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Edward Umaña Williams

dblp:286/5081 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 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 · 87% Embedded and real-time systems · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing
energy-aware scheduling
0.412020
Work-In-Progress: Fine-Grained On-Chip Energy Measurement of a Real-Time Multi-Core Processor · RTSS 2020
Energy-efficient computing
power measurement
0.412020
Work-In-Progress: Fine-Grained On-Chip Energy Measurement of a Real-Time Multi-Core Processor · RTSS 2020
Embedded and real-time systems › real-time scheduling › mixed-criticality scheduling
mixed-criticality systems
0.112020
Work-In-Progress: Fine-Grained On-Chip Energy Measurement of a Real-Time Multi-Core Processor · RTSS 2020

Methods — techniques the papers use, named apart from their topics

on-chip ADC measurement · 0.4
YearPublicationVenuePosition
2020 Work-In-Progress: Fine-Grained On-Chip Energy Measurement of a Real-Time Multi-Core Processor
abstract
Embedded systems are often constrained by their energy consumption. To create energy-efficient software or to validate worst-case energy behavior, sophisticated energy models can be used. Measuring the energy consumption of a processor on a fine-grained level for an energy model typically requires the design of custom measurement hardware. In this paper we present a simple measurement setup using the on-chip ADC of a TriCore AURIX TC277 multi-core processor, utilizing one core as a measurement core without the need of external or additional HW. We show that with this setup, a reasonable level of accuracy can be achieved. Furthermore, this also enables on-line power measurements and energy-aware decisions for, e.g., mixed criticality systems.
Dominic Oehlert, Edward Umaña Williams, Heiko Falk
RTSS2