ExaNoDe will investigate, develop integrate and validate the building blocks (technology readiness level 5) for a highly efficient, highly integrated, multi-way, high-performance, heterogeneous compute element aimed towards exascale computing. It will build on multiple European initiatives for scalable computing, utilizing low- power processors and advanced nanotechnologies. ExaNoDe will draw heavily on the Unimem memory and system design paradigm defined within the EUROSERVER FP7 project, providing low-latency, high-bandwidth and resilient memory access, scalable to Exabyte levels. The ExaNoDe compute element aims towards exascale compute goals through: • Integration of the most advanced low-power processors and accelerators (across scalar, SIMD, GPGPU and FPGA processing elements) supported by research and innovation in the deployment of associated nanotechnologies and in the mechanical requirements to enable the development of a high-density, high-performance integrated compute element with advanced thermal characteristics and connectivity to the next generation of system interconnect and storage; • Undertaking essential research to ensure the ExaNoDe compute element provides necessary support of HPC applications including I/O and storage virtualization techniques, operating system and semantically aware runtime capabilities and PGAS, OpenMP and MPI paradigms; • The development of a hardware emulation of interconnect to enable the evaluation of Unimem for the deployment of multiple compute elements and to leverage the potential of the ExaNoDe approach for HPC applications. Each aspect of ExaNoDe is aligned with the goals of the ETP4HPC. The work will be steered by first-hand experience and analysis of high-performance applications and their requirements; investigations being carried out with “mini-application” abstractions and the tuning of their kernels.

HiPEAC is a coordination and support action (CSA) that aims to structure and connect the European academic and industrial research and innovation communities in computing systems (i) by increasing the industrial membership, (ii) by integrating the European innovation community, (iii) by organising activities to connect the research and innovation communities, (iv) by stimulating collaborations, (v) by producing a vision document on the future of computing systems in Europe, and (vi) by professionally disseminating the research outcomes in and beyond the European computing systems community. The HiPEAC CSA is meant to be the continuation of four successful networks with the same name (HiPEAC1-4). HiPEAC will leverage the existing community, the expertise and the set of instruments that were developed since 2004 and work on the following objectives: structuring and connecting the European computing systems community, cross-sectorial industrial platform-building, constituency building and consultations, clustering of related research and innovation projects, and road-mapping for future research and innovation agendas. The overall approach of the HiPEAC CSA is that it wants to bring together all actors and stakeholders in the computing systems community in Europe – especially EU-funded projects, SMEs and the innovation community – in one well-managed structure where they can interact, disseminate/share information, transfer knowledge/technology, exchange human resources, think about future challenges, experiment with ideas to strengthen the community, etc. The HiPEAC CSA will support its members and projects with tasks that are too difficult/complex to carry out individually: vision building, professional communications, recruitment, event management at the European level. By offering such services, a burden is taken away from the projects and members. They can then focus on the content, and the impact of their efforts is amplified.

Multiscale phenomena are ubiquitous and they are the key to understanding the complexity of our world. Despite the significant progress achieved through computer simulations over the last decades, we are still limited in our capability to accurately and reliably simulate hierarchies of interacting multiscale physical processes that span a wide range of time and length scales, thus quickly reaching the limits of contemporary high performance computing at the tera- and petascale. Exascale supercomputers promise to lift this limitation, and in this project we will develop multiscale computing algorithms capable of producing high-fidelity scientific results and scalable to exascale computing systems. Our main objective is to develop generic and reusable High Performance Multiscale Computing algorithms that will address the exascale challenges posed by heterogeneous architectures and will enable us to run multiscale applications with extreme data requirements while achieving scalability, robustness, resiliency, and energy efficiency. Our approach is based on generic multiscale computing patterns that allow us to implement customized algorithms to optimise load balancing, data handling, fault tolerance and energy consumption under generic exascale application scenarios. We will realise an experimental execution environment on our pan-European facility, which will be used to measure performance characteristics and develop models that can provide reliable performance predictions for emerging and future exascale architectures. The viability of our approach will be demonstrated by implementing nine grand challenge applications which are exascale-ready and pave the road to unprecedented scientific discoveries. Our ambition is to establish new standards for multiscale computing at exascale, and provision a robust and reliable software technology stack that empowers multiscale modellers to transform computer simulations into predictive science.