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High Performance Computing Laboratory

Research on algorithms and information systems dealing with computational and data-intensive problems in business, social, and knowledge-based applications. HPC Lab research areas include large-scale distributed and cloud systems, efficient information indexing and retrieval, big data analytics, machine learning and artificial intelligence, mobility analysis, information extraction and semantic enrichment.

Research

Methods for efficient and effective management, query, retrieval and analysis of large amount of data, design, implementation and deployment of (distributed) algorithms or information systems that provide in near real-time effective answers to complex queries by using a limited amount of computational resources.
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Projects

HPC Lab is involved as technical partner in several EC and national research and innovations projects. Our key role is developing advanced solutions to deal efficiently and effectively with the exponential growth of data, information, knowledge, users and services that need to be efficiently stored, managed, analyzed and retrieved.
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Products
Design and development of industry-level solutions exploiting our research results. Our solution for fast prediction based on forests of decision trees is the state of the art in the field. Our partitioned Elias-Fano inverted index is used by many companies including Facebook. Our LSTM-based solution for anomaly prediction is used by CRF of the FCA group.
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HPC in numbers

Years of experience
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EU Funded Projects
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Publications
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Awards winning
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Advanced solutions in Big Data Analytics, Artificial Intelligence, Cloud Computing, Information Retrieval, Mobility

Contacts