HPC Courses Catalogue

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Courses and schools offered each year by Cineca about supercomputing and related subjects.

Registration will open about three months before the course/school starts.

Courses

Data science with R Type: Ordinary Course Area: Languages, Techniques, Data Durata: 3 dd	DAVIDE OpenPower GPU cluster Type: Ordinary Course Area: Other Durata: 2 dd	Debugging and Optimization of Scientific Applications Type: Ordinary Course Area: Techniques Durata: 3dd
Energy Efficiency in HPC Type: Ordinary Course Area: Techniques, Other Durata: 2 dd	High Performance Bioinformatics Type: Ordinary Course Area: Languages, Science Durata: 3 dd	High Performance Molecular Dynamics Type: Ordinary Course Area: Science Durata: 3 dd
HPC for Industry 4.0 Type: Ordinary Course Area: Techniques, Other Durata: 3 dd	Introduction to Deep Learning and Tensorflow Type: Ordinary Course Area: Techniques, Data Durata: 3 dd	Introduction to Fortran for Scientific Computing Type: Ordinary Course Area: Languages Durata: 4 dd
Introduction to Parallel Computing with MPI and OpenMP Type: Ordinary Course Area: Techniques Durata: 3dd	Introduction to Python programming Type: Ordinary Course Area: Languages Durata: 3 dd	Introduction to Scientific and Technical Computing in C Type: Ordinary Course Area: Languages Durata: 3 dd
Introduction to Scientific and Technical Computing in C++ Type: Ordinary Course Area: Languages Durata: 3 dd	Material Science codes on innovative HPC architectures: targeting exascale Type: Ordinary Course Area: Science Durata: 3 dd	Parallel I/O and management of large scientific data Type: Ordinary Course Area: Data Durata: 3 dd
PRACE PCP DAVIDE OpenPower cluster: user experiences and scientific cases. Type: Ordinary Course Area: Other Durata: 1 d	Programming paradigms for GPU devices Type: Ordinary Course Area: Techniques Durata: 3dd	Python for Scientific Computing Type: Ordinary Course Area: Languages, Science Durata: 3 dd

Schools

Advanced School on Computer Graphics for Cultural Heritage Type: School Area: Techniques, Data Durata: 5 dd (1 week)	Advanced School on Parallel Computing Type: School Area: Techniques Durata: 5 dd (1 week)	School on Numerical Methods for Parallel CFD Type: School Area: Techniques, Science Durata: 5 dd (1 week)
School On Scientific Data Analytics and Deep Learning Type: School Area: Data Durata: 5 dd (1 week)	Summer School on Parallel Computing Type: School Area: Techniques Durata: 10dd (2weeks)

Any question?

For HPC and computer graphics courses, write to corsi.hpc@cineca.it

About CINECA

Cineca is a non profit Consortium, made up of 70 Italian universities, 5 Italian Research Institutions and the Italian Ministry of Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

Visit the Cineca website