Abstract
This paper presents the design and implementation of a scalable compute platform for processing large data sets in the scope of the EU H2020 project PROCESS. We are presenting requirements of the platform, related works, infrastructure with focus on the compute components and finally results of our work.
Keywords
Cite this article
@article{cai-5351,
author = {Jan Meizner and Piotr Nowakowski and Jan Kapala and Patryk Wojtowicz and Marian Bubak and Viet Tran and Martin Bobák and Maximilian Höb},
title = {Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure},
journal = {Computing and Informatics},
volume = {39},
number = {4},
pages = {860--880},
year = {2020},
issn = {1335-9150},
doi = {10.31577/cai_2020_4_860}
}
TY - JOUR AU - Jan Meizner AU - Piotr Nowakowski AU - Jan Kapala AU - Patryk Wojtowicz AU - Marian Bubak AU - Viet Tran AU - Martin Bobák AU - Maximilian Höb TI - Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure JO - Computing and Informatics VL - 39 IS - 4 SP - 860 EP - 880 PY - 2020 SN - 1335-9150 DO - 10.31577/cai_2020_4_860 UR - https://doi.org/10.31577/cai_2020_4_860 KW - Exascale computing KW - large data sets KW - HPC KW - cloud computing ER -
Meizner, J., Nowakowski, P., Kapala, J., Wojtowicz, P., Bubak, M., Tran, V., Bobák, M., & Höb, M. (2020). Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure. Computing and Informatics, 39(4), 860–880. https://doi.org/10.31577/cai_2020_4_860