A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10255517" target="_blank" >RIV/61989100:27740/24:10255517 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/DATE58400.2024.10546518" target="_blank" >http://dx.doi.org/10.23919/DATE58400.2024.10546518</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/DATE58400.2024.10546518" target="_blank" >10.23919/DATE58400.2024.10546518</a>

Result language
angličtina
Original language name
A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
Original language description
Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately support decision-making. These energy-hungry workflows are increasingly executed in data centers with energy-efficient hard-ware accelerators since FPG As are well-suited for this task due to their inherent parallelism. We present the H2020 project EVEREST, which has developed a system development kit (SDK) to simplify the creation of FPGA-accelerated kernels and manage the execution at runtime through a virtualization environment. This paper describes the main components of the EVEREST SDK and the benefits that can be achieved in our use cases.
Czech name
—
Czech description
—

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings : 25 - 27 March 2024, Valencia, Spain
ISBN
979-8-3503-4859-0
ISSN
1530-1591
e-ISSN
1558-1101
Number of pages
6
Pages from-to
—
Publisher name
IEEE
Place of publication
Piscataway
Event location
Valencie
Event date
Mar 25, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001253778900019

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