The page lists 14 deliverables related to the research project "DEEP-HybridDataCloud".
title and desprition | type | last update |
---|---|---|
Design for the DEEP as a Service solutionDesign document and work plan for the DEEP as a Service solution Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Initial plan for Use CasesInitial Plan on the selection of use cases and the strategy for the devops pipelines. Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Definition of the Architecture of the Hybrid CloudDefinition of the architecture of the High Level Hybrid Cloud Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Status of Software releasesStatus of Software releases Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Data Management considerations and initial planThis deliverable will analyze the implications of existing Data Management Plans for the different datasets in the Case Studies, and how the derived data should be considered in the corresponding data life cycle. Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Open Research Data Pilot | 2020-03-24 |
Communication Measures: Plan and Implementation Status.Communication Measures: Plan and Implementation Status. Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
First Software PlatformFirst implementation of software platform for accessing accelerators and HPC Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Updated reports from global DEEP meetings.Updated reports from global DEEP meetings. Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Pilot testbedPilot testbed and integration architecture with EOSC large scale infrastructures Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
State-of-the-art on Machine Learning frameworksState-of-the-art Deep Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries. Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Available Technologies for accelerators and HPCAssessment of available technologies for supporting accelerators and HPC, initial design and implementation plan (all tasks) Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
First prototype of the DEEP as a ServiceFirst prototype implementation of the DEEP as a Service solution Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
Dissemination and Exploitation Plan.Dissemination and Exploitation Plan. Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |
High Level Hybrid Cloud solutions prototypeHigh Level Hybrid Cloud solutions prototype completed Programme: H2020-EU.1.4.1.3. - Topic(s): EINFRA-21-2017 |
Documents, reports | 2020-03-24 |