• CuDB: a Relational Database Engine Boosted by Graphics Processing UnitsPeer reviewedClosed access 

      2016, CREMER, Samuel; Bagein, Michel; Mahmoudi, Saïd; Manneback, Pierre, HE en HainautAutre
      Acte de conférence ou de colloque
      GPUs benefit from much more computation power with the same order of energy consumption than CPUs. Thanks to their massive data parallel architecture, GPUs can outperform CPUs, especially on Single Program Multiple Data (SPMD) programming paradigm on a large amount of data. Database engines are now everywhere, from different sizes and complexities, for multiple usages, embedded or distributed; ...
    • Deep Learning Frameworks: Performances AnalysisClosed access 

      2021, LERAT, Jean-Sébastien; Mahmoudi, Ahmed Sidi; Mahmoudi, Saïd, HE en Hainaut
      Acte de conférence ou de colloque
      The fourth industrial revolution use modern technologies that produce a continues flow of data. This large amount of data cannot be analyzed with traditional technologies to detect and diagnose problem without the need of a human. Deep learning consists of a set of methods based on neural networks that can process and extract information from a such amount of data. Deep learning frameworks provide ...
    • Distributed Deep Learning: From Single-Node to Multi-Node ArchitecturePeer reviewedClosed access 

      2022, LERAT, Jean-Sébastien; Mahmoudi, Sidi Ahmed; Mahmoudi, Saïd, HE en Hainaut
      Article scientifique
      During the last years, deep learning (DL) models have been used in several applications with large datasets and complex models. These applications require methods to train models faster, such as distributed deep learning (DDL). This paper proposes an empirical approach aiming to measure the speedup of DDL achieved by using different parallelism strategies on the nodes. Local parallelism is considered ...
    • Dynamisation de fresques murales urbainesOpen access 

      2022, FASOL, Jérôme, HE en Hainaut
      TFE
      TFE Techniques Graphiques
    • Efficiency of GPUs for Relational Database Engine ProcessingPeer reviewedClosed access 

      2016, CREMER, Samuel; Bagein, Michel; Mahmoudi, Saïd; Manneback, Pierre, HE en HainautAutre
      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 ...
    • Energy Efficiency for Ultrascale Systems: Challenges andTrends from Nesus ProjectPeer reviewedOpen access 

      2015, Bagein, Michel; Barbosa, Jorge; Blanco, Vicente; Brandic, Ivona; CREMER, Samuel; Frémal, Sébastien; Karatza, Helen D.; Lefevre, Laurent; Mastelic, Toni; Oleksiak, Ariel; Orgerie, Anne-Cécile; Stavrinides, Georgios L.; Varrette, Sébastien, HE en HainautAutre
      Livre/Ouvrage ou monographie
      Energy consumption is one of the main limiting factors for designing and deploying ultrascalesystems. Therefore, this paper presents challenges and trends associated with energy efficiency forultrascale systems based on current activities of the working group on ”Energy Efficiency” inthe European COST Action Nesus IC1305. The analysis contains major areas that are related tostudies of ...
    • Evolution of common-pool resources and social welfare in structured populationsPeer reviewedClosed access 

      2013, LERAT, Jean-Sébastien, Autre
      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 ...
    • Improving Performances of an Embedded Relational Database Management System with a Hybrid CPU/GPU Processing EnginePeer reviewedClosed access 

      2017, CREMER, Samuel; Bagein, Michel; Mahmoudi, Saïd; Manneback, Pierre, HE en HainautAutre
      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 ...
    • Intracellular Pathways of Holothuroid Oocyte Maturation Induced by the Thioredoxin Trx-REESPeer reviewedOpen access 

      2021, Delroisse, Jérome; LEONET, Aline; Henri, Alexandre; Eeckhaut, Igor, HE en Hainaut
      Article scientifique
      Abstract: In holothuroids, oocyte maturation is stopped in ovaries at the prophase I stage of meiosis. In natural conditions, the blockage is removed during the spawning by an unknown mechanism. When oocytes are isolated by dissection, the meiotic release can be successfully induced by a natural inducer, the REES (i.e., Rough Extract of Echinoid Spawn) that is used in aquaculture to obtain ...
    • KIT' À TOUT PLANTER - Le kit potager à destination des citadinsOpen access 

      2020, URBAIN, Eléa, HE en Hainaut
      TFE
      TFE Techniques Graphiques
    • L'interprétation du patrimoine colonial belge dans l'espace public. Questionner la "décolonisation" par le regard de l'historien.Peer reviewedOpen access 

      2021, BORGIES, Loïc, HE en Hainaut
      Acte de conférence ou de colloque
      Contribution aux Actes de colloque de la 6e Journée des Chercheurs en Haute école consacrée aux questions soulevées par l'interprétation du patrimoine colonial belge occupant l'espace public.
    • Le conflit propagandiste entre Octavien et Marc Antoine. De l'usage politique de la uituperatio entre 44 et 30 a.C.n.Peer reviewedOpen access 

      2016, BORGIES, Loïc, HE en Hainaut
      Livre/Ouvrage ou monographie
      Table des matières de la monographie
    • Les invectives cicéroniennes comme matrices des invectives de l'époque triumvirale. Le cas des Philippiques I et IIPeer reviewedOpen access 

      01 février 2024, BORGIES, Loïc, HE en Hainaut
      Article scientifique
      Article scientifique publié dans une revue spécialisée en sciences de l'Antiquité avec procédure de peer-review.
    • LES USAGES DU BRUIT EN INFOGRAPHIEOpen access 

      2021, Dejonckheere, Ludwig, HE en Hainaut
      TFE
      TFE Techniques Graphiques
    • NAO,un nouvel outil d'aide à la gestion de classeOpen access 

      mai 2021, Kumps, Audrey; Bordart, Céline; Termperman, Gaetan; De Lièvre, Bruno; DESMET, Erwin; MALAISE, Antoine, HE en Hainaut
      Article scientifique
      Plusieurs études ont montré que ces robots sont de potentiels outils éducatifs, en particulier auprès d’élèves ayant des difficultés d'apprentissage. Parmi les robots, il existe les robots humanoïdes qui peuvent induire une expérience différente de l'apprentissage, passant d'un objet à manipuler à émergence de situations sociales et d’interaction à valence psychoaffective.
    • Pierre Renucci, Marc Antoine. Un destin inachevé entre César et Cléopâtre.Open access 

      2016, BORGIES, Loïc, HE en Hainaut
      Autre
      Compte rendu critique de Pierre Renucci, Marc Antoine. Un destin inachevé entre César et Cléopâtre. Paris, Perrin, 2015.
    • RÉALISATION D'UN JEU DE SOCIÉTÉ COOPÉRATIF AVEC TABLETOP SIMULATOROpen access 

      2020, Meurisse, Clément, HE en Hainaut
      TFE
      TFE Techniques Graphiques
    • RÉALISATION D’UNE CHARTE GRAPHIQUE, D’UNE VIDÉO PROMOTIONNELLE ET DE CONTENUS POUR LES RÉSEAUX SOCIAUXOpen access 

      2022, BOUFFIOUX, Elliott, HE en Hainaut
      TFE
      TFE Techniques Graphiques
    • Single node deep learning frameworks: Comparative study and CPU/GPU performance analysisPeer reviewedClosed access 

      2021, LERAT, Jean-Sébastien; Mahmoudi, Sidi Ahmed; Mahmoudi, Saïd, HE en Hainaut
      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 ...