Action Aim – Primary Objective
| ID |
The Action MoU Aim |
PO |
The main objective of the Action is to structure and co-ordinate research activity on HPC-enabled Modelling and Simulation for Big Data problems across Europe. |
Action (Secondary) Objectives
ID |
MoU Action Secondary Objectives |
| SO1 | To build an effective, durable and active working community of European researchers in the area, with a span of about 60 research institutions and companies, more than 15 COST Countries |
| SO2 | Constantly strive to expand the Action’s activities to other participants, increasing both the number of research institutions and companies, and that of COST Countries |
| SO3 | To foster the formation of new multi-disciplinary expertise of competent researchers exploiting HPC-enabled MS, and contribute, in particular, to the formation of the new generations of such researchers |
| SO4 | To disseminate obtained research results, identify best practices, and develop prototypes and supporting tools |
| SO5 | Strengthen the collaboration with European companies in order to establish efficient technological transfer of the latest HPC-enabled MS techniques, methods, and tools, encouraging their industrial adoption |
| SO6 | To establish the Action itself as a reference point of competence that can provide advisory support to industries and can offer informed expertise to policy makers in the strategic field of HPC-enabled MS |
Action Goals
GP1
| ID | Grant Agreement Period Goal | MoU Objective(s) it relates to |
| GAPG 1-1 | Constructively aggregate the participants’ regionally and technically dispersed expertise and contacts to foster HPC routine. | PO, SO1, SO2 |
| GAPG 1-2 | Formal description of the state-of-the-art implementations and concepts supporting modelling and simulation models for Big Data. | PO, SO1, SO3, SO5, SO6 |
GP2
| ID | Grant Agreement Period Goal | MoU Objective(s) it relates to |
| GAPG 2-1 | IT-based map the expertise of the Action members to foster HPC and MS routines– expertise database | PO, SO1, SO2, SO5 |
| GAPG 2-2 | Specify testbeds and technological requirements and enhancements for HPC-based models, simulators and practical applications in Big Data. | PO, SO3, SO4, SO6 |
| GAPG 2-3 | Increase awareness on the COST Action, actively reaching out to academics, practitioners, and public in general via scientific articles, position papers, press releases, and keynote talks. | PO, SO2, SO4, SO5 |
| GAPG 2-4 | Improvement of the knowledge transfer with industrial partners invited to the Action | PO, SO2, SO5 |
GP3
| ID | Grant Agreement Period Goal | MoU Objective(s) it relates to |
| GAPG 3-1 | Provide a world-class European MS & HPC expertise exchange, where best practices are developed for the benefit of a broad range of academic and industry stakeholders. | PO, SO2, SO4, SO6 |
| GAPG 3-2 | Compile and release a consistent set of case studies on HPC & MS, which can be used as reference source by researchers and practitioners. | PO, SO3, SO6 |
| GAPG 3-3 | Reach out to industry by contacting industrial research facilities and competence centers, providing expertise and services on HPC and MS applications and software development. | PO, SO3, SO4, SO5 |
| GAPG 3-4 | Establish a pan-European dissemination network to reach out to all stakeholders (academia, industry, government and the general public) and increase efficiency through the strategic use of joint forums for dissemination. | PO, SO4, SO5, SO6 |
GP4
| ID | Grant Agreement Period Goal | MoU Objective(s) it relates to |
| GAPG 4-1 | Create an integrated Expertise Map of the cHiPSet Action members by systematically combining all developed expertise databases, search engines and Web services. |
PO, SO1, SO3 |
| GAPG 4-2 | Continue industrial outreach endeavours and potential path-to-market exploration of the Action developments.. |
PO, SO2, SO5 |
| GAPG 4-3 | IRelease the final set of dissemination publications and map all Action publications into the cHiPSet collection. This collection will serve as a reference point for practitioners and academics. It shall include an index map to allow the seamless navigation. |
PO,SO4, SO5 |
| GAPG 4-4 | Produce a CHIPSET manifesto (alas Berkeley dwarves report) based on the cases of studies which correlates data-intensive HPC techniques with the corresponding modelling and simulation cases. |
PO, SO6 |