Vehicle

Use case: Vehicle IoT

The Vehicle IoT use case builds on ADTP’s KnowGo Car data management and services platform for connected vehicles.

Use case: Vehicle IoT slide

Use case: Vehicle IoT

The Vehicle IoT use case builds on ADTP’s KnowGo Car data management and services platform for connected vehicles.

Use case: Vehice IOT

ReachOut
The Beta Testing Campaign Platform for Research Projects

Interview with ReachOut

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Nicolas Ferry is an Associate Professor at University Côte d'Azur. Prior he was a Senior Research Scientist at SINTEF. He holds a Ph.D. degree from the University of Nice.

SODALITE Advisor- Nicolas Ferry Interview

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Read this post and learn how in SODALITE we assists users in the creation of complex application deployment models.

Smart IDE - Assisting users in the creation of complex application deployment models

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Product

security
With the growing importance of DevOps roles in technological companies, bringing closer together development teams and operation teams, deployments are more frequent. As a result, possible security holes appear more often.

SODALITE: Solid as a Rock

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SODALITE is sharing in this article its approach to Towards Automated Optimization of HPC Application Deployment.

HPC WIRE: Towards Automated Optimization of HPC Application Deployment

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This is the second version of our white paper, here we detail more the advances achieved so far by our technical team and give some priority to our Use Cases where the toolset of SODALITE is tested.

White paper 2: Extremely optimizing software applications on Cloud and HPC solutions

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Get the insight of HiPEAC now!

HiPEAC Info 62

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This year 2021, the first event of Hipeac will be virtual. We are grateful to be part of this big opportunity to connect with other projects, cluster and companies with a focus on heterogeneous applications, to shape the future of complex technologies which are crucial to continue generating huge amounts of quality data.

HIPEAC 2021

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In recent years, an increasing interest in evidence-based computer-aided approaches to address global challenges (GC) including climate modeling and prediction of migration flows arose.

HPC-as-a-Service for Global Challenges

Artificial Intelligence (AI) applications based on Deep Neural Networks (DNN) or Deep Learning (DL) have become popular due to their success in solving problems likeimage analysis and speech recognition.

Optimising AI Training Deployments using Graph Compilers and Containers

Deep Leaning and code embedding based approach to linguistic detecting anti-patterns in Infrastructure as code. This is from SODALITE smell and defect prediction task.

DeepIaC: Deep Learning-based Linguistic Anti-Pattern Detection for Infrastructure-as-Code

Deep Leaning and code embedding based approach to linguistic detecting anti-patterns in Infrastructure as code. This is from SODALITE smell and defect prediction task.

DeepIaC: Deep Learning-based Linguistic Anti-Pattern Detection for Infrastructure-as-Code

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This 2020 is the year to celebrate the HCLOUD Summit- where experts and stakeholders across Europe can join the different sessions and deliver cloud computing oriented talks.

HCLOUD SUMMIT 2020

This document provides a wide view of the extent of communication and dissemination strategy of SODALITE, during 36 months of the project duration.

D7.1 Web presence, branding and communication guidelines

The SODALITE architecture is divided into 3 main layers: Modelling layer, Infrastructure as Code layer, and Runtime layer. This document summarizes the available stable components in each of these layers, and points to instructions on how these components can be accessed and built.

D6.5 SODALITE framework - First version

This deliverable reports on the development status after M12 of the SODALITE Runtime Layer and the integration of its components with the rest of the SODALITE platform.

D5.1 application deployment and dynamic runtime Initial version