EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds

被引：0

作者：

Tzenetopoulos, Achilleas ^{[1
]}

Masouros, Dimosthenis ^{[1
]}

Koliogeorgi, Konstantina ^{[1
]}

Xydis, Sotirios ^{[1
,2
]}

Soudris, Dimitrios ^{[1
]}

Chazapis, Antony ^{[3
]}

Kozanitis, Christos ^{[3
]}

Bilas, Angelos ^{[3
]}

Pinto, Christian ^{[4
]}

Huy-Nam Nguyen ^{[5
]}

Louloudakis, Stelios ^{[6
]}

Gardikis, Georgios ^{[7
]}

Vamvakas, George ^{[7
]}

Aubrun, Michelle ^{[8
]}

Symeonidou, Christy ^{[9
]}

Spitadakis, Vassilis ^{[9
]}

Xylogiannopoulos, Konstantinos ^{[10
]}

Peischl, Bernhard ^{[10
]}

Kalayci, Tahir Emre ^{[11
]}

Stocker, Alexander ^{[11
]}

Acquaviva, Jean-Thomas ^{[12
]}

机构：

[1] Inst Commun & Comp Syst ICCS, Athens, Greece

[2] Harokopio Univ Athens HUA, Dept Informat & Telemat DIT, Athens, Greece

[3] FORTH, Inst Comp Sci, Iraklion, Greece

[4] IBM Res Europe, Dublin, Ireland

[5] ATOS Bull, Paris, France

[6] Sunlight Io, Iraklion, Greece

[7] Space Hellas SA, Athens, Greece

[8] Thales Alenia Space, Toulouse, France

[9] NEUROCOM Luxembourg, Luxembourg, Luxembourg

[10] AVL List GmbH, Graz, Austria

[11] Virtual Vehicle Res GmbH, Graz, Austria

[12] DataDirect Networks, Paris, France

来源：

PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022) | 2022年

基金：

欧盟地平线“2020”;

关键词：

HPC; Cloud-computing; Big-Data; computing platform; accelerators; interference; resource orchestration;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

EVOLVE is a pan European Innovation Action that aims to fully-integrate High-Performance-Computing (HPC) hardware with state-of-the-art software technologies under a unique testbed, that enables the convergence of HPC, Cloud and Big-Data worlds and increases our ability to extract value from massive and demanding datasets. EVOLVE's advanced compute platform combines HPC-enabled capabilities, with transparent deployment in high abstraction level, and a versatile Big-Data processing stack for end-to-end workflows. Hence, domain experts have the potential to improve substantially the efficiency of existing services or introduce new models in the respective domains, e.g., automotive services, bus transportation, maritime surveillance and others. In this paper, we describe EVOLVE's testbed, and evaluate the performance of the integrated pilots from different domains.

引用

页码：975 / 980

页数：6

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