EDBT 2026 Demo / reviewers in the wild / expert
Lucas Bürgi
dblp:429/2904
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0007-7214-2568ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 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 |
Memory systems · 70% Storage systems · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
crash consistency |
1.0 | 1 | 2026 | A Programming Model for Disaggregated Memory over CXL · ASPLOS (2) 2026 |
Memory systems › memory disaggregation
CXL memory |
1.0 | 1 | 2026 | A Programming Model for Disaggregated Memory over CXL · ASPLOS (2) 2026 |
Memory systems
memory disaggregation |
1.0 | 1 | 2026 | A Programming Model for Disaggregated Memory over CXL · ASPLOS (2) 2026 |
Memory systems › cache coherence
cache-coherent interconnect |
0.3 | 1 | 2026 | A Programming Model for Disaggregated Memory over CXL · ASPLOS (2) 2026 |
Methods — techniques the papers use, named apart from their topics
programming model design · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A Programming Model for Disaggregated Memory over CXLabstractCXL (Compute Express Link) is an emerging open industry-standard interconnect between processing and memory devices that is expected to revolutionize the way systems are designed. It enables cache-coherent, shared memory pools in a disaggregated fashion at unprecedented scales, allowing algorithms to interact with various storage devices using simple loads and stores. While CXL unleashes unique opportunities, it also introduces challenges of data management and crash consistency. For example, CXL currently lacks an adequate programming model, making it impossible to reason about the correctness and behavior of systems on top. Gal Assa, Moritz Lumme, Lucas Bürgi, Michal Friedman 0001, Ori Lahav 0001 |
ASPLOS (2) | 3 |