Maciej Pawlik
Maciej Pawlik
Academic Computer Centre CYFRONET of the University of Science and Technology in Cracow
Verified email at - Homepage
Cited by
Cited by
Challenges for scheduling scientific workflows on cloud functions
J Kijak, P Martyna, M Pawlik, B Balis, M Malawski
2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 460-467, 2018
Cosmic-ray extremely distributed observatory
P Homola, D Beznosko, G Bhatta, Ł Bibrzycki, M Borczyńska, Ł Bratek, ...
Symmetry 12 (11), 1835, 2020
Towards an operational database for real-time environmental monitoring and early warning systems
B Balis, M Bubak, D Harezlak, P Nowakowski, M Pawlik, B Wilk
Procedia Computer Science 108, 2250-2259, 2017
Porting HPC applications to the cloud: A multi-frontal solver case study
B Balis, K Figiela, K Jopek, M Malawski, M Pawlik
Journal of Computational Science 18, 106-116, 2017
Implementation of the aggregated R-tree over flash memory
M Pawlik, W Macyna
International Conference on Database Systems for Advanced Applications, 65-72, 2012
Transparent deployment of scientific workflows across clouds-kubernetes approach
M Orzechowski, B Balis, K Pawlik, M Pawlik, M Malawski
2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018
Execution management and efficient resource provisioning for flood decision support
B Balis, M Kasztelnik, M Malawski, P Nowakowski, B Wilk, M Pawlik, ...
Procedia Computer Science 51, 2377-2386, 2015
Composing, execution and sharing of multiscale applications
K Rycerz, M Bubak, E Ciepiela, D Hareżlak, T Gubała, J Meizner, ...
Future Generation Computer Systems 53, 77-87, 2015
A lightweight approach for deployment of scientific workflows in cloud infrastructures
B Balis, K Figiela, M Malawski, M Pawlik, M Bubak
International Conference on Parallel Processing and Applied Mathematics, 281-290, 2015
Support for multiscale simulations with molecular dynamics
K Rycerz, E Ciepiela, G Dyk, D Groen, T Gubala, D Harezlak, M Pawlik, ...
Procedia Computer Science 18, 1116-1125, 2013
Foundations for workflow application scheduling on d-wave system
D Tomasiewicz, M Pawlik, M Malawski, K Rycerz
International Conference on Computational Science, 516-530, 2020
Performance considerations on execution of large scale workflow applications on cloud functions
M Pawlik, K Figiela, M Malawski
arXiv preprint arXiv:1909.03555, 2019
Serverless Containers–rising viable approach to Scientific Workflows
K Burkat, M Pawlik, B Balis, M Malawski, K Vahi, M Rynge, RF da Silva, ...
2021 IEEE 17th International Conference on eScience (eScience), 40-49, 2021
Adaptation of workflow application scheduling algorithm to serverless infrastructure
M Pawlik, P Banach, M Malawski
European Conference on Parallel Processing, 345-356, 2019
Performance evaluation of parallel cloud functions
M Pawlik, K Figiela, M Malawski
Poster presented at ICPP, 2018
Smart levee monitoring and flood decision support system: reference architecture and urgent computing management
B Balis, T Bartynski, M Bubak, D Harezlak, M Kasztelnik, M Malawski, ...
Procedia computer science 108, 2220-2229, 2017
CNN-based classifier as an offline trigger for the CREDO experiment
M Piekarczyk, O Bar, Ł Bibrzycki, M Niedźwiecki, K Rzecki, S Stuglik, ...
Sensors 21 (14), 4804, 2021
Integrating various grid middleware components and user services into a single platform
M Radecki, T Szymocha, D Harężlak, M Pawlik, J Andrzejewski, W Ziajka, ...
Building a National Distributed e-Infrastructure–PL-Grid, 15-26, 2012
Cloud infrastructure automation for scientific workflows
B Balis, M Orzechowski, K Pawlik, M Pawlik, M Malawski
International Conference on Parallel Processing and Applied Mathematics, 287-297, 2019
Enabling multiscale fusion simulations on distributed computing resources
K Rycerz, M Bubak, E Ciepiela, M Pawlik, O Hoenen, D Harężlak, B Wilk, ...
eScience on Distributed Computing Infrastructure, 195-210, 2014
The system can't perform the operation now. Try again later.
Articles 1–20