EDBT 2026 Demo / reviewers in the wild / expert
Kei Ho
dblp:34/4332
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 · 75% Embedded and real-time systems · 25% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › networked embedded systems
embedded sensor system |
0.1 | 1 | 2006 | The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006 |
Energy-efficient computing
energy-efficient architecture |
0.1 | 1 | 2006 | The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006 |
Energy-efficient computing › energy measurement
energy monitoring |
0.1 | 1 | 2006 | The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006 |
Energy-efficient computing
power management |
0.1 | 1 | 2006 | The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006 |
Internet of things and sensor networks › wireless sensor network
environmental monitoring |
0.0 | 1 | 2006 | The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006 |
Methods — techniques the papers use, named apart from their topics
power control scheduling · 0.1energy profiling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | The low power energy aware processing (LEAP)embedded networked sensor systemabstractA broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. The LEAP architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. The LEAP2 platform is a second generation LEAP system with even higher resolution energy monitoring as well as the unique ability to do per process and per application energy profiling via a dedicated high performance ASIC. This poster will demonstrate the hardware platform capabilities as well as the energy-aware software currently available for LEAP2. Dustin McIntire, Kei Ho, Bernie Yip, Amarjeet Singh 0001, Winston H. Wu, William J. Kaiser |
IPSN | 2 |