Data Management and Analysis On High Performance
2 mesi fa
The research fellow will be responsible for developing and verifying high-performance computing codes on the CPU / GPU hybrid platform. In particular, we will explore methods for the efficient use of the aforementioned platform, which combine techniques suitable for each calculation model, such as MPI for distributed processing, multithreaded techniques for shared memory and intensive matrix computing methods typical of CUDA architectures. Benchmarck and software optimization for innovative management and statistical analysis solutions of big data of different nature for use in machine learning systems (with particular reference to modern deep learning techniques and statistical analysis fordiagnostic purposes in the biomedical field)
More Information
Employment contract with full social security:
no Total amount per fellowship per year:
19.367 Currency:
Euro Covers salary:
yes Covers travel and subsistence:
no Covers research costs:
no Covers other costs:
inps costs due by cnr Maximum duration of fellowship:
12 Eligible destination country/ies for fellows:
Italy Eligibility of fellows:
country/ies of residence:
EUROPE Eligibility of fellows:
nationality/ies:
EUROPE the commission proceids by evaluating the selection of title and an interview in italian
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