Computational Methods for Petascale Research¶
The Workshop on Computational Methods for Petascale Research is part of the 26th International Conference on Computational Science, which will be held at DESY, Hamburg in Germany from 29 June to 1 July 2026.
This workshop gathers researchers and scientists who are working with experiments that acquire petabytes of data and/or require petaflops of computing power to simulate or to analyse their outputs. Such experiments and observatories require sophisticated and cutting edge data management solutions and drive research into reliable and scalable methods, frequently unique to science. Data acquisition, from triggering to streaming, and including fast data reduction and compression, is key to selecting science signals from noise. Efficient algorithms, and the use of modern processors such as GPUs and FPGAs, are essential to handle these data volumes and extract knowledge. Machine Learning techniques have become key in this field, and power ever more effective data processing, fast simulations and digital twin approaches.
The workshop solicits papers on all of the themes mentioned above and particularly highlights the topics of:
- Data management at PB scale and beyond
- Data streaming for high data rate experiments
- Efficient algorithms for handling massive datasets on modern hardware
- Machine learning applied to big data sciences
- Digital twins and high performance simulations
Paper Submissions¶
We welcome original unpublished contributions that address the topics of the workshop. Please follow the general guidelines for the conference and take note of important dates.
If you have any questions, please contact the Programme Committee.