Banca de DEFESA: LEONARDO ALVES DIAS

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : LEONARDO ALVES DIAS
DATE: 05/10/2020
TIME: 10:00
LOCAL: https://harvard.zoom.us/j/93863503171
TITLE:

Parallel Implementation proposal of Clustering Algorithms in Hardware

KEY WORDS:

Massive Data sets, Data Clustering, Parallel Systems, Hardware.

PAGES: 91
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Circuitos Elétricos, Magnéticos e Eletrônicos
SPECIALTY: Circuitos Eletrônicos
SUMMARY:

This work presents a study on data clustering algorithms implemented in dedicated hardware for applications in general, aiming to increase the processing speed. Clustering algorithms have been widely adopted to find patterns between data in different areas. However, these algorithms usually imply high processing complexity and, in addition, the amount of data currently stored is massive. Therefore, the need for high-throughput data processing has become even more critical, especially for real-time applications. One solution that has been adopted to increase processing speed is the use of parallel techniques implemented on dedicated hardware, which has proved to be more efficient compared to sequential systems. Therefore, this work proposes the fully parallel implementation of data clustering algorithms in hardware to optimize the processing time of systems in several areas, enabling applications for systems with a massive amount of data. A new proposal for implementations of the clustering algorithms K-means and Self-Organizing Maps are presented, together with an analysis of the results related to throughput and the hardware resource for different parameters. The implementations presented here point to a new direction associated with the implementation of clustering algorithms and can be used in other algorithms.

BANKING MEMBERS:
Presidente - 1837240 - MARCELO AUGUSTO COSTA FERNANDES
Interno - 2885532 - IVANOVITCH MEDEIROS DANTAS DA SILVA
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO
Externo à Instituição - NANDOR VERBA
Externo à Instituição - CARLOS ALBERTO VALDERRAMA SAKUYAMA - UMONS