Demo Data from VLDB 2026 / reviewers in the wild / expert
David Howland
dblp:55/628
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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 |
Electronic design automation · 91% Reconfigurable computing and FPGAs · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation
logic synthesis |
0.1 | 1 | 2007 | Power-aware FPGA logic synthesis using binary decision diagrams · FPGA 2007 |
Electronic design automation › logic synthesis › technology mapping
low-power technology mapping |
0.1 | 1 | 2007 | Power-aware FPGA logic synthesis using binary decision diagrams · FPGA 2007 |
Electronic design automation › logic synthesis
technology mapping |
0.1 | 1 | 2007 | Power-aware FPGA logic synthesis using binary decision diagrams · FPGA 2007 |
Methods — techniques the papers use, named apart from their topics
signal switching estimation · 0.1binary decision diagram · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Power-aware FPGA logic synthesis using binary decision diagramsabstractPower consumption in field programmable gate arrays (FPGAs) has become an important issue as the FPGA market has grown to include mobile platforms. In this work we present a power-aware logic optimization tool that is specialized to facilitate subsequent power-aware technology mapping. Our synthesis framework uses binary decision diagram (BDD) based collapsing and decomposition techniques in conjunction with signal switching estimates to achieve power-efficient circuit networks. The results of synthesis and subsequent power-aware technology mapping are evaluated using two distinct physical design platforms: academic VPR and Altera Quartus II. Our approach achieves an average energy reduction of 13% for Altera Cyclone II devices versus synthesis with SIS-based algebraic optimization at the cost of 11% average circuit performance if performance-optimal technology mapping is performed after synthesis. If technology mapping is tuned to achieve the same average delay for both SIS and BDD-based flows, a 3% average energy reduction is achieved by our new synthesis approach. Kevin Oo Tinmaung, David Howland, Russell Tessier |
FPGA | 2 |