Paper Info
Title
EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds
Abstract
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.
Year
DOI
Venue
2022
10.23919/DATE54114.2022.9774698
PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022)
Keywords
DocType
ISSN
HPC, Cloud-computing, Big-Data, computing platform, accelerators, interference, resource orchestration
Conference
1530-1591
Citations 
PageRank 
References 
0
0.34
0
Authors
21
Name
Order
Citations
PageRank
Achilleas Tzenetopoulos122.07
Dimosthenis Masouros200.34
Konstantina Koliogeorgi312.06
Sotirios Xydis400.34
Dimitrios Soudris500.34
Antony Chazapis600.34
Christos Kozyrakis75817355.99
Angelos Bilas800.34
Christian Pinto902.03
Huy-Nam Nguyen1000.34
Stelios Louloudakis1100.34
Georgios Gardikis1200.34
George Vamvakas1300.34
Michelle Aubrun1400.34
Christy Symeonidou1500.34
Vassilis Spitadakis1600.34
Konstantinos Xylogiannopoulos1700.34
Bernhard Peischl1800.34
Tahir Emre Kalayci1900.34
Alexander Stocker2012229.34
Jean-Thomas Acquaviva2100.68