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Chia-Pin Chiu

dblp:28/1799 · 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

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 · 81% Processor architecture and microarchitecture · 19%

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

TopicWeightPapersLastEvidence papers
Energy-efficient computing
thermal management
0.112006
Cooling a Microprocessor Chip · Proc. IEEE 2006
Processor architecture and microarchitecture
microprocessor design
0.012006
Cooling a Microprocessor Chip · Proc. IEEE 2006
Energy-efficient computing
power density
0.012006
Cooling a Microprocessor Chip · Proc. IEEE 2006

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

thermal modeling · 0.1packaging design · 0.1
YearPublicationVenuePosition
2006 Cooling a Microprocessor Chip
abstract
Increasing microprocessor performance has historically been accompanied by increasing power and increasing on-chip power density, both of which present a cooling challenge. In this paper, the historical evolution of power is traced and the impact of power and power density on thermal solution designs is summarized. Industrial and academic researchers have correspondingly increased their focus on elucidating the problem and developing innovative solutions in devices, circuits, architectures, packaging and system level heatsinking. Examples of some of the current packaging and system thermal solutions are provided to illustrate the strategies used in their design. This is followed by a brief discussion of some of the future trends in demand and solution strategies that are being developed by academic and industrial researchers to meet these demands. Potential opportunities and limitations with these strategies are reviewed.
Ravi Mahajan, Chia-Pin Chiu, Greg Chrysler
Proc. IEEE2