Towards exascale computing architecture and its prototype: Services and infrastructure

被引：0

作者：

Meizner J. ^{[1
,2
]}

Nowakowski P. ^{[1
,2
]}

Kapala J. ^{[1
]}

Wojtowicz P. ^{[1
]}

Bubak M. ^{[1
,2
,3
]}

Tran V. ^{[4
]}

Bobák M. ^{[4
]}

Höb M. ^{[5
]}

机构：

[1] ACC Cyfronet, AGH University of Science and Technology, Krakow

[2] Sano Centre for Computational Medicine, Krakow

[3] Department of Computer Science, AGH University of Science and Technology, Krakow

[4] Institute of Informatics, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava

[5] Munich Network Management Team (MNM-Team), Ludwig-Maximilians Universität, Munich

来源：

Computing and Informatics | 2021年 / 39卷 / 04期

基金：

欧盟地平线“2020”;

关键词：

Cloud computing; Exascale computing; HPC; Large data sets;

D O I：

10.31577/CAI_2020_4_860

中图分类号：

学科分类号：

摘要：

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. © 2020 Slovak Academy of Sciences. All rights reserved.

引用

页码：860 / 880

页数：20

共 23 条

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