Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ta-Wei Lin
dblp:87/3039
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 |
Processor architecture and microarchitecture · 87% Energy-efficient computing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture › multi-chip architecture
3d stacking |
0.1 | 1 | 2012 | Dynamically heterogeneous cores through 3D resource pooling · HPCA 2012 |
Processor architecture and microarchitecture › multicore design
heterogeneous multicore |
0.1 | 1 | 2012 | Dynamically heterogeneous cores through 3D resource pooling · HPCA 2012 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Dynamically heterogeneous cores through 3D resource poolingabstractThis paper describes an architecture for a dynamically heterogeneous processor architecture leveraging 3D stacking technology. Unlike prior work in the 2D plane, the extra dimension makes it possible to share resources at a fine granularity between vertically stacked cores. As a result, each core can grow or shrink resources, as needed by the code running on the core. This architecture, therefore, enables runtime customization of cores at a fine granularity and enables efficient execution at both high and low levels of thread parallelism. This architecture achieves performance gains from 9-41%, depending on the number of executing threads, and gains significant advantage in energy efficiency of up to 43%. Houman Homayoun, Vasileios Kontorinis, Amirali Shayan, Ta-Wei Lin, Dean M. Tullsen |
HPCA | 4 |