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Improving Performances of an Embedded Relational Database Management System with a Hybrid CPU/GPU Processing Engine
2017,
- HE en Hainaut
- Autre
,
- Article scientifique
Article scientifique
End-user systems are increasingly impacted by the exponential growth of data volumes and their processing. Moreover, post-processing operations, essentially dedicated to ergonomic features, require more and more resources. Improving overall performances of embedded relational database management systems (RDBMS) can contribute to deliver better responsiveness of end-user systems while increasing the ...
Cross-biome comparison of microbial association networks
2015,
- Autre
,
- Article scientifique
Article scientifique
Clinical and environmental meta-omics studies are accumulating an ever-growing amount of microbial abundance data over a wide range of ecosystems. With a sufficiently large sample number, these microbial communities can be explored by constructing and analyzing co-occurrence networks, which detect taxon associations from abundance data and can give insights into community structure. Here, we investigate ...
Efficiency of GPUs for Relational Database Engine Processing
2016,
- HE en Hainaut
- Autre
,
- Article scientifique
Article scientifique
Relational database management systems (RDBMS) are still widely required by numerous business applications. Boosting performances without compromising functionalities represents a big challenge. To achieve this goal, we propose to boost an existing RDBMS by making it able to use hardware architectures with high memory bandwidth like GPUs. In this paper we present a solution named CuDB. We compare ...
Evolution of common-pool resources and social welfare in structured populations
2013,
- Autre
,
- Acte de conférence ou de colloque
Acte de conférence ou de colloque
The Common-pool resource (CPR) game is a social dilemma where agents have to decide how to
consume a shared CPR. Either they each take their
cut, completely destroying the CPR, or they restrain
themselves, gaining less immediate profit but sustaining the resource and future profit. When no
consumption takes place the CPR simply grows to
its carrying capacity. As such, this dilemma provides a ...
Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis
2021,
- HE en Hainaut
,
- Article scientifique
Article scientifique
Deep learning presents an efficient set of methods that allow learning from massive volumes of data using complex deep neural networks. To facilitate the design and implementation of algorithms, deep learning frameworks provide a high-level programming interface. Based on these frameworks, new models, and applications are able to make better and better predictions. One type of deep learning application ...
Comparaison des frameworks d’apprentissage profond
2021,
- HE en Hainaut
,
- Article scientifique
Article scientifique
L’apprentissage automatique est un ensemble de méthodes issues de l’intelligence artificielle qui visent
à apprendre à l’aide de données. Au sein de ces méthodes, l’apprentissage profond se concentre sur des
réseaux de neurones qui sont des modèles mathématiques dont l’objectif est de s’inspirer du
fonctionnement du cerveau à l’aide de neurones artificiels. Ceux-ci sont très performants lorsqu’il ...
Analyse de malwares et classification à l’aide de réseaux de neurones convolutionnels 1D
2021,
- HE en Hainaut
,
- Article scientifique
Article scientifique
Les logiciels malveillants peuvent avoir des impacts particulièrement négatifs sur notre société, d’autant
plus que celle-ci a de plus en plus recours à des systèmes informatiques. En vue de garantir la sécurité
de ces systèmes, la détection et la prévention de ces logiciels malveillants sont nécessaires. Dans cette
optique, l’objectif de ce travail est de procéder à une classification entre des ...