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S. Wiratunga

dblp:21/1917 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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 · 67% Processor architecture and microarchitecture · 33%

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

TopicWeightPapersLastEvidence papers
Energy-efficient computing › low-power design
power optimization
0.012000
Power minimization derived from architectural-usage of VLIW processors · DAC 2000
Energy-efficient computing
power prediction
0.012000
Power minimization derived from architectural-usage of VLIW processors · DAC 2000
Processor architecture and microarchitecture › instruction-level parallelism › VLIW
VLIW processor
0.012000
Power minimization derived from architectural-usage of VLIW processors · DAC 2000

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

regression · 0.0empirical power modeling · 0.0
YearPublicationVenuePosition
2000 Power minimization derived from architectural-usage of VLIW processors
abstract
This paper presents an empirical approach to inferring low power code generation techniques for VLIW processors. Architectural usage variables are used to generate equations for power prediction which are in turn used to infer new code generation techniques for low power. Unlike previous techniques, the methodology empirically derives a power prediction equation and then based upon the coefficients of the architectural-usage variables identifies new VLIW code generation techniques for low power. The approach is illustrated using functional unit usage within a VLIW architecture and identifies a new operation rebinding technique for low power which improved power dissipation up to 18%. The approach is general and results are verified with real power measurements. This result is important for developing a general methodology for power minimization of embedded DSP software since low power is critical to complex DSP applications in many cost sensitive markets.
Catherine H. Gebotys, Robert J. Gebotys, S. Wiratunga
DAC3