Demo Data from VLDB 2026 / reviewers in the wild / expert
D. Poirier
dblp:43/548
· DBLP profile ↗
1ranked-venue papers
0as 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
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Reconfigurable computing and FPGAs › FPGA arithmetic
FPGA floating-point arithmetic |
0.0 | 1 | 2002 | 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 |
0.0 | 1 | 2002 | 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 |
0.0 | 1 | 2002 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | A flexible floating-point format for optimizing data-paths and operators in FPGA based DSPsabstractVideo 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 |
FPGA | 6 |