Leistungen
This report displays the architecture design developped during the project
Definition of CAE Workflow and AI WorkflowThe document presents the AI and one HPC example workflow integrated in the platform along with the process needed to integrate new workflows
Interim communication planThis document presents the evolutions of the Communication plan at midproject
Best practice libraryThis report presents the best practice library developped during the project infrastructure services integration best practice library for data management data management engine DME best practice library for system security security policy access log repository auditsystem
Communication planThis report presents the Communication plan and strategies for the project
Sustainability & Business model reportThis report presents the sustainability and Business model of the project and its solution
Dissemination reportThis report diplays the dissemination actions done during the project
This deliverable is the final prototype of the AI and HPC as a service platform deployment
Workflow ContainersThe document shares the work done on all the applications needed to execute the two containerized workflows
Updated Energy Aware RuntimeThis deliverable presents the updated Energy Aware Runtime EAR program
Deployment tools, templates and scriptsThis document displays the deployment tools templates and scripts developped
Cost serviceThis deliverable presents the cost service of the HEROES solution
Initial platform mock-upThis document shares the work done to develop a mockup of the platform that will be implemented by the project
Workflow InterfacesThe deliverable displays that all the necessary tools are integrated in HEROES to begin to edit and execute the two workflows
The HEROES website is established and correctly running
This deliverable presents the works done to desig and develop the decision module that will be integrated within HEROES The module will help users in the selection of the computing platform of choice HPC centre or public cloud service depending on multiple scenarios and constraints eg most energy efficient platform best perfprice ratio best perf best price and submit their jobs more easily ie select the best set of job submission parameters with as little user interaction as possible number of coresnodes maximum runtime amount of RAM
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