Khouloud Bouaziz

dblp:194/7965 · DBLP profile ↗
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3ranked-venue papers
3as first author
1since 2021 · last 2022
0000-0003-0770-1419ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Interconnection networks and networks-on-chip · 43% Electronic design automation · 43% Reconfigurable computing and FPGAs · 14%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Reconfigurable computing and FPGAs
FPGA architecture
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation › design automation tools
FPGA CAD
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation › physical design › placement and routing
FPGA placement and routing
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Interconnection networks and networks-on-chip
interconnect architecture
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Interconnection networks and networks-on-chip › network topology › hierarchical interconnection network
mesh of trees
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Interconnection networks and networks-on-chip
network topology
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation
physical design
0.612022
Mesh of Trees FPGA Architecture: Exploration and Optimization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022

Methods — techniques the papers use, named apart from their topics

power-area-delay modeling · 0.6
YearPublicationVenuePosition
2022 Mesh of Trees FPGA Architecture: Exploration and Optimization
abstract
The design of large devices suggests fundamental and efficient innovation in the field programmable gate array (FPGA) interconnect structure to improve power consumption, density, and performance. Mesh-based FPGA architectures are generally designed to maximize logic utilization and to ensure layout scalability whereas tree-based FPGA architectures are designed to increase interconnect utilization. In this article, we propose a new mesh of trees (MoTs) FPGA architecture where we try to benefit from mesh of clusters (MoCs) FPGA layout scalability and tree-based FPGA efficient intracluster interconnect utilization, thanks to the butterfly fat-tree (BFT) topology. In order to attain the efficient use of the proposed routing interconnect resources, we develop computer-aided design (CAD) tools that respond to the target MoTs FPGA features. In addition, we define the power, area, and delay metric models according to the proposed architecture criteria. The experimentation results show that MoTs architecture with a cluster arity 32 offers the best tradeoff between power, area, and delay. Furthermore, we conduct a comparison between MoTs and MoCs FPGAs in general and the best MoTs and MoCs solutions, which ensure the best tradeoff between power, area, and delay in particular. The results show that the best MoTs architecture reduces power, area, delay, and energy by an average of 29%, 6%, 40%, and 47%, respectively, in comparison with the best MoCs architecture.
Khouloud Bouaziz, Sonda Chtourou, Zied Marrakchi, Abdulfattah Mohammad Obeid, Mohamed Abid
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1
2020 A-Part: Top-Down Clustering Approach for Mesh of Clusters FPGA
Khouloud Bouaziz, Sonda Chtourou, Zied Marrakchi, Abdulfattah Mohammad Obeid, Mohamed Abid
ISDA1
2019 Impact of Clustering Algorithms on the performance of Multilevel Switch Boxes FPGA with Long Wires
abstract
Computer-Aided Design (CAD) tools represent a major factor to enhance the quality of Field Programmable Gate Arrays (FPGAs) and use their architectural resources to their full potential. Since they can be developed to satisfy application constraints like surface, speed and energy while responding to Time-to-market requirements. In this paper, we explore the impact of T-VPack and First Choice (FC) clustering algorithms on the performance of Multilevel Switch Boxes (MS) FPGA with Long Wires (LWs). Indeed, the performance of an FPGA is highly sensitive to the mapping of Logic Blocks (LBs) on FPGA architecture. This work shows that FC ameliorates power consumption, area, critical path delay and energy compared to T-VPack.
Khouloud Bouaziz, Sonda Chtourou, Mohamed Abid, Zied Marrakchi, Abdulfattah Mohammad Obeid
IWCMC1