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 regards to the required functionality, the required interactions with other work packages in the project, as well as the detailed work plan and risk assessment for each of the activities.

 

http://digital.csic.es/handle/10261/164314

 

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 plan will be proposed containing information on what features should be developed and what components should be improved in the next period of the project.

 

http://digital.csic.es/handle/10261/164313

 

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 and Computational Intensive issues. Based on the inputs provided by the WP2 partners, an initial list of requirements for each application has been collected, that has been used in turn to assemble a list of common requirements that has been provided as input to the discussion with the technical work packages of the DEEP-HybridDataCloud project.

 

http://digital.csic.es/handle/10261/164311

 

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 data security and ethical aspects.

 

http://digital.csic.es/handle/10261/164310

 

New challenges in Data Science: Big Data and Deep Learning on Data Clouds in Santander (Spain) on 18-22 June 2018

The DEEP Hybrid DataCloud consortium is proud to announce the upcoming seminar which will be directed by Dr. Jesús Marco de Lucas and assisted by Dr. Álvaro López, both Project Coordinators of the DEEP Hybrid DataCloud project.

This seminar will be hosted by UIMP within its Summer Advanced Courses Program and organized in collaboration with IFCA, CSIC and DEEP Hybrid DataCloud, and it is targeted at specialists and students at the different academic levels (master, graduate students, PhD candidates, postdoctoral students and senior scientists) interested in current research trends regarding compute intensive data analytics techniques over massive amounts of data, making special emphasis on Deep Learning, over High Performance Computing (HPC) and hybrid Cloud Platforms.

In addition to the seminar official agenda, DEEP-Hybrid-DataCloud and XDC Extreme DataCloud projects will carry out several parallel work sessions related to projects ongoing tasks.

More information about the seminar can be found here and the detailed agenda for both events (summer course and project meetings) here.

Sponsored by: Advanced Computing and e-Science group; IFCA (CSIC-UC), Deep-Hybrid-DataCloud project (CSIC, Atos)
Course code: 63zh – Face C–1 ECTS
June 18th to 22nd 2018