Author: lloret

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Quality software matters

This is true for any kind of software development effort, regardless of whether it is framed under a big collaboration project or consisting in a humble application created for a confined audience. Software quality assurance (SQA), manages the development lifecycle of a given software product with the ultimate, and apparently simplistic, aim to produce better […]

udocker: Docker for users with no privileges

udocker is a user tool to execute simple docker containers in user space, no root privileges required. Containers and specifically Docker containers have become pervasive in the IT world, either for development of applications, services or platforms, the way to deploy production services, support CI/CD DevOps pipelines and the list continues. One of the main […]

DEEPaaS training facility available in EOSC

Many research areas are being transformed by the adoption of machine learning and deep learning techniques. Research e-Infrastructures should not neglect this new trend, and develop services that allow scientists to employ these techniques, effectively exploiting existing computing and storage resources. The DEEP-Hybrid-DataCloud (DEEP) is paving the path for this transformation, providing machine learning and […]

DEEP as a Service: Deep Learning for everybody

First part: Running a module locally for prediction Deep Learning is nowadays at the forefront of Artificial Intelligence, shaping tools that are being used to achieve very high levels of accuracy in many different research fields. Training a Deep Learning model is a very complex and computationally intensive task requiring the user to have a […]

D4.2 – First implementation of software platform for accessing accelerators and HPC

This deliverable describes the first implementation of the software platform for accessing accelerators and HPC. The list of components included in the software platform is based on the analysis provided by Deliverable D4.1. This document provides detailed descriptions of software components used in the platforms, the work done on each component and its current status. Evaluation of achieved […]

D5.2 – High Level Hybrid Cloud solutions prototype

This document complements deliverable D5.1 Definition of the Architecture of the Hybrid Cloud (D5.1) with the specific prototype developments carried out to support the deployment of hybrid infrastructures across multiple IaaS Cloud sites. The document describes the technical challenges, the evolution of the components to support this prototype and a roadmap of implementation towards the final release of the […]

D6.3 – First prototype of the DEEP as a Service

This document provides an updated description of the prototype implementation of the DEEP as a Service solution that is being developed within the DEEP-Hybrid-DataCloud project Work Package 6 (WP6). As such it provides an overview of the state of the art of the relevant components and technologies, as well as a technology readiness level assessment […]

D3.2 – Pilot testbed and integration architecgture with EOSC large scale infrastructures

The deliverable contains the plan, design, architecture and deployment of the Pilot Preview testbed based on technical requirements and descriptions from the WP2 use cases. The services and components developed during the DEEP-HybridDataCloud by the teams part of the WP4, 5 and 6 are deployed, tested and validated by end-users in this testbed. It also describes how the […]

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435.

Unless otherwise indicated, all materials created by the DEEP-Hybrid-DataCloud consortium are licensed under a Creative Commons Attribution 4.0 International License.

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