
handle: 11588/927887 , 2434/1062830 , 11365/1152410 , 11386/4835654 , 11573/1575152 , 11367/109638 , 11567/1057888 , 11568/1116884 , 11311/1170026 , 11585/876386 , 2158/1256934 , 2318/1783118
handle: 11588/927887 , 2434/1062830 , 11365/1152410 , 11386/4835654 , 11573/1575152 , 11367/109638 , 11567/1057888 , 11568/1116884 , 11311/1170026 , 11585/876386 , 2158/1256934 , 2318/1783118
High-Performance Computing (HPC) is one of the strategic priorities for research and innovation worldwide due to its relevance for industrial and scientific applications. We envision HPC as composed of three pillars: infrastructures, applications, and key technologies and tools. While infrastructures are by construction centralized in large-scale HPC centers, and applications are generally within the purview of domain-specific organizations, key technologies fall in an intermediate case where coordination is needed, but design and development are often decentralized. A large group of Italian researchers has started a dedicated laboratory within the National Interuniversity Consortium for Informatics (CINI) to address this challenge. The laboratory, albeit young, has managed to succeed in its first attempts to propose a coordinated approach to HPC research within the EuroHPC Joint Undertaking, participating in the calls 2019--20 to five successful proposals for an aggregate total cost of 95M€. In this paper, we outline the working group's scope and goals and provide an overview of the five funded projects, which become fully operational in March 2021, and cover a selection of key technologies provided by the working group partners, highlighting their usage development within the projects.
high-performance computing; parallel programming; computer programming, high-performance computing; parallel programming, parallel programming, high-performance computing, high Performance Computing, Exascale computing, European Projects, Thermal and power management, run-time management
high-performance computing; parallel programming; computer programming, high-performance computing; parallel programming, parallel programming, high-performance computing, high Performance Computing, Exascale computing, European Projects, Thermal and power management, run-time management
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
