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Lambert T. Leong

dblp:260/6406 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-2927-8458ORCID · reported

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
Interconnection networks and networks-on-chip · 91% Parallel and multicore computing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip
3d network-on-chip
0.412019
Sparse 3-D NoCs with Inductive Coupling · DAC 2019
Interconnection networks and networks-on-chip
inductive coupling
0.412019
Sparse 3-D NoCs with Inductive Coupling · DAC 2019
Interconnection networks and networks-on-chip
network topology
0.412019
Sparse 3-D NoCs with Inductive Coupling · DAC 2019
Parallel and multicore computing › parallel computing
parallel application performance
0.112019
Sparse 3-D NoCs with Inductive Coupling · DAC 2019

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

randomized network topology generation · 0.4deterministic layout transformation · 0.4
YearPublicationVenuePosition
2019 Sparse 3-D NoCs with Inductive Coupling
abstract
Wireless interconnects based on inductive coupling technology are compelling propositions for designing 3-D integrated chips. This work addresses the heat dissipation problem on such systems. Although effective cooling technologies have been proposed for systems designed based on Through Silicon Via (TSV), their application to systems that use inductive coupling is problematic because of increased wireless-communication distance. For this reason, we propose two methods for designing sparse 3-D chips layouts and Networks on Chip (NoCs) based on inductive coupling. The first method computes an optimized 3-D chip layout and then generates a randomized network topology for this layout. The second method uses a standard stack chip layout with a standard network topology as a starting point, and then deterministically transforms it into either a "staircase" or a "checkerboard" layout. We quantitatively compare the designs produced by these two methods in terms of network and application performance. Our main finding is that the first method produces designs that ultimately lead to higher parallel application performance, as demonstrated for nine OpenMP applications in the NAS Parallel Benchmarks.
Michihiro Koibuchi, Lambert T. Leong, Tomohiro Totoki, Naoya Niwa, Hiroki Matsutani, Hideharu Amano, Henri Casanova
DAC2