Kei Ho

dblp:34/4332 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › networked embedded systems
embedded sensor system
0.112006
The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006
Energy-efficient computing
energy-efficient architecture
0.112006
The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006
Energy-efficient computing › energy measurement
energy monitoring
0.112006
The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006
Energy-efficient computing
power management
0.112006
The low power energy aware processing (LEAP)embedded networked sensor system · IPSN 2006
Internet of things and sensor networks › wireless sensor network
environmental monitoring
0.012006
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
YearPublicationVenuePosition
2006 The low power energy aware processing (LEAP)embedded networked sensor system
abstract
A 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
IPSN2