Study and development of a Big Data HW Accelerator Engine based on FPGA
Riferimenti LUCA STERPONE
Gruppi di ricerca DAUIN - GR-05 - ELECTRONIC CAD & RELIABILITY GROUP - CAD
Descrizione In the framework of the Big Data area, the Extract, Load and Transform (ELT) approach is an important data processing procedure to transfer raw data from a source server to a data warehouse.
Field-programmable gate array(FPGA) with highly customized circuits are the perfect candidate to not only bring better performances but also lower power consumption to accelerate computation intensive segments for an application. The goal of the present thesis is to develop a new ELT hardware engine on Xilinx Zynq SRAM-based FPGAs interfaced with a data warehouse and to estimate the performances and the power consumption.
Conoscenze richieste VHDL, C/C++, Python
Scadenza validita proposta 01/02/2021 PROPONI LA TUA CANDIDATURA