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J. Dido

dblp:57/5229 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

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

Systems, architecture and hardware · 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
Hardware accelerators and domain-specific architectures · 67% Reconfigurable computing and FPGAs · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Reconfigurable computing and FPGAs › FPGA arithmetic
FPGA floating-point arithmetic
0.012002
A flexible floating-point format for optimizing data-paths and operators in FPGA based DSPs · FPGA 2002
Hardware accelerators and domain-specific architectures
signal processing accelerator
0.012002
A flexible floating-point format for optimizing data-paths and operators in FPGA based DSPs · FPGA 2002
Hardware accelerators and domain-specific architectures › video processing accelerator
video signal processor
0.012002
A flexible floating-point format for optimizing data-paths and operators in FPGA based DSPs · FPGA 2002

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

custom floating-point representation · 0.0
YearPublicationVenuePosition
2002 A flexible floating-point format for optimizing data-paths and operators in FPGA based DSPs
abstract
Video signal processing requires complex algorithms performing many basic operations on a video stream. To perform these calculations in real-time in a FPGA, we must use innovative structures to meet speed requirements while managing complexity. As part of a project aiming at the development of a video noise reducer, we developed an optimized processing stream that required some floating-point calculations. This paper presents the rationale for developing a floating-point unit, justifies the data representation used, its implementation in a Xilinx VirtexE FPGA and reports the performance we obtained. A divider using this representation is also presented, with its implementation and performances in the same FPGA.
J. Dido, N. Géraudie, L. Loiseau, O. Payeur, Yvon Savaria, D. Poirier
FPGA1