Pawel Rosciszewski

According to our database, Pawel Rosciszewski authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations.

Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner

Future Gener. Comput. Syst., 2023

2022

Adaptation of AI-Accelerated CFD Simulations to the IPU Platform.

Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner

Proceedings of the Parallel Processing and Applied Mathematics, 2022

2021

TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads.

Pawel Rosciszewski, Michal Martyniak, Filip Schodowski

J. Mach. Learn. Res., 2021

Towards Scalable Simulation of Federated Learning.

Tomasz Kolodziej, Pawel Rosciszewski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Automated Classifier Development Process for Recognizing Book Pages from Video Frames.

Adam Brzeski, Jan Cychnerski, Karol Draszawka, Krystyna Dziubich, Tomasz Dziubich, Waldemar Korlub, Pawel Rosciszewski

Proceedings of the ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 2020

2019

The impact of the AC922 Architecture on Performance of Deep Neural Network Training.

Pawel Rosciszewski, Michal Iwanski, Pawel Czarnul

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge.

Pawel Czarnul, Pawel Rosciszewski

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2018

Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption.

Pawel Rosciszewski

CoRR, 2018

2017

MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems.

Pawel Czarnul, Jaroslaw Kuchta, Mariusz R. Matuszek, Jerzy Proficz, Pawel Rosciszewski, Michal Wójcik, Julian Szymanski

Simul. Model. Pract. Theory, 2017

From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition.

Pawel Rosciszewski

Comput. Sci., 2017

Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging.

Pawel Rosciszewski, Jakub Kaliski

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Modeling and Simulation for Exploring Power/Time Trade-off of Parallel Deep Neural Network Training.

Pawel Rosciszewski

Proceedings of the International Conference on Computational Science, 2017

2016

KernelHive: a new workflow-based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs.

Pawel Rosciszewski, Pawel Czarnul, Rafal Lewandowski, Marcel Schally-Kacprzak

Concurr. Comput. Pract. Exp., 2016

Modeling energy consumption of parallel applications.

Pawel Czarnul, Jaroslaw Kuchta, Pawel Rosciszewski, Jerzy Proficz

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Simulation of parallel similarity measure computations for large data sets.

Pawel Czarnul, Pawel Rosciszewski, Mariusz R. Matuszek, Julian Szymanski

Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014

Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs.

Pawel Czarnul, Pawel Rosciszewski

Proceedings of the Distributed Computing and Networking - 15th International Conference, 2014