture on Performance of Deep Neural Network Training.
HPCS
Pawel Rosciszewski, Michal Iwanski, Pawel Czarnul
2018 J jnl
Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption.
CoRR
Pawel Rosciszewski
2017 J jnl
From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition.
Comput. Sci.
Pawel Rosciszewski
2017 J jnl
MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems.
Simul. Model. Pract. Theory
Pawel Czarnul, Jaroslaw Kuchta, Mariusz R. Matuszek, Jerzy Proficz, Pawel Rosciszewski, Michal Wójcik, Julian Szymanski
2017 — conf
Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging.
HPCS
Pawel Rosciszewski, Jakub Kaliski
2017 Misc conf
Modeling and Simulation for Exploring Power/Time Trade-off of Parallel Deep Neural Network Training.
ICCS
Pawel Rosciszewski
2016 J jnl
KernelHive: a new workflow-based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs.
Concurr. Comput. Pract. Exp.
Pawel Rosciszewski, Pawel Czarnul, Rafal Lewandowski, Marcel Schally-Kacprzak
2016 C conf
Modeling energy consumption of parallel applications.
FedCSIS
Pawel Czarnul, Jaroslaw Kuchta, Pawel Rosciszewski, Jerzy Proficz
2015 — conf
Simulation of parallel similarity measure computations for large data sets.
CYBCONF
Pawel Czarnul, Pawel Rosciszewski, Mariusz R. Matuszek, Julian Szymanski
2014 Misc conf
Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs.
ICDCN
Pawel Czarnul, Pawel Rosciszewski