EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10248959" target="_blank" >RIV/61989100:27740/21:10248959 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9473940" target="_blank" >https://ieeexplore.ieee.org/document/9473940</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/DATE51398.2021.9473940" target="_blank" >10.23919/DATE51398.2021.9473940</a>

Result language
angličtina
Original language name
EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms
Original language description
High-Performance Big Data Analytics (HPDA) applications are characterized by huge volumes of distributed and heterogeneous data that require efficient computation for knowledge extraction and decision making. Designers are moving towards a tight integration of computing systems combining HPC, Cloud, and IoT solutions with artificial intelligence (AI). Matching the application and data requirements with the characteristics of the underlying hardware is a key element to improve the predictions thanks to high performance and better use of resources. We present EVEREST, a novel H2020 project started on October 1, 2020, that aims at developing a holistic environment for the co-design of HPDA applications on heterogeneous, distributed, and secure platforms. EVEREST focuses on programmability issues through a data-driven design approach, the use of hardware accelerated AI, and an efficient runtime monitoring with virtualization support. In the different stages, EVEREST combines state-of-the-art programming models, emerging communication standards, and novel domain-specific extensions. We describe the EVEREST approach and the use cases that drive our research.
Czech name
—
Czech description
—

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021) : 01-05 February 2021, Virtual Conference
ISBN
978-1-72816-336-9
ISSN
1530-1591
e-ISSN
1558-1101
Number of pages
6
Pages from-to
1320-1325
Publisher name
IEEE
Place of publication
Piscataway
Event location
Grenoble
Event date
Feb 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)