Pawel Rosciszewski

Orcid: 0000-0002-7070-1684

According to our database1, Pawel Rosciszewski authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations.
Future Gener. Comput. Syst., 2023

2022
Adaptation of AI-Accelerated CFD Simulations to the IPU Platform.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

2021
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads.
J. Mach. Learn. Res., 2021

Towards Scalable Simulation of Federated Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Automated Classifier Development Process for Recognizing Book Pages from Video Frames.
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.
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.
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.
CoRR, 2018

2017
MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems.
Simul. Model. Pract. Theory, 2017

From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition.
Comput. Sci., 2017

Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging.
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.
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.
Concurr. Comput. Pract. Exp., 2016

Modeling energy consumption of parallel applications.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015
Simulation of parallel similarity measure computations for large data sets.
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.
Proceedings of the Distributed Computing and Networking - 15th International Conference, 2014


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