2012 Eighth International Conference on Intelligent Environments 2012
DOI: 10.1109/ie.2012.35
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments

Abstract: In this paper we propose to apply the Dynamic Partial Reconfiguration (DPR) technology to embedded systems intended for Intelligent Environments. To reach this goal, we have developed a system based on a Field Programmable Gate Array (FPGA) in which high performance hardware modules can be reconfigured on-line according to the necessities of the system at each moment. Two different implementations have been carried out to measure the time required to reconfigure each module and also to measure the FPGA resourc… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 8 publications
0
1
0
Order By: Relevance
“…Like a microprocessor multi-task system, such a feature allows a multiplex of distinct hardware modules to run simultaneously. Thus, functional pre-synthesized hardware blocks (i.e., logical blocks) can be reconfigured or not reconfigured according to the system's needs [34,35]. The associated system architecture is coordinated by a microcontroller device in charge of reconfiguring the pre-synthesized hardware blocks in FPGA devices [36].…”
Section: Related Workmentioning
confidence: 99%
“…Like a microprocessor multi-task system, such a feature allows a multiplex of distinct hardware modules to run simultaneously. Thus, functional pre-synthesized hardware blocks (i.e., logical blocks) can be reconfigured or not reconfigured according to the system's needs [34,35]. The associated system architecture is coordinated by a microcontroller device in charge of reconfiguring the pre-synthesized hardware blocks in FPGA devices [36].…”
Section: Related Workmentioning
confidence: 99%