National Research Council (CNR)

National Research Council (CNR) is the largest public research institution in Italy. Its scientific structure includes 88 Institutes splitted in 7 scientific Departments with leading expertise in all science sectors.

Institute for Applied Computing “Mauro Picone” (IAC) is one of the more ancient institutes of the National Research Council of Italy (CNR). Currently, it has headquarters in Rome and 3 branches in Bari, Firenze and Napoli. The permanent staff has a total of 67 employers, including 50 researchers and technologists and 17 technicians and administrative officers. Many collaborators and students from Universities and young research fellows are involved in the research activities. Specific mission of the Institute is to develop highly advanced mathematical, statistical and computational methods in order to solve, in a mostly interdisciplinary context, problems with strong relevance to society and industry. IAC is involved in many national and international projects also funded by EC and it is the coordinator of the Italian project “Mathematical desk for Industry”: a bridge between industry needs and mathematical competences. It is also partner of EUMATHS-IN the European Service Network of Mathematics for Industry and Innovation.
The research group involved in this project develops algorithms and software tools for High-Performance Scientific Computing. Main recent activities include the design and development of parallel algorithms and software for sparse linear algebra with applications to fluid dynamics and image analysis, for analysis of large-scale graphs, for crypto analysis, for signal processing, for simulation of soft-matter phenomena. In the last years the above research unit, also within the context of an EU funded Center of Excellence for Computing Applications (EoCoE), developed some software packages (e.g., BootCMatchG, PSCToolkit), for parallel sparse linear algebra computations on heterogeneous HPC architectures embedding GPU accelerators.

CNR-IAC contributes to TEXTAROSSA to empower the proposed HPC framework with efficient kernels of a general-purpose mathematical library to be integrated into the Textarossa toolchain for scientific applications (WP6). A co-design approach for possible re-design and fine tuning of the algorithms, and for driving the development of basic hardware/software tools will be applied (WP1).

Key personnel
• Dr. Massimo Bernaschi, technologist director, participate in WP1/WP6
• Dr. Pasqua D’Ambra, senior scientist and PI for CNR-IAC, task 6.4 leader

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