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Edmée Legai

dblp:08/3309 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Systems, architecture and hardware · 2

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
Electronic design automation · 80% Reconfigurable computing and FPGAs · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › benchmark generation
benchmark circuit generation
0.012000
PartGen: a generator of very large circuits to benchmark thepartitioning of FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000
Electronic design automation
benchmark generation
0.012000
PartGen: a generator of very large circuits to benchmark thepartitioning of FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000
Electronic design automation › physical design
circuit partitioning
0.012000
PartGen: a generator of very large circuits to benchmark thepartitioning of FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000
Reconfigurable computing and FPGAs
FPGA partitioning
0.012000
PartGen: a generator of very large circuits to benchmark thepartitioning of FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000
Electronic design automation
physical design
0.012000
PartGen: a generator of very large circuits to benchmark thepartitioning of FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000

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

statistical circuit generation · 0.0netlist subgenerator · 0.0
YearPublicationVenuePosition
2000 PartGen: a generator of very large circuits to benchmark thepartitioning of FPGAs
abstract
This paper describes a new procedure for generating very large realistic benchmark circuits which are especially suited for the performance evaluation of field programmable gate array partitioning algorithms. These benchmark circuits can be generated quickly. The generation of a netlist of 100 K configurable logic blocks (500 K equivalent gates), for instance, takes only 2 min on a standard UNIX workstation. The analysis of a large number of netlists from real designs lead us to identify the following five different kinds of subblocks: regular combinational logic, irregular combinational logic, combinational and sequential logic, memory blocks, and interconnections. Therefore, our generator integrates a subgenerator for each of these types of netlist. The comparison of the partitioning results of industrial netlists with those obtained from generated netlists of the same size shows that the generated netlists behave similarly to the originals in terms of average filling rate and average pin utilization.
Joachim Pistorius, Edmée Legai, Michel Minoux
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2
1999 Generation of very large circuits to benchmark the partitioning of FPGA
abstract
This paper describes a new procedure for generating very large realistic benchmark circuits which are especially suited for the performance evaluation of FPGA partitioning algorithms.These benchmark circuits can be generated quickly.The generation of a netlist of 1OOK CLBs (500K equivalent gates), for instance, takes only two minutes on a standard UNIX workstation.The analysis of a large number of netlists from real designs lead us to identify the following five different kinds of sub-blocks: Regular combinational logic, irregular combinational logic, combinational and sequential logic, memory blocks, and interconnections.Therefore, our generator integrates a sub-generator for each of these types of netlist.The comparison of the partitioning results of industrial netlists with those obtained from generated netlists of the same size shows that the generated netlists behave similarly to the originals in terms of average filling rate and average pin utilization.
Joachim Pistorius, Edmée Legai, Michel Minoux
ISPD2