| Grant number: | 18/00452-2 |
| Support Opportunities: | Regular Research Grants |
| Start date: | April 01, 2018 |
| End date: | July 31, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computer Systems |
| Principal Investigator: | Hermes Senger |
| Grantee: | Hermes Senger |
| Host Institution: | Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil |
| City of the host institution: | São Carlos |
| Associated researchers: | Lucas Venezian Povoa |
| Associated scholarship(s): | 19/07508-6 - Experimentation with high performance processing in scientific cloud environment,
BP.TT 19/04937-3 - Evaluation of Query Processing Algorithms for Selecting Most Relevant Documents on GPUs, BP.TT |
Abstract
Scientific high-performance computing has supported numerous advances in several areas ofhuman knowledge in the last two decades.During this period, most organizations including government bodies, research institutions and companies have intensified the production and analysis of large data volumes on an unprecedented way. The volume and variety of data have increasedmuch faster than the available capacity of computers in the same period. Such disparity between the demand for information processing and the computational capacity has pushed the advancesin scientific computing and high-performance computing. This proposal aims at improving thescientific high performance computing in four main research topics: (i) information retireval andquery processing using massive parallel computing; (ii) high performance novelty detecion andmalware analytics in data streams for cibersecirity; (iii) cloud computing for the scalable and efficient genome assembly and sequence alignment; (iv) scalability analysis of bag-of-tasks applications in heterogeneous computing platforms. (AU)
| Articles published in Agência FAPESP Newsletter about the research grant: |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
MÉTODO, SISTEMA E DISPOSITIVO COMPUTACIONAL PARA AGRUPAMENTO DE DADOS E REORDENAÇÃO DE OPERAÇÕES DE COMITÊS DE CLASSIFICADORES EM APLICAÇÕES DE APRENDIZAGEM DE MÁQUINA BR 10 2021 016098 5 - Fundação Universidade Federal de São Carlos (UFScar) ; University of Waikato (Nova Zelândia) . Guilherme Weigert Cassales - January 2021, 01