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Architecture to Distribute Deep Learning Models on Containers and Virtual Machines for Industry 4.0
30 décembre 2023,
- HE en Hainaut
,
- Acte de conférence ou de colloque
Acte de conférence ou de colloque
eep learning (DL) is increasingly used in industry, especially in industry 4.0. Thanks to DL, it possible to better prevent breakdowns and manufacturing defects. DL models are becoming more and more complex and efficient, requiring significant compute resources and compute time. The use of Graphic Processing Units (GPUs) makes it possible to speed up processing but at a higher cost. An alternative ...
Deep Learning Frameworks: Performances Analysis
2021,
- HE en Hainaut
,
- Acte de conférence ou de colloque
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 ...
Intracellular Pathways of Holothuroid Oocyte Maturation Induced by the Thioredoxin Trx-REES
2021,
- HE en Hainaut
,
- Article scientifique
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 ...
CuDB: a Relational Database Engine Boosted by Graphics Processing Units
2016,
- HE en Hainaut
- Autre
,
- Acte de conférence ou de colloque
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; ...
Energy Efficiency for Ultrascale Systems: Challenges andTrends from Nesus Project
2015,
- HE en Hainaut
- Autre
,
- Livre/Ouvrage ou monographie
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 ...
Distributed Deep Learning: From Single-Node to Multi-Node Architecture
2022,
- HE en Hainaut
,
- Article scientifique
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 ...
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 ...
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 ...
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 ...
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 ...