Deliverables

D6.1 – State-of-the-art DEEP Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries

This document provides an overview of the state-of-the-art in Deep Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries to be used as building blocks in the DEEP Open Catalogue. The initial state of the catalogue will be built based on the outcome of this document and the initial user community requirements … Continue reading D6.1 – State-of-the-art DEEP Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries

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

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 … Continue reading D5.2 – High Level Hybrid Cloud solutions prototype

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

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

D6.2 – Design for the DEEP as a Service solution

This document provides a description of the design, architecture and work plan the DEEPHybridDataCloud Work Package 6 (WP6) in order to provide the DEEP as a Service solution. 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 with … Continue reading D6.2 – Design for the DEEP as a Service solution

D5.1 – Definition of the Architecture of the Hybrid Cloud

This document describes the design of the PaaS Layer and the detailed work plan for the WP5 of the DEEP-HybridDataCloud project, which aims at adopting and extending the PaaS orchestration solution for cloud infrastructures realised within the INDIGO-DataCloud project. In particular, the main focus is on the architecture and features of the hybrid cloud solution. … Continue reading D5.1 – Definition of the Architecture of the Hybrid Cloud

D4.1 – Assessment of available technologies for supporting accelerators and HPC, initial design and implementation plan

This document describes the state of the art of technologies for supporting bare-metal, accelerators and HPC in cloud and proposes an initial implementation plan. Available technologies will be analyzed from different points of views: stand-alone use, integration with cloud middleware, support for accelerators and HPC platforms. Based on results of these analyses, an initial implementation … Continue reading D4.1 – Assessment of available technologies for supporting accelerators and HPC, initial design and implementation plan

D2.1 – Initial Plan for Use Cases

This report summarises the work of WP2 on the initial plan on the selection of Use Cases, providing a key input to the design of the DEEP-HybridDataCloud testbed and laying out the DEEP-HybridDataCloud solutions will be used. This document includes a description of the Research Communities involved and of the use-cases proposed, including Data Management … Continue reading D2.1 – Initial Plan for Use Cases

D1.11 – Data Management considerations and initial plan

This report summarises the work of WP1 on the Data Management considerations and initial plan for the DEEP-HybridDataCloud project. This document describes the types of data that will be generated or collected during the project, the standards that will be used and the ways in which the data may be exploited and shared including the … Continue reading D1.11 – Data Management considerations and initial plan