Demo Data from EDBT 2026 / reviewers in the wild / expert
Li-Jie Jin
dblp:314/5050
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—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 |
Memory systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › shared memory
distributed shared memory |
0.0 | 1 | 1999 | Adaptive protocols for software distributed shared memory · Proc. IEEE 1999 |
Memory systems › cache coherence › coherence protocol optimization
adaptive coherence protocol |
0.0 | 1 | 1999 | Adaptive protocols for software distributed shared memory · Proc. IEEE 1999 |
Memory systems
cache coherence |
0.0 | 1 | 1999 | Adaptive protocols for software distributed shared memory · Proc. IEEE 1999 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Adaptive protocols for software distributed shared memoryabstractWe demonstrate the benefits of software shared memory protocols that adapt at run time to the memory access patterns observed in the applications. This adaptation is automatic-no user annotations are required-and does not rely on compiler support or special hardware. We investigate adaptation between singleand multiple-writer protocols, dynamic aggregation of pages into a larger transfer unit, and adaptation between invalidate and update. Our results indicate that adaptation between single- and multiple-writer and dynamic page aggregation are clearly beneficial. The results for the adaptation between invalidate and update are less compelling, showing at best gains similar to the dynamic aggregation adaptation and at worst serious performance deterioration. Cristiana Amza, Alan L. Cox, Sandhya Dwarkadas, Li-Jie Jin, Karthick Rajamani, Willy Zwaenepoel |
Proc. IEEE | 4 |