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Daniel Pierredon

dblp:163/9045 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power modeling
architectural-level power estimation
0.212015
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
0.212015
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
0.112015
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
0.112015
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
YearPublicationVenuePosition
2015 FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems
abstract
Framework 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.5