Demo Data from EDBT 2026 / reviewers in the wild / expert
Yanghee Lee
dblp:389/7199
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0004-8378-2913ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
out-of-order execution |
0.8 | 1 | 2024 | Geneva: A Dynamic Confluence of Speculative Execution and In-Order Commitment Windows · DAC 2024 |
Processor architecture and microarchitecture
speculative execution |
0.8 | 1 | 2024 | Geneva: A Dynamic Confluence of Speculative Execution and In-Order Commitment Windows · DAC 2024 |
Energy-efficient computing › energy-efficient architecture
energy-efficient microarchitecture |
0.2 | 1 | 2024 | Geneva: A Dynamic Confluence of Speculative Execution and In-Order Commitment Windows · DAC 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Geneva: A Dynamic Confluence of Speculative Execution and In-Order Commitment WindowsabstractModern out-of-order microprocessors are increasingly expanding resources such as reorder buffer (ROB) and instruction queue (IQ) for memory-level parallelism (MLP). While this expansion effectively addresses the memory wall challenge, it also incurs notable cost and energy trade-offs. To tackle this, we propose Geneva, a microarchitecture that improves performance and saves energy. Geneva reallocates a portion of an ROB to serve as a dynamic queue (DQ), used as an ROB, IQ, or both depending on operational needs. Geneva saves energy by 15.6% and improves performance by 2.6% compared to the conventional out-of-order core. Yanghee Lee, Jiwon Lee 0001, Jaewon Kwon, Yongju Lee 0003, Won Woo Ro |
DAC | 1 |