Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Roy Yu

dblp:147/0997 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 · 46% Processor architecture and microarchitecture · 30% Integrated circuit design · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
3d integration
0.212014
3D stacking of high-performance processors · HPCA 2014
Processor architecture and microarchitecture › multi-chip architecture
3d stacking
0.212014
3D stacking of high-performance processors · HPCA 2014
Energy-efficient computing
power density
0.212014
3D stacking of high-performance processors · HPCA 2014
Energy-efficient computing
thermal management
0.212014
3D stacking of high-performance processors · HPCA 2014
Processor architecture and microarchitecture › microprocessor
high-performance processors
0.112014
3D stacking of high-performance processors · HPCA 2014
YearPublicationVenuePosition
2014 3D stacking of high-performance processors
abstract
In most 3D work to date, people have looked at two situations: 1) a case in which power density is not a problem, and the parts of a processor and/or entire processors can be stacked atop each other, and 2) a case in which power density is limited, and storage is stacked atop processors. In this paper, we consider the case in which power density is a limitation, yet we stack processors atop processors. We also will discuss some of the physical limitations today that render many of the good ideas presented in other work impractical, and what would be required in the technology to make them feasible. In the high-performance regime, circuits are not designed to be “power efficient;” they're designed to be fast. In power-efficient design, the speed and power of a processor should be nearly proportional. In the high-performance regime, the frequency is (ever progressingly) sublinear in power. Thus, when the power density is constrained - as it is in high-performance machines, there may be opportunities to selectively exploit parallelism in workloads by running processor-on-processor systems at the same power, yet at much greater than half speed.
Philip G. Emma, Alper Buyuktosunoglu, Michael B. Healy, Krishnan Kailas, Valentin Puente, Roy Yu, Allan Hartstein, Pradip Bose, Jaime H. Moreno, Eren Kursun
HPCA6