Pawel Rosciszewski

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 14

Top Topics

Neural Network Training

High Performance Computing

Power Consumption

Parallel Processing

Top Venues

Future Gener. Comput. Syst.

ADBIS/TPDL/EDA Workshops

Publications

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 (2023)
Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner
Adaptation of AI-Accelerated CFD Simulations to the IPU Platform. PPAM (2) (2022)
Pawel Rosciszewski, Michal Martyniak, Filip Schodowski
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads. J. Mach. Learn. Res. 22 (2021)
Tomasz Kolodziej, Pawel Rosciszewski
Towards Scalable Simulation of Federated Learning. ICONIP (5) (2021)
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)
Pawel Czarnul, Pawel Rosciszewski
Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge. HPCS (2019)
Pawel Rosciszewski, Michal Iwanski, Pawel Czarnul
The impact of the AC922 Architecture on Performance of Deep Neural Network Training. HPCS (2019)
Pawel Rosciszewski
Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption. CoRR (2018)
Pawel Rosciszewski
Modeling and Simulation for Exploring Power/Time Trade-off of Parallel Deep Neural Network Training. ICCS (2017)
Pawel Rosciszewski, Jakub Kaliski
Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging. HPCS (2017)
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 (2017)
Pawel Rosciszewski
From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition. Comput. Sci. 18 (4) (2017)
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) (2016)
Pawel Czarnul, Jaroslaw Kuchta, Pawel Rosciszewski, Jerzy Proficz
Modeling energy consumption of parallel applications. FedCSIS (2016)
Pawel Czarnul, Pawel Rosciszewski, Mariusz R. Matuszek, Julian Szymanski
Simulation of parallel similarity measure computations for large data sets. CYBCONF (2015)
Pawel Czarnul, Pawel Rosciszewski
Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs. ICDCN (2014)