Demo Data from EDBT 2026 / reviewers in the wild / expert
Pascal Tessier
dblp:163/9042
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—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 |
Energy-efficient computing · 44% Electronic design automation · 28% Memory systems · 28% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing › power modeling
architectural-level power estimation |
0.2 | 1 | 2015 | FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015 |
Electronic design automation
power estimation |
0.2 | 1 | 2015 | FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015 |
Energy-efficient computing
dynamic power reduction |
0.1 | 1 | 2015 | FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015 |
Energy-efficient computing
low-power design |
0.1 | 1 | 2015 | FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015 |
Methods — techniques the papers use, named apart from their topics
pre-RTL power modeling · 0.2VCD-based simulation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-SystemsabstractFramework is developed for estimation of power at pre register transfer level (RTL) stage for structured memory sub-systems. Power estimation model is proposed specifically targeting power consumed by clock network and interconnect. The model is validated with VCD-based simulation on back-annotated netlist of an 8 MB memory sub-system used as video RAM (VRAM) for high-end graphics applications. This methodology also forms the basis for low-power exploration driving floor plan choice, gating structure of data, and clock network. We demonstrate 57% reduction in dynamic power by using low-power techniques for the 8 MB VRAM used as frame buffer in a graphics processor. FALPEM can be extended to other applications like processor cache and ASIC designs. Amit Chhabra, Harsh Rawat, Pascal Tessier, Daniel Pierredon, Laurent Bergher, Promod Kumar |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 4 |